\nAbout Nava\nNava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges.\n\n\nAs a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services.\n\n\nPeople are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good.\n\n\nPosition summary \nYou will work on small teams to build scalable infrastructure for our government -- designing, implementing, and delivering services that millions of Americans depend on. You care deeply about working on technology that improves people’s lives, but don’t think technology is always the answer. You are passionate about building large-scale systems that are inclusive, well-designed, fast, scalable, and secure, and you'll help set high standards for our teams in terms of simplicity, empathy, and accessibility.\n\n\n\n\nThe full stack engineer in this role will be responsible for developing end to end systems for one of Nava’s major government partners. This is an opportunity to create a more secure and equitable experience for the public.  The team will be extending the client’s existing codebase using mainly DevOps, Javascript, and Python to build widely relied upon services by millions of people nationwide.\n\n\n\nWhat you'll do\n* Working with fellow Nava engineers to design, review, and build well-crafted software.\n* Collaborating with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems.\n* Working in an agile manner to efficiently ship new features that meet user needs.\n* Creating tools and processes to automate our development, testing, and production workflows.\n* Writing and reviewing technical documentation, and performing code reviews.\n* Participating in an on-call rotation to support production systems and investigate issues when they occur.\n* Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed.\n\n\n\nRequired skills\n* At least 6 years of hands-on professional work experience building web applications and creating APIs\n* Experience with backend & DevOps skills, Java Spring, Kubernetes, and SQL/RDS,\n* Understanding of web and mobile user interface design best practices\n* Should be comfortable working in a fast-paced, dynamic environment in a self-directed manner that requires minimal supervision\n* Familiarity with web accessibility standards to deliver services that are not just minimally accessible, but a simple and intuitive experience for all users, including those who rely on assistive technologies\n* Strong communication and cross-functional collaboration skills\n* Equal parts systems thinker and advocate for users\n* Highly resourceful, reliable, and detail-oriented\n* Ability to think strategically around trade-offs and short-term vs. long-term benefits\n* An adaptive, empathetic, collaborative, and positive mindset\n* Excellent written and real-time communication. technical and otherwise\n\n\n\n\n\n$135,900 - $171,000 a year\n\nOther requirements\nAll roles at Nava require the following: \nMust be legally authorized to work in the United States.\nMust meet any other requirements for government contracts for which candidates are hired.\nWork authorization that doesn’t require visa sponsorship, now or in the future.\nMay be subject to a government background check or security clearance, depending on the contract.\n\n\nPerks working with Nava\nHealth coverage – Comprehensive medical, dental, and vision plans to support your overall health needs.\nTime off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge.\nCompany holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO.\nAnnual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus.\nParental leave – Paid time off for new parents, plus weekly meals delivered to your home.\nWellness program – Full platform offering physical, mental, & emotional health resources & support tools.\nVirtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program.\nSabbatical leave – Earn extended paid leave after continuous service for personal growth or rest.\n401(k) match – Nava matches 4% of your salary to support your retirement savings plan.\nFlexible work – Remote-first environment with flexibility built around your schedule and responsibilities.\nHome office setup – Company laptop & setup assistance provided via Staples for remote work needs.\nUtility support – Monthly reimbursement to help offset eligible home office utility expenses.\nLearning opportunities – Internal training programs and resources to help grow your professional skills.\nDevelopment budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access.\nReferral bonus – Get rewarded when you refer great people who join the Nava team.\nCommuter benefits – Pre-tax commuter programs to support in-office travel when applicable.\nInsurance coverage – Nava provides disability, life, and accidental death insurance at no cost.\nSupportive culture – A collaborative and remote-friendly team environment where people genuinely care.\n\n\nLocation\nWe have fully remote options if you reside in one of the following states: \n\n\nAlabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. \n\n\n*If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country.\n\n\nStay in touch\nSign up for our newsletter to find out about career opportunities, new partnerships, and news from the broader civic tech community. \n\n\nPlease contact the recruiting team at [email protected] if you would like to request reasonable accommodation during the application or interviewing process.  \n\n\nWe participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Travel, DevOps, Java, Cloud, Mobile, Senior, Engineer and Backend jobs that are similar:\n\n $62,500 — $92,500/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

\nDo you want to work for a mission-driven non-profit, writing software that will contribute to helping the livelihoods of millions of coffee farmers around the world? Enveritas is a 501(c)3 non-profit and Y Combinator-backed startup looking to hire for our Engineering & Data Group. You can learn more about this job and about our Backend and Data Engineering Team at https://www.enveritas.org/jobs/backend-software-eng/\n\nWe are looking for two backend software engineers with a focus on python and PostgreSQL to join us on a remote/global, full-time basis. Our Backend and Data Engineering Team is a four-person team (soon to be six!) and is part of our Engineering & Data Group — a quirky, talented, and humble group of about twenty with diverse backgrounds ranging from journalism to academia to international industry.\n\nAbout Our Backend & Data Engineering Team\n\nThe Backend & Data Engineering Team builds software to collect, analyze, and report data about coffee farmers’ conditions and practices. This large-scale data-collection effort requires many moving parts to work together, and we use technology to support that effort at every step of the process — from identifying coffee farms in satellite imagery, to coordinating survey edits across country teams, to detecting data anomalies in real-time that can be investigated while teams are still in the field. A core part of our work is in data aggregation and report generation, with insights ultimately being shared with roasters and other stakeholders on how to assist in improving the social, economic, and environmental conditions of smallholder farmers. \n\nOur backend services primarily use a Python/PostgreSQL stack running on Linux. We use git and Github for maintaining our code, CircleCI for CI/CD, and AWS for hosting our services and static resources, with containerization where appropriate for development and deployment.\n\nWhat You’ll Be Doing\n\nYou will contribute to major feature planning and development, both independently and in collaboration with your teammates.\n\n\n* Implement new features on our core platforms, Jebena and Sini. You’ll participate in long-term planning and product roadmaps, collaborate with product managers on writing specs for the team to implement, and develop features from specs. You should be comfortable collaborating with non-Engineering teams to understand their feature needs. A lion’s share of your time will be spent working with Python and PostgreSQL to add features to our internal platforms.\n\n* Maintenance and enhancements of existing code. You’ll work with other engineers to triage and resolve incoming issues (we use Sentry).\n\n* Manage AWS services. In tandem with our Head of IT, a part of this role includes helping manage our AWS account, including reviewing our CI/CD setup and proposing ways to further automate and secure our setup, including expanding our usage of Terraform.\n\n\n\n\nQualifications\n\n\n* Strong grasp of design patterns for building software that is well-encapsulated, performant, and elegant.\n\n* Extensive experience with Python and PostgreSQL, and creating well-designed data models.\n\n* Minimum of five years of full time professional experience as a backend software engineer.\n\n* Familiarity with Linux, bash, docker containers, AWS services (EC2, RDS, CloudFront), and CI/CD setups.\n\n* A degree in computer science, or equivalent training in the principles of software engineering.\n\n* Excellent communication and analytical skills.\n\n\n\n\nResearch shows that people of different backgrounds read job postings differently. If you don’t think you meet all of the qualifications but do think you’d be a great match for us, please consider applying and sharing more in your cover letter. We’d love to talk with you to see what skills you can bring to our team.\n\nWho You Are\n\nOur team is fully distributed, so you should be comfortable with remote work. This role is a full-time individual contributor role. While you can be located anywhere that our EOR (Deel) supports, our core hours are 10am to 2pm Eastern Time, Monday through Friday, with team members choosing either an early start or later stop as suits them.\n\nYou should be inspired by our mission to improve the lives of smallholder coffee farmers, and have an interest in sustainability. You should have a deep empathy for users of our tools and understand the importance of supporting the work of other teams. Because operational and business needs can be ambiguous and change on a short time-scale, you should have a love for environments with uncertainty, and enjoy not only solving problems, but discovering and demystifying them.\n\nWe are a small team! You should be comfortable working both independently and as a thoughtful collaborator, sensitive to the legibility and maintainability of your code when in the hands of your teammates.\n\nAbout Working With Us & Compensation\n\nEnveritas has teams around the world: we are about 100 people spread over more than two dozen countries, and of all backgrounds, faiths, and identities. To learn more about working at Enveritas, see https://www.enveritas.org/jobs/\n\nFor a US-Based hire, base salary for this position will be between $130,000 and $150,000 annually (paid semi-monthly). This is a full-time exempt position. Full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 13 standard holidays, and personal/sick time.\n\nFor a hire outside the US, our offer will be competitive; the specific benefits and compensation details will vary as required to account for your region’s laws and requirements. Salary for this position will be paid in relevant local currency.\n\nFor all staff, we are able to offer:\n\n\n* Annual all-company retreat and annual group retreat.\n\n* Annual education budget for conferences, books, and other professional development opportunities.\n\n* Field visits to our Country Ops teams in coffee-growing countries such as Colombia, Costa Rica, Ethiopia, and Indonesia.\n\n\n\n\nInterview Process\n\nWe are committed to fair and equitable hiring. To honor this commitment, we are being transparent about our interview process. We are interested in learning what working with you would be like and believe the below is the fairest method for us to see you at your best — and for you to learn about us! If you feel that a different method would be better for us to learn what working together would be like, please tell us in your application. \n\nAfter your introductory interview, we expect your interview process to take four to six weeks (but will depend on scheduling), and consist of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews.  See the hiring page at https://www.enveritas.org/jobs/backend-software-eng/ for details about each of these interviews.\n\n\n* Introductory Interview (30 minutes; Google Meet; audio-only)\n\n* First Technical Interview (60 minutes; Google Meet)\n\n* Second Technical Interview (60-90 minutes; Google Meet)\n\n* Manager Interview (45-60 minutes; Google Meet)\n\n\n\n\nHow to Apply\n\nPlease apply using our Greenhouse application form. Feel free to contact us at [email protected] should you have any questions about the position or the interview process. Questions about this opportunity or process will not reflect negatively on your application.\n\nWe care deeply about diversity. Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.​\n\nA few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted under https://enveritas.org/jobs/ and all recruiting emails from Enveritas team members will come from @enveritas.org. \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, Engineer and Backend jobs that are similar:\n\n $90,000 — $122,500/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\nNew York City, New York, United States

\nDo you want to work for a mission-driven non-profit, writing software that will contribute to helping the livelihoods of millions of coffee farmers around the world? Enveritas is a 501(c)3 non-profit and Y Combinator-backed startup looking to hire for our Engineering & Data Group. You can learn more about this job and about our Backend and Data Engineering Team at https://www.enveritas.org/jobs/backend-software-eng/\n\nWe are looking for two backend software engineers with a focus on python and PostgreSQL to join us on a remote/global, full-time basis. Our Backend and Data Engineering Team is a four-person team (soon to be six!) and is part of our Engineering & Data Group — a quirky, talented, and humble group of about twenty with diverse backgrounds ranging from journalism to academia to international industry.\n\nAbout Our Backend & Data Engineering Team\n\nThe Backend & Data Engineering Team builds software to collect, analyze, and report data about coffee farmers’ conditions and practices. This large-scale data-collection effort requires many moving parts to work together, and we use technology to support that effort at every step of the process — from identifying coffee farms in satellite imagery, to coordinating survey edits across country teams, to detecting data anomalies in real-time that can be investigated while teams are still in the field. A core part of our work is in data aggregation and report generation, with insights ultimately being shared with roasters and other stakeholders on how to assist in improving the social, economic, and environmental conditions of smallholder farmers. \n\nOur backend services primarily use a Python/PostgreSQL stack running on Linux. We use git and Github for maintaining our code, CircleCI for CI/CD, and AWS for hosting our services and static resources, with containerization where appropriate for development and deployment.\n\nWhat You’ll Be Doing\n\nYou will contribute to major feature planning and development, both independently and in collaboration with your teammates.\n\n\n* Implement new features on our core platforms, Jebena and Sini. You’ll participate in long-term planning and product roadmaps, collaborate with product managers on writing specs for the team to implement, and develop features from specs. You should be comfortable collaborating with non-Engineering teams to understand their feature needs. A lion’s share of your time will be spent working with Python and PostgreSQL to add features to our internal platforms.\n\n* Maintenance and enhancements of existing code. You’ll work with other engineers to triage and resolve incoming issues (we use Sentry).\n\n* Manage AWS services. In tandem with our Head of IT, a part of this role includes helping manage our AWS account, including reviewing our CI/CD setup and proposing ways to further automate and secure our setup, including expanding our usage of Terraform.\n\n\n\n\nQualifications\n\n\n* Strong grasp of design patterns for building software that is well-encapsulated, performant, and elegant.\n\n* Extensive experience with Python and PostgreSQL, and creating well-designed data models.\n\n* Minimum of five years of full time professional experience as a backend software engineer.\n\n* Familiarity with Linux, bash, docker containers, AWS services (EC2, RDS, CloudFront), and CI/CD setups.\n\n* A degree in computer science, or equivalent training in the principles of software engineering.\n\n* Excellent communication and analytical skills.\n\n\n\n\nResearch shows that people of different backgrounds read job postings differently. If you don’t think you meet all of the qualifications but do think you’d be a great match for us, please consider applying and sharing more in your cover letter. We’d love to talk with you to see what skills you can bring to our team.\n\nWho You Are\n\nOur team is fully distributed, so you should be comfortable with remote work. This role is a full-time individual contributor role. While you can be located anywhere that our EOR (Deel) supports, our core hours are 10am to 2pm Eastern Time, Monday through Friday, with team members choosing either an early start or later stop as suits them.\n\nYou should be inspired by our mission to improve the lives of smallholder coffee farmers, and have an interest in sustainability. You should have a deep empathy for users of our tools and understand the importance of supporting the work of other teams. Because operational and business needs can be ambiguous and change on a short time-scale, you should have a love for environments with uncertainty, and enjoy not only solving problems, but discovering and demystifying them.\n\nWe are a small team! You should be comfortable working both independently and as a thoughtful collaborator, sensitive to the legibility and maintainability of your code when in the hands of your teammates.\n\nAbout Working With Us & Compensation\n\nEnveritas has teams around the world: we are about 100 people spread over more than two dozen countries, and of all backgrounds, faiths, and identities. To learn more about working at Enveritas, see https://www.enveritas.org/jobs/\n\nFor a US-Based hire, base salary for this position will be between $130,000 and $150,000 annually (paid semi-monthly). This is a full-time exempt position. Full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 13 standard holidays, and personal/sick time.\n\nFor a hire outside the US, our offer will be competitive; the specific benefits and compensation details will vary as required to account for your region’s laws and requirements. Salary for this position will be paid in relevant local currency.\n\nFor all staff, we are able to offer:\n\n\n* Annual all-company retreat and annual group retreat.\n\n* Annual education budget for conferences, books, and other professional development opportunities.\n\n* Field visits to our Country Ops teams in coffee-growing countries such as Colombia, Costa Rica, Ethiopia, and Indonesia.\n\n\n\n\nInterview Process\n\nWe are committed to fair and equitable hiring. To honor this commitment, we are being transparent about our interview process. We are interested in learning what working with you would be like and believe the below is the fairest method for us to see you at your best — and for you to learn about us! If you feel that a different method would be better for us to learn what working together would be like, please tell us in your application. \n\nAfter your introductory interview, we expect your interview process to take four to six weeks (but will depend on scheduling), and consist of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews.  See the hiring page at https://www.enveritas.org/jobs/backend-software-eng/ for details about each of these interviews.\n\n\n* Introductory Interview (30 minutes; Google Meet; audio-only)\n\n* First Technical Interview (60 minutes; Google Meet)\n\n* Second Technical Interview (60-90 minutes; Google Meet)\n\n* Manager Interview (45-60 minutes; Google Meet)\n\n\n\n\nHow to Apply\n\nPlease apply using our Greenhouse application form. Feel free to contact us at [email protected] should you have any questions about the position or the interview process. Questions about this opportunity or process will not reflect negatively on your application.\n\nWe care deeply about diversity. Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.​\n\nA few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted under https://enveritas.org/jobs/ and all recruiting emails from Enveritas team members will come from @enveritas.org. \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, Engineer and Backend jobs that are similar:\n\n $90,000 — $122,500/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\nNew York City, New York, United States

\nDo you want to work for a mission-driven non-profit, writing software that will contribute to helping the livelihoods of millions of coffee farmers around the world? Enveritas is a 501(c)3 non-profit and Y Combinator-backed startup looking to hire for our Engineering & Data Group. You can learn more about this job and about our Backend and Data Engineering Team at https://www.enveritas.org/jobs/backend-software-eng/\n\nWe are looking for two backend software engineers with a focus on python and PostgreSQL to join us on a remote/global, full-time basis. Our Backend and Data Engineering Team is a four-person team (soon to be six!) and is part of our Engineering & Data Group — a quirky, talented, and humble group of about twenty with diverse backgrounds ranging from journalism to academia to international industry.\n\nAbout Our Backend & Data Engineering Team\n\nThe Backend & Data Engineering Team builds software to collect, analyze, and report data about coffee farmers’ conditions and practices. This large-scale data-collection effort requires many moving parts to work together, and we use technology to support that effort at every step of the process — from identifying coffee farms in satellite imagery, to coordinating survey edits across country teams, to detecting data anomalies in real-time that can be investigated while teams are still in the field. A core part of our work is in data aggregation and report generation, with insights ultimately being shared with roasters and other stakeholders on how to assist in improving the social, economic, and environmental conditions of smallholder farmers. \n\nWhile our tooling varies across internal products, our backend services primarily use a Python/PostgreSQL stack running on Linux to run our GraphQL APIs. We use git and Github for maintaining our code, CircleCI for CI/CD, and AWS for hosting our services and static resources, with containerization where appropriate for development and deployment. We've begun working with Terraform.\n\nWhat You’ll Be Doing\n\nYou will contribute to major feature planning and development, both independently and in collaboration with your teammates.\n\n\n* Implement new features on our core platforms, Jebena and Sini. You’ll participate in long-term planning and product roadmaps, collaborate with product managers on writing specs for the team to implement, and develop features from specs. You should be comfortable collaborating with non-Engineering teams to understand their feature needs. A lion’s share of your time will be spent working with Python and PostgreSQL to add features to our internal platforms.\n\n* Maintenance and enhancements of existing code. You’ll work with other engineers to triage and resolve incoming issues (we use Sentry). Our team also reserves Fridays for bug-fixing, resolving technical debt, and discovering/relieving pain-points for our users.\n\n* Manage AWS services. In tandem with our Head of IT, a part of this role includes helping manage our AWS account, including reviewing our CI/CD setup and proposing ways to further automate and secure our setup, including expanding our usage of Terraform.\n\n\n\n\nQualifications\n\nRead this first: research shows that people of different backgrounds read job postings differently. If you don’t think you meet all of the qualifications but do think you’d be a great match for us, please consider applying and sharing more in your cover letter. We’d love to talk with you to see what skills you can bring to our team. This said, we are most likely to be interested in your candidacy if you can demonstrate the majority of the qualifications listed below:\n\n\n* A degree in computer science, or equivalent training in the principles of software engineering.\n\n* Strong grasp of design patterns for building software that is well-encapsulated, performant, and elegant.\n\n* Multiple years of professional experience as a backend engineer in more than one team environment, including both developing engineering specs and writing code in Python.\n\n* Extensive experience with Python and PostgreSQL, and creating well-designed data models.\n\n* Background developing applications that provide HTTP-based APIs.\n\n* Familiarity with docker containers, AWS services (EC2, RDS, CloudFront), and CI/CD setups.\n\n* Excellent communication and analytical skills.\n\n\n\n\nWho You Are\n\nOur team is fully distributed, so you should be comfortable with remote work. This role is a full-time individual contributor role. While you can be located anywhere that our EOR (Deel) supports, our core hours are 10am to 2pm Eastern Time, Monday through Friday, with team members choosing either an early start or later stop as suits them.\n\nYou should be inspired by our mission to improve the lives of smallholder coffee farmers, and have an interest in sustainability. You should have a deep empathy for users of our tools and understand the importance of supporting the work of other teams. Because operational and business needs can be ambiguous and change on a short time-scale, you should have a love for environments with uncertainty, and enjoy not only solving problems, but discovering and demystifying them.\n\nWe are a small team! You should be comfortable working both independently and as a thoughtful collaborator, sensitive to the legibility and maintainability of your code when in the hands of your teammates.\n\nAbout Working With Us & Compensation\n\nEnveritas has teams around the world: we are about 100 people spread over almost two dozen countries, and of all backgrounds, faiths, and identities. To learn more about working at Enveritas, see https://www.enveritas.org/jobs/\n\nFor a US-Based hire, base salary for this position will be between $130,000 and $150,000 annually (paid semi-monthly). This is a full-time exempt position. Full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 13 standard holidays, and personal/sick time.\n\nFor a hire outside the US, our offer will be competitive; the specific benefits and compensation details will vary as required to account for your region’s laws and requirements. Salary for this position will be paid in relevant local currency.\n\nFor all staff, we are able to offer:\n\n\n* Annual education budget for conferences, books, and other professional development opportunities.\n\n* Annual all-company retreat.\n\n* Field visits to our Country Ops teams in coffee-growing countries such as Colombia, Costa Rica, Ethiopia, and Indonesia.\n\n\n\n\nInterview Process\n\nWe are committed to fair and equitable hiring. To honor this commitment, we are being transparent about our interview process. We are interested in learning what working with you would be like and believe the below is the fairest method for us to see you at your best — and for you to learn about us! If you feel that a different method would be better for us to learn what working together would be like, please tell us in your application. \n\nAfter your introductory interview, we expect your interview process to take three to four weeks (but will depend on scheduling), and consist of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews.  See the hiring page at https://www.enveritas.org/jobs/backend-software-eng/ for details about each of these interviews, including links to our interview prompts as available.\n\n\n* Introductory Interview (30 minutes; Google Meet; audio-only)\n\n* First Technical Interview (60 minutes; Google Meet)\n\n* Second Technical Interview (60-90 minutes; Google Meet)\n\n* Manager Interview (45-60 minutes; Google Meet)\n\n\n\n\nHow to Apply\n\nPlease apply using our Greenhouse application form. Feel free to contact us at [email protected] should you have any questions about the position or the interview process. Questions about this opportunity or process will not reflect negatively on your application.\n\nWe care deeply about diversity. Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.​\n\nA few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted under https://enveritas.org/jobs/ and all recruiting emails from Enveritas team members will come from @enveritas.org. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, GraphQL, Python, Docker, Education, Git, Engineer, Linux 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

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

Who You Are\n\nWe are looking for a driven Software Engineer (MLOps) to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. 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**We are seeking a team member located within one of the following areas: USA/Canada/UK\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 an 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* Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.\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* 7+ years of work experience.\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.\n\n* Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\n\n* Strong expertise in Python and Cloud environments\n\n* 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 as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.\n\n* Experience with building applications that can be deployed in cloud, hybrid or on prem environments\n\n* Exposure to Reinforcement Learning\n\n\n\nOur Stack\n\n\n* Languages - (Backend) Python, Go; (Frontend) JavaScript/TypeScript, React; Customer SDK & Clients - C# .NET\n\n* PyTorch\n\n* Cypress\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* Gitlab CI, ArgoCD, Atlantis, Vercel\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Ray.io\n\n* REST & gRPC micro-services\n\n* Poetry, Pantsbuild\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* Initial screening interview with a People Operations team member (30 minutes): The purpose of this interview is to meet you, learn more about your background, and discuss what you are looking for in a new position.\n\n* Hiring manager interview (30 minutes): The purpose of this meeting is for you to get to know the manager for the role. This chat will mainly focus on your previous experience and technical background. You can expect to talk about projects that you have worked on in the past and ask any questions about the team & role.\n\n* Technical Interview 1 (60 minutes): The purpose of this interview is to assess your skills in Machine Learning and related mathematics.\n\n* Technical Interview 2 (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* Meeting with VP of Engineering (30 minutes): This interview is a combination of technical and cultural fit assessment. You will cover the technical experience and the skills that you brinand have an opportunity to ask any questions about the team’s culture or vision.\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values\n\n\nBase Salary\n\nUS Residents: $115,200-$208,800/year\n\nUK Residents: £96,400-£144,000/year\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. \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, Senior, Engineer and Backend jobs that are similar:\n\n $65,000 — $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\nSeattle, Washington, United States