\nAbout this role\n\n\n\n\nSynternet is a blockchain that powers real-time data infrastructure on any chain. Its foundation is the Data Layer, a protocol that enables chain-agnostic data composability in real-time.\n\n\n\n\nWe are looking for a Developer Relations Engineer to join our technology organization and act as the bridge between Synternet and our technical audiences. This is an opportunity for someone with a solid technical background to make an impact from day 1 by contributing to a variety of different Developer-focussed projects and initiatives, and to learn and expand your skillset by gradually taking up a wider variety of work and more responsibility. The ideal candidate for this role will be a passionate technologist who likes to get involved in different ways, wants to tinker, learn,progress, and enjoys interacting with technical communities.\n\n\n\n\nYou will join a company filled with like-minded people who understand the purpose and impact of our project, and you will help to fulfill that purpose. Find out more at https://www.synternet.com/\n\n\n\n\nWe prefer the candidate to be based in Lithuania for easier face-to-face access with your team, however as we're remote-first, you can be based anywhere, as long as you're aligned with European time zones.\n\n\n\n\n\n\n\nMain responsibilities\n\n\n\n\nFrom the start of your journey, you will be expected to carry out the following tasks:\n\n\n\n\n\n* \nDocumentation ownership and regular updates: Take ownership of our documentation, ensuring that it remains comprehensive, up-to-date, and easily accessible to developers and users. Regularly update the documentation to reflect changes in the protocol, new features, and best practices for integration and usage.\n\n\n* \nTechnical Community Engagement: Interact with developers, builders, and enthusiasts through platforms like Discord (and Telegram). Provide guidance, answer questions, and foster a supportive community environment.\n\n\n* \nPublic Release notes publication: Compile and publish comprehensive release notes for our public releases. \n\n\n* \nOpen-source advocacy and management of repositories: Work with the engineering team to ensure our preparedness for open sourcing and community participation developing the protocol. This includes documentation, shared naming and contribution policies, and maintaining and managing the open-source repositories associated with Synternet.\n\n\n\n\n\n\n\n\nAdditionally, either from the start or gradually, you will work on the tasks and projects below: \n\n\n\n\n\n* \nTechnical Collaboration: Collaborate closely with the engineering team to understand the technical intricacies of the public-facing elements of the Data Layer and convey this externally.\n\n\n* \nDeveloper Events: Organize both external and internal developer-focused events such as hackathons, meetups, and Builders Townhalls. These events will foster learning, collaboration, and innovation within the Synternet community.\n\n\n* \nExternal Project Support: Offer support and guidance to developers working on external projects that utilize the Synternet Data Layer, helping them overcome challenges and maximize the potential of our technology.\n\n\n* \nVideo Tutorials: Create video tutorials that guide developers through various aspects of using the Synternet Data Layer. These tutorials will be valuable resources for both newcomers and experienced users.\n\n\n* \nManagement of Builders' initiatives: Shape the future of the Synternet Builders program and similar initiatives, which includes reviewing applications, conducting interviews, and nurturing a vibrant community of builders.\n\n\n* \nCooperation with Marketing: Collaborate with the marketing team to shape messaging and content related to the Synternet Data Layer. Help drive developer engagement through targeted campaigns and initiatives.\n\n\n* \nShaping Protocol for Data Layer: Provide valuable feedback from the developer community to help shape the future direction and features of the Synternet Data Layer.\n\n\n* \nConference / Hackathon Presence: Represent Synternet at blockchain conferences and events, running live workshops, presentations, and networking with developer communities.\n\n\n\n\n\n\n\n\nRequirements\n\n\n* 2+ years experience in programming/engineering: Node.js / Golang / Python preferred. \n\n* A broad understanding of various technical disciplines and a general passion for technology.\n\n* An interest in Blockchain technology and industry.\n\n* Willingness to learn.\n\n* Self-starter, experienced seeing through projects end-to-end\n\n* Preferred - experience working on an open-source project/technology.\n\n* Preferred - Previous attendee of hackathons etc\n\n* Preferred - previous experience working at a fast-paced technology start-up/company.\n\n\n\n\n\n\n\nYou get\n\n\n* The expected salary for this role is 2500-4500 eur/month (gross), but will depend on experience.\n\n* A piece of the Synternet pie - semi-annual cryptocurrency bonuses in NOIA - Synternet's own token.\n\n* An annual budget for your professional & personal development.\n\n* 12 days per year dedicated for your professional development.\n\n* Remote-first environment (you’re still welcome to come to one of our offices, but you choose!)\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Marketing, Golang and Engineer jobs that are similar:\n\n $67,500 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nWorldwide

This role can be based in London or Liverpool (Hybrid) \nOverview:\n\nWe are seeking a highly skilled and experienced software engineer with a strong background in Python and Node.js to join our team. The ideal candidate will have experience working with video and audio. Experience in machine learning frameworks is desirable but not essential. Familiarity with containerization technology like Docker will significantly contribute to our projects. This role could be fully remote (with occasional in-person meet-ups) or based out of our London or Liverpool offices.\n\n \nAbout the Team:\n\nThe PlayStation Studios SHIP team develops, maintains and supports a web portal encompassing a variety of web applications and other tools to meet the needs of first-party game development studios and many other internal groups. These include custom deployments of standard applications such as git repos and Jira bug trackers as well as in-house technology to support tasks such as art reviews and user experience testing. The team is mostly based in the USA with a small UK presence.\n\n \nKey Responsibilities\n\n\n* Design, develop, and implement software solutions to analyse video, audio, and other input streams\n\n* Create efficient algorithms for processing and interpreting log data\n\n* Leverage machine learning technologies to interpret complex data from various sources.\n\n* Collaborate with cross-functional teams to gather requirements, design system architecture, and integrate new features.\n\n* Apply expertise in Python and Node.js to integrate with RESTful APIs.\n\n* Ensure the reliability and performance of all tools and applications by implementing best practices for testing, including unit, integration, and acceptance tests.\n\n* Use Docker and other containerisation technologies for consistent development, testing, and deployment environments.\n\n\n\nBasic Qualifications\n\n\n* Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).\n\n* Minimum of 7 years of professional experience in software development with a focus on Python and Node.js.\n\n* Experience with Docker and a solid understanding of containerization principles.\n\n* Familiarity with Agile/Scrum processes and project management tools such as Jira.\n\n* Comfortable working with teams in other time zones.\n\n* Advanced proficiency with Linux\n\n\n\nPreferred Qualifications\n\n\n* Experience with multi-media processing and analysis.\n\n* Strong understanding and practical experience with machine learning frameworks (e.g. TensorFlow, PyTorch).\n\n* Strong problem-solving skills and the ability to work on complex issues.\n\n* Ability to communicate effectively and collaborate with key stakeholders from different backgrounds and disciplines.\n\n* Leadership skills with a track record of leading projects to successful completion.\n\n* Experience in developing tools and workflows that enhance the productivity of technical teams.\n\n* Proficient with SQL database design, implementation and optimisation.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, Git, Senior and Engineer jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLondon, England, United Kingdom

About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n $70,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

🚀 Whatnot\n\nWhatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.\n\nWe’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.\n\nAnd, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.\n💻 Role\n\n\nPartner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools\n\nBuild actionable KPIs, create production-quality dashboards and notebooks to convey insights\n\nDefine and advance best practices within an experiment-driven culture\n\nInform product engineering roadmap through analysis of marketplace, user behavior, and product trends\n\n\n\n👋 About You\n\nWe are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.\n\nYou should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.\n\nIn addition to 6+ years of experience in the Data Analytics field, you should have:\n\n\nExcellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators\n\n* Bachelor’s degree in Computer Science, a related field, or equivalent work experience. \n\nDemonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields\n\nIndustry experience with proven ability to apply scientific methods to solve real-world problems on large scale data\n\nAbility to lead initiatives across multiple product areas and communicate findings with leadership and product teams\n\nComfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT\n\nExpert in using SQL for data analysis, reporting, and dashboarding\n\nExperience with a scripting language such as Python or R \n\nAptitude and experience in applied statistical modeling and machine learning techniques\n\nFirm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks\n\n\n\n💰Compensation\n\nFor US-based applicants: $178,000 - $260,000/year + benefits + stock options\n\nThe salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.\n🎁  Benefits\n\n\n* Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)\n\n* Health Insurance options including Medical, Dental, Vision\n\n* Work From Home Support\n\n\n* $1,000 home office setup allowance\n\n* $150 monthly allowance for cell phone and internet\n\n\n\n\n\n* Care benefits\n\n\n* $450 monthly allowance on food\n\n* $500 monthly allowance for wellness\n\n* $5,000 annual allowance towards Childcare\n\n* $20,000 lifetime benefit for family planning, such as adoption or fertility expenses\n\n\n\n\n\n* Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally\n\n* Parental Leave\n\n\n* 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.\n\n\n\n\n\n\n\n💛  EOE\n\nWhatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python and Finance jobs that are similar:\n\n $70,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

\nWe are tackling a growing $30B+ market, fueled by the global demand for automation, and we’re assembling a world-class team to help us get there. We're looking for a Technical Support Engineer who is passionate about customer experience and enjoys working with Python and SQL. You’ll work closely with our Customer Success, Customer Support, and Engineering teams to troubleshoot complex technical issues our customers are experiencing and optimize our processes. We're looking for someone with a growth mindset who wants to help us solve the world's hardest problems through Artificial Intelligence. \n\nWhat You'll Be Doing (Responsibilities):\n\n\nBecome an expert on the Forethought AI platform and related solutions - serve as key point of contact for clients after the product implementation phase\n\nContinuously acquire deep product knowledge and learn new technologies\n\nTroubleshoot and resolve technical and business questions related to general product knowledge, implementation, training, software configuration, individual user issues and other Forethought related questions, while meeting our SLA’s and quality goals\n\nAssist with product maintenance requests such as machine learning model improvements and adjustments \n\nCommunicate with customers in the support portal or video conferencing sessions, clearly explaining solutions and providing advice on specific capabilities of the Forethought platform\n\nCollaborate with product and engineering teams to report issues/bugs, prioritize fixes, develop solutions for our customer’s challenges, and share technical support trends\n\nParticipate in a rotating on-call schedule for emergency technical support assistance\n\nAssist in enhancing our knowledge base and help center content based on customer support trends\n\nCollaborate with CX to help provide support trends/insights for QBRs\n\n\n\n\nWho You Are (Skills):\n\n\n2-5 years of experience \n\nStrong analytical and troubleshooting skills, familiar with common monitoring and logging systems (Kibana and Sentry.io preferred)\n\nStrong verbal and written communication, including active listening, conflict resolution & customer empathy\n\nSkilled in technical writing, have experience contributing to knowledge bases or product documentation\n\nStrong understanding of databases (Elasticsearch and SQL familiarity preferred) and experience leveraging BI/analytics tool sets (Looker preferred)\n\nYou’re able to collect, analyze, and make business recommendations with data\n\nProficiency with python, bash, javascript, or other programming languages\n\nExperience utilizing and troubleshooting API's. Comfortable interpreting and leveraging API documentation \n\nExperience working in Zendesk (preferred) and/or Salesforce. You’re able to keep track of the many different cases you’re handling and you provide frequent updates to customers.\n\nUnderstanding of machine learning fundamentals\n\nEnjoy having autonomy while actively seeking out your team for advice and solutions where needed\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, API and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nToronto, Ontario, Canada

\nHere at Volume, we work with the best partners to make decentralized finance protocols valuable. We solve problems of protocol utility, governance, and growth for the leading DeFi protocols. From our team effort, we are able to drive massive growth of user transactions and the launch of the protocol economy. If a protocol fails to attract user activity, token value falters and innovation will flow away from the network. \n\n\nVolume delivers software tools and user experiences that increase protocol token utility and community engagement, measured by protocol transaction volume growth. The Volume team’s interests are the protocol interests: Growth of user transactions.\n\n\nVolume's investors include Curve, Solana, SimplyVC, and many others.\n\n\nWe are always looking for individuals who desire a high-impact, high-visibility role within a company that is making crypto and decentralized protocols valuable. \n\n\nAs Senior Back-End Engineer, you will be responsible for the backend infrastructure, performance, stability, and scaling of user-facing dApps. You will work closely with smart contract, protocol, and frontend engineers as well as DeFi strategists and will be bridging the constraints posed by web-scale applications and blockchain technology. As an early employee you will be a critical part of our core team and significantly influence the company's direction.\n\n\n\nResponsibilities\n* Build services critical to our dApps using Javascript or Python.\n* Write production-ready scripts based on requirements and draft scripts in Javascript or Python.\n* Add new functionality to Volume’s Python and Javascript SDKs. \n* Maintain the backend infrastructure for Volume’s Defi dApps and Bots. \n* Maintain services and scripts for the marketing team infrastructure with Mixpanel, Storyblock, and Discourse.\n* Write high-quality, reusable, and well-tested code in order to meet our company goals.\n* Demonstrate security and secret management across numerous services. \n\n\n\nRequirements\n* Excellent JavaScript skills \n* Excellent Python skills\n* Good Rust skills\n* Proficient knowledge of Go \n* Degree in Computer Science\n* Experience with Node.js, Docker, DBMS technology including postgresSQL and SQLlite and caching mechanisms such as Redis, Memcache  \n* Familiarity with blockchain governance or enthusiasm to learn.\n* Team player and are comfortable reviewing others' code and implementing feedback from others on your work.  \n* Exceptional communication skills. \n* Comfortable with asynchronous written communication, synchronous video calls, pair programming, etc.  \n\n\n\n\n$175,000 - $250,000 a year\n\nAbout Volume:\n\n\nVolume is a dynamic start-up company, and our successful candidate must have the ability and desire to work in a fast-paced environment. As a distributed team, we hire anywhere in the world, and at various levels of experience (entry, senior, staff). We look for people with unique perspectives and diverse backgrounds.\n\n\nVolume is an equal opportunity employer committed to a diverse workplace. All applicants will be considered equally without regard to race, color, ethnicity, veteran status, religion, national origin, marital status, political affiliation, age, sex, sexual orientation, gender identity, disability status, membership in an organization, or any other non-merit factors.\n\n\nWe sponsor H1B visa professionals. We have a great benefits package, including parental leave, contributions to your retirement, competitive pay, and unlimited time off. For U.S.-based employees, we also provide platinum-level health, dental, and vision coverage for you and your family. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Crypto, Python, JavaScript, Finance, Senior, Marketing, Engineer and Backend jobs that are similar:\n\n $70,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote Global

\nOver the past year we have built a next-generation multi-cell architecture and we are looking for a Senior Software Engineer ll to join the team and help add capabilities and migrate customers to the new deployments.\n\nThe cell-based architecture is a large-scale, worldwide distributed system, and this team has an outsize impact on every customer of dbt Labs. Today we serve some of the largest data-driven organizations in the world, enabling them to make decisions based on the knowledge at the core of their business. The quality, reliability, and performance our multi-cell implementation equates to leverage for analysts, analytics engineers, and data engineers in organizations of all shapes and sizes.\nIn this role, you can expect to:\n\n\n* Build cell-based application architecture that reliably and performantly delivers dbt Cloud to customers worldwide. You will work on a variety of technologies and features including our regional service layer, enabling self-service accounts across regions, cell migrations and product security.\n\n* Collaborate with multiple engineering teams, Product Management, Security, and Customer Support.\n\n* Work with a variety of programming languages, systems, and technologies, including: Golang, Python,+++ Postgres, Kubernetes, Terraform, Auth0, and Datadog.\n\n* Drive scaling and automation initiatives.\n\n* Define tradeoffs and make decisions about what, how, and when we build. We are a fast-moving startup and building the right platform at the place where application and infrastructure meet unlocks reliability, quality, and productivity for the long term.\n\n\n\nQualifications:\n\n\n* Have 7+ years experience in software engineering, including production experience supporting SaaS applications.\n\n* Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.) OR\n\n* Completed enrollment in engineering related bootcamp.\n\n\n\nYou are a good fit if you:\n\n\n* Have implemented large-scale distributed systems and have a deep interest in application performance, scalability, reliability, and operability.\n\n* Have designed and built cloud applications that include containerized workloads, Python or Golang, and at least some of our technology stack. You don’t need to be experienced with every technology we use today.\n\n* Have a systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.\n\n* Ensure high programming standards in your team by writing unit, functional, and integration tests and participating in timely, constructive code review.\n\n* Comfortable operating in fast paced environment the emphasizes making small changes to rapidly iterate, learn and deliver.\n\n* You are interested in our mission and values. You are inspired to drive progress in the data and analytics ecosystem.\n\n\n\nYou'll have an edge if you:\n\n\n* Have excellent written communication skills. We are a remote-first company that uses writing to facilitate decision-making.\n\n* Have experience with technical leadership.\n\n\n\nCompensation and Benefits:\n\n\n* Salary: $180,000-$235,000 USD\n\n* Equity Stake*\n\n* Benefits - dbt Labs offers:\n\n\n* Unlimited vacation (and yes we use it!)\n\n* 401k w/3% guaranteed contribution\n\n* Excellent healthcare\n\n* Paid Parental Leave\n\n* Wellness stipend\n\n* Home office stipend, and more!\n\n\n\n\n\n\n\n\nWhat to expect in the hiring process (all video interviews unless accommodations are needed):\n\n\n* Interview with a Talent Acquisition Partner \n\n* Technical Interview with Hiring Manager\n\n* Team Interviews \n\n* Final interview with leadership team member\n\n\n\n\n#LI-RC1\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to SaaS, Python, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nThe role\n\nWe are seeking a driven and ambitious Data Analyst to join our growing Data Analytics team, based in Berlin. Our team provides support across all teams like Product, Sales and Operations by developing insights and enabling analytical and automated decision making. We build strong partnerships with key stakeholders and work on challenges such as defining, implementing and tracking company-wide metrics, and leading initiatives to improve them\n\nZenjob is on the mission to become the digital staffing platform delivering companies best staffing experience with the highest flexibility and reliability, and workers the best choice and fair pay for side jobs. Our service is available in over 39 cities in Germany. Our growth financing round of $50 million (€45 million) from February 2022 is helping us to scale our platform and add new data-based automation features for our rapidly growing customer base.\n\nWhat you’ll be doing\n\nRequirements gathering\n\n\n* Collaborate with stakeholders to understand and define data analytical requirements that will help driving business initiatives\n\n* Define KPIs, success and health metrics in the context of product and business initiatives\n\n\n\n\nData collection and preparation:\n\n\n* Identify relevant data sources and work with data engineers and tracking experts to source the right data into the analytics environment\n\n* Prepare data to make it suitable for the analysis in context\n\n\n\n\nData exploration and analysis:\n\n\n* Conduct exploratory data analysis to uncover patterns, trends, and insights\n\n* Utilize statistical methods to extract actionable information from data\n\n* Develop and maintain core data models to support business analysts\n\n\n\n\nExperimentation\n\n\n* Support stakeholders during the hypothesis formulation and validation phase\n\n* With the collaboration of the data science and engineering teams, design and implement experiments around upcoming product features \n\n\n\n\nVisualization and reporting\n\n\n* Design and create effective data visualizations to communicate insights and trends\n\n* Hands-on experience with traditional BI tools (Tableau, Metabase) and, ideally, product analytics tools (Indicative) as well\n\n\n\n\nCommunication and collaboration\n\n\n* Communicate findings and recommendations to both technical and nontechnical audiences\n\n* Collaborate with cross-functional teams, including business analysts, data engineers, and product managers and decision makers\n\n* Provide training and support to end users for interpreting and using data visualizations in a self-service manner effectively \n\n\n\n\nWhat you’ll bring \n\n\n* 5-+ years of relevant experience interpreting data as an analyst or equivalent\n\n* High proficiency in querying and modeling data using Python and SQL\n\n* Ability to translate a business question into an analytical requirement considering its context: what the business is trying to achieve, the processes around it, the systems that interact and the data points available\n\n* Analyze the results of A/B-test experiments and derive conclusions or new hypothesis the business can follow up on\n\n* Great communication skills in stakeholder management from diverse backgrounds\n\n* Great communication skills in storytelling capable of creating a consistent narrative that gives meaning to the numbers\n\n* Extensive experience using different data visualization and reporting tools\n\n* Experience on analytics engineering using dbt is highly desirable\n\n* Plus: experience with experimentation platforms (eg. ABSmartly, Optimizely) and product analytical tools (eg. Indicative, Amplitude)\n\n\n\n\nWhat we offer:\n\n\n* A supportive, open, and fun team that will have your back from day 1. \n\n* Twenty-eight days of vacation (increases based on tenure to up to 30 days), 1-day special leave paid for charity work, five days of paid educational leave, and the option of unpaid leave. \n\n* Hybrid work setup combining office & remote work (3 days from office, 2 days home), flexible working hours, bring your dog policy. \n\n* Ongoing focus on your personal development (annual development budget of EUR 750, mentoring opportunities, continuous career conversations)\n\n* Mental Health support via Likeminded\n\n* Monthly 30 EUR subsidy on Urban Sports Club, 25% discount on FitX gym membership\n\n* Monthly 40 EUR credit for NAVIT- a sustainable mobility solution spanning public transport bike-sharing. \n\n* Tax-free meal allowance (saving EUR ~50 net per month!)\n\n* Quarterly team get togethers, budget for employees birthdays, winter & summer parties plus regular cultural talks & events\n\n\n\n\nIf this sounds exciting to you, then we'd love to find out more about you! Apply and send in your application.\n\nLife at Zenjob revolves around innovation, collaboration, and growth. Check out our video for a glimpse into what it's like to be part of our team: Link to Video 🎥\n\nWe invite you to explore our Career Page, follow our LinkedIn page, and connect with us on Instagram.\n\nWe are proud to be an equal opportunities employer. We are committed to assessing every qualified person according to their skills, regardless of age, gender identity, ethnicity, sexual orientation, disability status or religion. It is not necessary to include your photo and age with your application. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Video and Sales jobs that are similar:\n\n $52,500 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBerlin, Berlin, Germany

\nBiobot, a leader in wastewater-based epidemiology, is seeking a new team member for the Data Science Team. As a Quantitative Epidemiologist, you will identify and tackle the most important analytical problems and questions arising from wastewater data, with an emphasis on how we transform this novel stream of information into actionable insights that can be used to improve human health. Ideal candidates will have experience using advanced analytical methodologies to develop epidemiological models, implementing these models reliably in a production environment, and deploying them using one or more modern cloud compute frameworks.\n\n\n\nEssential Duties and Responsibilities (What you will be doing): \n* Work with our Product team and customers to identify the most important analytical problems in substance use and infectious disease wastewater based epidemiology.\n* Propose and scope multiple candidate approaches to solve these problems including the application of both existing epidemiology methods and novel alternatives.\n* Rank these candidates and choose an approach considering not only the primary question to be answered, but also model complexity, interpretation, and scalability.\n* Rapidly prototype and share your work with the broader Data Science group and Product organization soliciting feedback and building team-wide conviction about results and their implications.  You will also be expected to provide constructive feedback to others.\n* Manage your code in Gitlab and create detailed documentation of both code and results.\n* Collaborate closely with our Software Engineering team to create a final production version of any feature chosen for launch and deploy it within our preferred compute framework (AWS, Snowflake, Snowpark, dbt).\n* Partner with our Product and Marketing teams to create customer facing technical documentation and product collateral.\n* Occasionally participate in calls with customers requiring more technical support.\n* Collaborate effectively with scientists and non-scientists, inside and outside the Data Science group and share your specific skills and expertise with the team.\n* Work independently and prioritize among multiple important tasks.\n* Be a flexible team player prioritizing company success.\n\n\n\nEducation and/or Work Experience Requirements (What you need to succeed): \n* PhD, or comparable combination of education and experience, in Epidemiology, Health Sciences, Data Science, Biostatistics, Bioengineering, or a related field\n* 5+ years experience developing advanced analytical models to solve problems in Epidemiology, Public Health, or a related space\n* Strong preference for candidates with recent tech/biotech industry experience developing and delivering data- or analytics-based products\n* Expertise in statistical, analytical, and data science methods, including advanced regression, bootstrapping, nonparametric statistics, simulation, Frequentist or Bayesian modeling, and compartmental or agent-based modeling\n* Mastery of Python including advanced analytical libraries/tools (e.g. NumPy, Matplotlib, pandas, scikit learn, PyTorch)\n* Proficiency in modern software development tools, patterns and concepts including version control (git), cloud computing (AWS), CI/CD, test-driven development, containerization and model deployment\n* Willingness to develop deeper expertise in both Infectious Disease Epidemiology and Substance Use Epidemiology\n* Willingness to share your technical expertise with your colleagues to support their success\n* Ability to communicate the health and business implications of complex features and one-off analyses to non-scientific audiences\n\n\n\nEducation and/or Work Experience Bonuses (What will help you succeed): \n* Experience with R\n* Expertise in Infectious Disease Epidemiology or Substance Use Epidemiology\n* Expertise in addressing bias and confounding in epidemiological analyses\n* Experience with our assay platforms -- qPCR, ddPCR, LCMS, NGS\n* Expertise in Public Health, such as work experience in state or local DPHs\n* Experience in Environmental Health or wastewater systems\n* Interest in mentoring or managing other data scientists\n\n\n\nPhysical Requirements and Special Demands: \n* Standing or sitting for several hours at a time\n* Listening and speaking clearly on video conferencing for several hours a day\n\n\n\n\n\nCompensation Information: \nWe welcome applications from a diverse range of candidates, spanning from Senior Data Scientist to Staff Data Scientist levels.   Compensation will be determined based on the candidate's experience, skills, and qualifications. \n\n\nThe salary range for this position varies based on level, with the Senior Data Scientist band ranging from $115,000 - $140,000 and the Staff Data Scientist band ranging from $140,000 - $170,000, depending on prior work experience. These ranges represent the low and high end of the anticipated base salary range for this position.\n\n\nActual base salary will depend on numerous factors such as: total experience, applicable knowledge and relevant skills. Final salary will be commensurate with the candidate’s leveling upon offer.\n\n\nPlease see below for more information about Biobot, including our benefits overview, company background, and employment eligibility requirements. \n \nEmployment Eligibility\nWe are unable to sponsor work visas at this time. \nAdditionally, we are currently only accepting applicants from the states listed below. You will be asked to confirm your location in your application to help us determine your eligibility for this position. \nAlabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Louisiana, Massachusetts, Maryland, Michigan, Minnesota, Missouri, North Carolina, New Hampshire, New York, New Jersey, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Washington, Wisconsin\n\n\nOur Benefits\n\n\nHealth Coverage \nFree medical, dental, and vision insurance for employees and their families, including a $0 deductible medical plan. We want our employees to manage their health and that of their families without worrying about high premiums or deductibles.\n\n\nSelf Care\nUnlimited PTO with 3 week minimum. Whether it's playing MTG or D&D, singing on stage, camping, raising chickens, or anything else that inspires, we want our employees to unplug and explore their passions.\n\n\nBiobabies\n12 weeks parental leave at 100% pay. We love Biobabies and know that bonding with a new child is a critical need for employees and Biobabies alike.\n\n\nSavings\n3% Biobot 401k contribution. Regardless of whether our employees contribute, we contribute 3% of salaries into participating employees' 401k accounts because we want to support their long-term financial goals.\n\n\nWorkspace\nOnsite or at home, we ensure our employees' workspace is set up for success through generous home office stipend for remote employees, free parking or commuter benefits and on-site meals for lab employees.\n\n\n\n\nAbout Biobot \n\n\nAt Biobot, we are working together to build a team environment in which everyone can thrive and is proud to belong. We are an equal opportunity employer and our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from candidates of all identities and backgrounds, including those who are traditionally underrepresented in technology startups.\n\n\nOur mission is to transform wastewater infrastructure into public health observatories. \n\n\nNamed as one of Fast Company’s most innovative companies in the world in 2021, Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure biomarkers in sewage to better understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and in 2020 launched a Covid19 product to estimate the scope and trend of the outbreak in communities. We have operated in almost 500 communities across 43 U.S. states, generating Covid19 case estimates for over 13% of the U.S. population.\n\n\nBattling the opioid epidemic and now the Covid19 pandemic is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot data will be an early warning system for disease outbreaks, a map of nutrition disparities, and more. Headquartered in the Boston area with an office in NYC, we aim to create the bedrock of human health infrastructure and smart cities in countries across all six continents.\n \nPlease visit our website at www.biobot.io \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Video, Education, Cloud, Senior and Marketing jobs that are similar:\n\n $52,500 — $85,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote

\nOur mission is to increase the success rate of small businesses. Traditional banking has been a growth limiter rather than a growth enabler for business owners, and we’re changing that. Relay is the all-in-one, collaborative money management platform. We’re building for employer SMBs and their finance function, internal and external, and are focused on delivering a human-centric customer experience. Ultimately, we help SMBs be ‘on the money'.\n\n\nWe’re looking for an incredible Senior Site Reliability Engineer to join our Trust team. Your love of making high-impact decisions daily and desire to help shape the future of Relay is going to be crucial. The team’s vision is “Protecting the cathedral while enabling the bazaar” - quite a challenge in the scope of our multiple environments.\n\n\n*Please note that we will only consider applicants that are based in the Eastern Time zone. For those based in the Greater Toronto Area, we have a hybrid work environment and choose to collaborate in the Toronto office twice a week.\n\n\n\nWhat You'll Be Doing:\n* Join the team owning our production infrastructures (AWS, Kubernetes, PostgreSQL databases, Terraform, Terragrunt)\n* Review infrastructure change requests, and triage & fix high-risk security and privacy issues in infrastructure components\n* Write playbooks, and run game days and threat modelling\n* Build monitoring systems to dynamically assess the infrastructure health\n* Improve our data repositories (db, warehouse, lake) posture: engine upgrade, zero-downtime migrations, privacy taggings\n* Provide guidance and mentoring for the rest of the team and help evolve Relay into a world-class security-oriented organization\n* Participate in the on-call rotation\n\n\n\nWho You Are:\n* You have 5+ years of experience working in a DevOps or SRE role\n* You have experience as an SRE working with these technologies: AWS, Datadog, Github, GHA, k8s, etc.\n* You have experience as a DBA (Aurora RDS, PostgreSQL, DynamoDB, ElastiCache)\n* You have experience with Terraform, Terragrunt, Node.js, Typescript\n* You have a strong security and operation focus; we are looking for someone to help us continue building security into every aspect of our work - and is ready to be on-call for production issues\n* You are a team player - our team is small and mighty, and we collaborate constantly - we want someone who is always willing to pitch in and isn’t afraid to ask for help\n* You are curious. You keep yourself on the bleeding edge of infrastructure best practices. \n\n\n\nBonus Points:\n* Show us your home lab! We have Ubiquity gears everywhere and we like to geek-out on our k8s clusters that control in-house experience\n* Send us your HackerOne account id - Security permeates everything we are doing\n* You’ve joined a company at its early stages and have seen it through scale\n* You have experience working in a fintech startup\n\n\n\nOur SRE Tech Stack:\n* Container Orchestration: Kubernetes, ArgoCD, ECS\n* Cloud Platform: AWS (DynamoDB, RDS Postgres, Lambda, S3, SQS, SNS, SES, ElasticSearch, ECS, EKS, AND MORE)\n* Monitoring: Datadog\n* Relevant Languages: Javascript/Typescript, GoLang, Python \n* IAC: Terraform/Terragrunt\n* Tools: Github, GHA, Cloudflare\n\n\n\nOur Commitment To You:\n* Competitive salary and meaningful equity: every team member gets a piece of the pie.\n* Comprehensive health benefits: we offer full health benefits + an HSA/WSA starting from day 1 so you get the coverage you need.\n* Considerable vacation/end-of-year holiday shutdown: we take time off to reset and recharge so we come back better for our customers.\n* Hybrid work environment: we love collaborating and connecting in the office two times a week and offer catered lunches and a snack/beverage program for the days we’re in office. Don’t forget to bring in your furry friends!\n* Personal and professional growth: support from leaders who care about your growth and success through regular feedback and coaching. Our goal is to make Relay a step-change career opportunity.\n* Top-tier equipment: we’ll make sure you have everything you need to produce your best work.\n* Team-first culture: we’re passionate about working collaboratively, bonding through team events, and most importantly having fun.\n\n\n\nThe Interview Process:\n* Stage 1: A 30-minute Google Meets video call with a member of the Talent Team\n* Stage 2: A 45-minute Google Meets video call with the SRE Lead\n* Stage 3: A 60-minute case study presentation with members of the Trust team\n* Stage 4: A 30-minute Google Meets video call with the Head of Engineering and Co-Founder\n\n\n\n\n\nResearch shows that women-identifying and other marginalized individuals tend to only apply when they meet 100% of the qualifications; if you don't have all the listed qualifications, we encourage you to apply anyway!\n\n\nWhat’s Important to Us:\nAt Relay, we believe that diversity is key to building high-performing teams, and creating an inclusive work environment is our priority. We are an equal-opportunity employer and we welcome people of diverse backgrounds, perspectives, and skills. \n\n\nWe will work with applicants to provide accommodations at any stage of the hiring process. If you require accommodations during the interview process, please email your People Team contact, and we will work with you to meet your needs. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Finance, Video, Senior and Engineer jobs that are similar:\n\n $55,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nOntario

\n\nWho We Are\n\nFounded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, and HB Studios. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.\n\nOur team of engineers, marketers, artists, writers, data scientists, producers, problem solvers and doers, are the professional publishing stewards of our growing library of critically-acclaimed franchises such as NBA 2K, Battleborn, BioShock, Borderlands, The Darkness, Mafia, Sid Meier’s Civilization, WWE 2K, and XCOM.\n\nAt 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We are dedicated to diversity and inclusion, and want our community of candidates to reflect this commitment. We encourage all qualified applicants to explore our global positions.\n\n2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO).\nWhat We Need:\n\nWe are seeking a senior data analyst who will enable the game Studio behind one of our top titles to confidently make data driven decisions. The ideal candidate will be responsible for delivering data tools, telemetry, dashboards and compelling insights to influence game development and growth. You will be someone who has a good balance of business thinking alongside analytical and technical skills.\nWhat You Will Do:\n\nReporting directly to the Senior Director of Mobile Analytics, you will be responsible for: \n\n\n* Business Insight: Understand the problems our Studios and partners want to solve for, and then define the right data, metrics, analysis and interpretation to lead to the right recommendations and decisions\n\n* Understand players: Help us to further understand, model, predict, segment and retain our players and enable our Studios to launch new titles, develop features, \n\n* and live ops events. \n\n* ETL pipeline: Owning ETL pipeline for one of our top titles by partnering closely with data engineering\n\n* Telemetry design: Collaborating with our studio developers and designing in-game telemetry to measure player behavior\n\n* Being the technical data expert in communications with stakeholders and providing regular game health updates to stakeholders as well as leadership teams.\n\n* Creating and maintaining reporting dashboards: overseeing data quality, amalgamate data from multiple sources for creating and tracking key KPIs.\n\n\n\nWhat Will Make You a Great Fit\n\n\n* 4+ years of work experience in data science or analytics role\n\n* SQL: The ability to write complex SQL queries to analyze our databases with millions of players and work with relational database systems.\n\n* Familiar with querying in Snowflake, Redshift, Postgres etc.\n\n* Analytical coding: Fluency in programming via languages such as Python or R\n\n* Visualization: Adept in at least one visualization tool such as Tableau or Looker\n\n* Tech skill: Proven experience with some or all of the following: statistics, experimental design, machine learning, predictive modeling, deep learning\n\n* Ability to work effectively in a fast-paced environment, with different functions with changing priorities\n\n* Ability to collaborate effectively with product managers, game designers, game engineers, marketing and other analysts to deliver unambiguous business impact\n\n* Excellent attention to detail, natural curiosity, and ability to problem-solve creatively\n\n* Great communication and presentation skills to be able to converse with both technical and non-technical audiences.\n\n* Self starter- proactively dive deep into the data, develop analytical hypotheses and come up with actionable insights for improving the product. \n\n\n\nBonus Points\n\n\n* Consistent track record in data challenges in similar roles, preferably within mobile gaming or similarly customer- facing digital businesses\n\n* Familiarity with telemetry/analytics SaaS tools (e.g., Mixpanel, Amplitude)\n\n* Familiarity with massive data sets and tools to deal with them (E.g. Snowflake, Databricks, AWS)\n\n* Experience in behavioral psychology/economics and experimental design\n\n* Knowledge and love for the NBA and WWE franchises preferred\n\n* Passion for mobile games\n\n\n\n\nAs an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.\n\nPlease note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.\n#LI-Remote\nThis is a fully remote role that may be based anywhere in the United States. The pay range for this position for applicants based in Colorado at the start of employment is expected to be between $98,000 and $140,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.   Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits.  Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to SaaS, Python, Video, Cloud, Mobile, Senior and Marketing jobs that are similar:\n\n $55,000 — $95,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n