Our Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate is a self-starter that has deep technical expertise in their domain. Position Responsibilities As a Senior Staff Engineer, you will: Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise Collaborate across team members and across the tech organization to solve our toughest problems Develop and execute technical software development strategy for a variety of domains Accountable for the quality, usability, and performance of the solutions Utilize programming languages like C#, Java, Python or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives Consistently share best practices and improve processes within and across teams Analyze cost and forecast, incorporating them into business plans Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning Qualifications Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap Experience partnering with engineering teams and transferring research to production Extensive experience in leading and building full-stack application and service development, with a strong focus on SAAS products / platforms. Proven expertise in designing and developing microservices using C#, gRPC, Python, Django, Kafka, and Apache Spark, with a deep understanding of both API and event-driven architectures. Proven experience designing and delivering highly-resilient event-driven and messaging based solutions at scale with minimal latency. Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and Kubernetes Fluency and Specialization with at least two modern OOP languages such as C#, Java, C++, or Python including object-oriented design Great understanding of open-source databases like MySQL, PostgreSQL, etc. And strong foundation with No-SQL databases like Cosmos, Cassandra. Apache Trino etc. In-depth knowledge of CS data structures and algorithms Ability to excel in a fast-paced, startup-like environment Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) Experience with Micro-services oriented architecture and extensible REST APIs Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Experience in implementing security protocols across services and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework Experience in leveraging PowerShell scripting Experience in existing Operational Portals such as Azure Portal Experience with application monitoring tools and performance assessments Experience in Azure Network (Subscription, Security zoning, etc.) Experience 10+ years full-stack development experience (C#/Java/Python/GO), with expertise in client-side and server-side frameworks. 8+ years of experience with architecture and design 6+ years of experience in open-source frameworks 4+ years of experience with AWS, GCP, Azure, or another cloud service Education Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. Benefits: As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including: Premier Medical, Dental and Vision Insurance with no waiting period** Paid Vacation, Sick and Parental Leave 401(k) Plan Tuition Reimbursement Paid Training and Licensures *Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. **Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants. For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Opportunities for Students & Grads Learn more about GEICO Learn more about GEICO Diversity and Inclusion Learn more about GEICO Benefits \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Docker, DevOps, Education, Cloud, API, Senior and Engineer jobs that are similar:\n\n $47,500 — $97,500/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\nMD Chevy Chase (Office) - JPS

\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

\nBackground: Global Fishing Watch is an international, non-profit organization committed to advancing ocean governance through increased transparency. We create and publicly share knowledge about human activity at sea to enable fair and sustainable use of our ocean. Founded in 2015 through a collaboration between Oceana, SkyTruth, and Google, GFW became an independent non-profit organization in 2017. Using cutting-edge technology, we create and publicly share map visualizations, data and analysis tools to enable scientific research and drive a transformation in how we manage our ocean. By 2030, we aim to monitor and map all commercial activity at sea, including all industrial fishing vessels, small-scale fishing activity, all large non-fishing vessels, and all fixed infrastructure such as aquaculture and oil rigs. We also plan to work with intergovernmental organizations and 30 governments around the globe to promote the adoption of transparency more widely and publicly share ocean data to drive better management of marine resources.\n\nThe Position\n\nThe Research and Innovation team at Global Fishing Watch (GFW) connects data science and machine learning experts with the scientific community to produce new datasets, publish impactful research, and empower others to use our data. This team harnesses satellite technology, machine learning, and big data to shed light on some of the most pressing issues facing the ocean.\n\nWe are now working to map the global footprint of commercial activity at sea, including the activity of all ocean-going vessels and fixed infrastructure. This work involves combining deep learning and data fusion techniques with petabytes of satellite imagery (radar and optical), and billions of GPS positions from vessels, mostly from the Automatic Identification System (AIS) and Vessel Monitoring Systems.\n\nThe Machine Learning Engineer will assist with large data pipelines of satellite imagery and help build computer vision models to detect and classify maritime objects in imagery data. The initial focus will be on vessel detection in high-resolution (3 m) PlanetScope optical imagery from Planet Labs, leveraging an existing model architecture developed for Sentinel-2. Subsequent work includes implementing new models to expand the detection capability to offshore infrastructure using new satellite imagery sources. The candidate will also collaborate closely with other members of the Research and Innovation team to correlate detected vessels (position, time and length) to vessels tracked by AIS. Finally, the candidate will work closely with the GFW Engineering and Product teams to ensure solutions are compatible and scalable within our cloud infrastructure. \n\nThe incumbent will gain experience working with leading researchers in the field and will interface daily with GFW’s team of data scientists and machine learning experts. They will develop further technical skills in programming, big data, and cloud computing while working for a globally diverse and fully distributed organization. The successful candidate will be organized and excited to help Global Fishing Watch develop strong partnerships and cutting-edge research. \n\nPrincipal Duties and Responsibilities\n\nModel development for small object detection\n\n\n* Design, train, and evaluate computer vision models for object detection in satellite imagery, with an emphasis on vessel detection in optical imagery \n\n* Implement preprocessing pipelines to obtain imagery and prepare it for annotation and modelling \n\n* Devise annotation strategies and tools for labelling vessels and fixed infrastructure in satellite images\n\n* Improve our training datasets and build new training datasets for other human-made objects, potentially managing external annotation services\n\n\n\n\nAdditional tasks may include\n\n\n* Provide technical support to the senior machine learning engineer(s) responsible for developing and advancing other Global Fishing Watch models\n\n* Assist data fusion efforts to integrate detections from multiple sources (e.g. Sentinel-1 SAR and Sentinel-2 optical), accounting for the recall of each model, length of the objects, cloudiness, and image resolution, among others\n\n* Analyze large amounts of data from various sources, such as vessel tracking, identity, and satellite imagery to identify trends, anomalies, and insights\n\n* Ensure the integrity and accuracy of key data pipelines and research BigQuery tables \n\n* Maintain and improve internal Python tools, such as modules and template repositories, to assist with migrating research projects from proof-of-concepts to automated prototypes\n\n* Lead or support eventual research publications and technical blog posts\n\n\n\nCandidate description\n\nSkills you should have\n\n\n* Bachelor's degree and at least four years of professional experience, or an equivalent combination of education and experience, in physical/earth sciences or a related field\n\n* Demonstrated skills and experience with Python\n\n* Strong foundation in mathematics and statistics\n\n* Familiarity working with geospatial data\n\n* Demonstrated experience working with cloud compute platforms and virtualized environments\n\n* Self-motivated with a strong curiosity and desire to learn new skills\n\n* Willingness to take ownership of projects and communicate project updates\n\n* Written and verbal communication skills in English\n\n* Ability to work with a remote team and embrace Slack, Google Suite, Jira, Notion and other collaborative tools\n\n\n\n\nAlso great\n\n\n* Some experience with database query languages such as SQL\n\n* Demonstrated experience with computer vision models\n\n* Demonstrated experience with frameworks such as TensorFlow or PyTorch\n\n* Familiarity with containerization tools like Docker and execution of models inside them\n\n* An appreciation for the complexities and rewards of collaborating in a remote, global and inclusive environment\n\n* Experience engaging with academic researchers and the peer-review process\n\n* Awareness of ethical considerations related to privacy and bias in satellite imagery analysis\n\n\n\n\nThe successful candidate will meet most, but not necessarily all, of the criteria above. Although it is obviously helpful, we do not expect that you already have a deep knowledge of building models or our key programming languages; we do expect that you have the aptitude to develop these skills and knowledge, and that you are excited about revealing human activity across the global ocean using these tools. If you don’t think you check all the boxes, but believe you have unique skills that make you a great fit for the role, we want to hear from you!\n\nAdditional Information\n\nReporting to: Senior Data Scientist / Senior Data Science Manager\n\nManages: NA\n\nLocation: Remote - we welcome candidates based in any country\n\nTerm: Permanent position\n\nFT/PT: Full-time\n\nRecruiting process\n\nA cover letter along with a CV will be requested to see how your experience and interest connect to the position. We expect the cover letter to explain details on how your skills, interests, and aspirations align with the role. If selected for consideration, the hiring process for this position will include a formal 45 minute interview with 2-3 staff followed by a 30 minute administrative screening by a Human Resources manager. Candidates advancing beyond this round will be asked to take a technical assessment. Lastly, an informal 30 minute call with 3-4 members of the Research and Innovation team will be held with finalists.\n\nPlease apply by January 26, 2024\n\nWorking Hours: Global Fishing Watch supports flexible working, so the pattern of hours may vary according to operational and personal needs. The position will be part of a global team spanning many different time zones and so the candidate should be able to accommodate semi-regular early/late meetings to be able to work effectively. Weekend work may be required on occasion. The post holder may be required to undertake regional and international travel. No overtime is payable.\n\nCompensation: A compensation range for this position is US$ 90,000-$110,000 for US-based employees - For applicants located outside of the US, the pay range will be adjusted to the country of hire. Compensation is commensurate with experience and will vary depending on the hired candidate’s country of residence, in accordance with local laws and regulations. GFW offers pension/retirement, health and other benefits commensurate with similar level GFW employees in the country of employment. The position may be a GFW employee or consultant, depending on the country of residence  \n\nEqual opportunities: Global Fishing Watch is an equal opportunities employer. Global Fishing Watch is committed to promoting diversity and inclusion within our organization and in the greater ocean management and conservation community. We believe that diverse backgrounds, skills, knowledge, and viewpoints make us a stronger organization. Bringing together professionals who possess broad experiences and a spectrum of perspectives will enable us to reach our goal of improved ocean governance faster. We hire and promote qualified professionals without regard to actual or perceived race, color, religion or belief, sex, sexual orientation, gender identity, marital, or parental status, national origin, age, physical or mental disability or medical condition, or any other characteristic protected by applicable law. Our organizational goals match the urgent challenges facing our global ocean, and our mission is designed to help secure a healthy ocean for all. We are committed to building a workforce that is representative of humanity’s diversity, by providing an inclusive and welcoming environment for all employees of Global Fishing Watch and for our partners, vendors, suppliers, and contractors. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, Accounting, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $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\nWashington, District of Columbia, United States