\nMatterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. You’ll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterport’s 3D reconstruction pipeline. The ideal candidate is an individual who thrives in dynamic environments orchestrating high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities. You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services.  This position will report to the Software Vice President for Vision & Learning.   \n\n\n\nWhat you will do:\n* Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.\n* Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.\n* Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.\n* Lead by example as a working manager with strong hands-on engineering fundamentals.\n* Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.\n* Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.\n* Work with cross-functional teams across Product, Sales, Customer Success and Business Development\n* Advocate for new technical architecture and innovation \n* Implement and refine development and cross-functional processes\n* Hire, mentor, lead, and coach senior and principal engineers to meet their full potential\n* Act as a leader for implementing best-practices across the organization\n\n\n\n Who you bring:\n* Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.\n* 5-8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.\n* Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.\n* Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow.\n* Strong experience with AWS cloud services\n* Strong knowledge of data management processes for large-scale machine learning datasets.\n* Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.\n* Strong knowledge of software engineering best practices, including version control, testing, and deployment.\n* Experience with model quantization, distillation or other compression techniques.\n* Excellent communication and collaboration skills.\n\n\n\nNice to Have:\n* Master's degree or PhD in Computer Science, or related field\n* Strong knowledge of C++\n* Experience with 3D graphics, computer vision, point clouds, or spatial data\n* Experience with data streaming and real-time processing frameworks such as Kafka\n* Experience with ML dataset management tooling, such as Activeloop Deeplake.\n* Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.\n* Experience with big data technologies such as Snowflake, Spark, or Hive.\n* Experience with model interpretability and explainability techniques.\n* Experience with building and deploying machine learning models on edge devices or IoT devices\n\n\nWe want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but don’t necessarily meet every bullet in the job description we encourage you to apply.\n\nThe US base salary range for this full-time position is $160,000 to $294,100 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n\nPerks & Benefits\n* Comprehensive health plans* – 100% of premiums covered for employees & 88% of dependent premiums for US employees\n* Flexible Time Off for Exempt Employees/Generous PTO plan for Non-Exempt Employees – Take time to rest, relax and explore! Plus we offer Summer Fridays!\n* 401k,  Company ownership in the form of RSU’s & ESPP Program\n* Medical and retirement benefits vary by Country \n* For more detail visit www.matterport.com/careers \n\n\n\n\n\n\nBelief in Diversity\n\n\nAt Matterport, we don’t just accept differences, we celebrate them and recognize the value they bring to our customers and employees. Matterport is proud to be an equal opportunity workplace and works to create and support diversity at Matterport. Equal opportunity and consideration are afforded to all qualified applicants and employees. We won’t unlawfully discriminate on the basis of gender, identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, sexual orientation, and any other category protected by law. We are committed to providing employees with a work environment that provides a sense of inclusion and belonging and is free of discrimination and harassment. We also consider all qualified candidates regardless of criminal histories, consistent with legal requirements.\n\n\nMatterport is likewise committed to working with and providing reasonable accommodation to all qualified applicants and employees with disabilities in accordance with the American Disabilities Act\n\n\nFor more information regarding how Matterport collects and uses personal information, please review our Privacy Policies. https://matterport.com/privacy-policy\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, Testing, DevOps, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $50,000 — $80,000/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\nUnited States

\nAbout BLEN\nBLENers are passionate about using technology to solve real-world problems. For over 20 years, we've been helping government agencies and businesses transform their digital experience. We bring fresh perspectives to every project, from modernizing legacy systems to building cloud-native applications to experimenting with technology that’s just around the corner. We value building long and enduring partnerships to solve complex challenges by putting humans at the center of all the experiences. Our team thrives on turning tricky problems into solutions that are practical, accessible and performant.\n\n\nAbout this position\nAs a Senior Software Developer II - Full Stack at BLEN, you will take on a highly strategic role in designing, architecting, and developing scalable, robust digital solutions. This role demands a combination of deep technical expertise in both front-end and back-end technologies and the ability to collaborate closely with tech leads and sometimes take on tech lead responsibilities. You will be expected to think strategically, mentor team members, and deliver high-impact solutions while embracing ownership and accountability. In addition, this position requires a strong background in cloud services, system architecture, AI toolings, and an eagerness to innovate by building prototypes and transforming proof of concepts into production-ready features\n\n\n\nWhat we would like from you\n* Technical Leadership and Strategy\n* Collaborate closely with the tech lead, taking responsibility for the system's architecture and development strategy\n* Step in as the acting Tech Lead when required, making key technical decisions that ensure alignment with overall product and business goals\n* Design and implement scalable, efficient, and maintainable systems and architectures\n* Work on building prototypes and proof of concepts that later become major production features\n\n\n\n* Software Development and Problem-Solving\n* Leverage extensive full-stack development experience to lead high-complexity, outcome-driven projects\n* Proactively diagnose and solve architectural and technical issues, driving quality improvements in existing systems\n* Work hands-on with modern tech stacks, including advanced usage of cloud platforms, ensuring scalable system designs\n* Actively contribute to the development and deployment of AI-driven solutions and applications\n\n\n\n* Mentorship and Team Development\n* Mentor and support junior engineers, focusing on transferring skills in system design, cloud services, and AI technologies\n* Provide technical guidance across teams, fostering a culture of continuous learning and innovation\n* Engage in technical interviews, assessing candidates' skills and cultural fit\n\n\n\n* Communication and Stakeholder Engagement\n* Present design documents, architecture diagrams, and technical solutions to clients, stakeholders, and cross-functional teams\n* Communicate technical strategies and developments effectively across the team and external partners\n\n\n\n* Process Improvement and Innovation\n* Drive improvements in software development processes and practices, with a focus on high performance and scalability\n* Champion best practices in system design, architecture, cloud services, and AI development\n* Stay up to date with emerging technologies and trends in AI and cloud computing, applying this knowledge to drive innovation in the organization\n\n\n\nBasic qualifications\n* Essential Requirements\n* 10+ years of engineering experience, with a proven track record of designing and developing scalable, reliable, and maintainable systems and architectures\n* Extensive experience with full stack development using Python, React, Next.js, Node.js, Java or Ruby on Rails\n* Hands-on experience with Python and AI toolings, including familiarity with large language models (LLMs) and other modern AI frameworks\n* Strong expertise in containerization technologies like Docker and orchestration tools such as Kubernetes, ensuring systems are scalable and maintainable in a cloud-native environment\n* Experience working with both relational databases such as PostgreSQL, MySQL, and NoSQL databases like Firestore, MongoDB, ensuring effective database design, optimization, and scalability\n* Hands-on experience integrating external APIs and third-party services into applications\n* Strong cloud services management and configuration skills with AWS, Azure, or GCP, leveraging these platforms for high availability, scalability, and security\n* Proficiency in version control systems (e.g., Git), and experience managing large, complex codebases\n* Robust problem-solving skills, particularly in diagnosing and resolving complex system issues related to distributed systems, cloud infrastructure, and application performance\n* \n\n* Preferred Skills and Experience\n* Prior experience leading engineering teams or acting as a Tech Lead\n* Experience building AI applications and their underlying infrastructure\n* Familiarity with DevOps tools and best practices\n* Ability to obtain a Public Trust Clearance\n\n\n\nRequirement\n* Must be a US Citizen or legal resident and able to work domestically\n* Must be located in the United States\n* Must be able to attain low-level security clearance\n\n\n\nPerks\n* Work from anywhere.\n* Competitive pay.\n* A contribution to your health benefit.\n* The chance to work on high-visibility projects and make a significant impact.\n\n\n\nGet to know us\n* We are a small, creative and highly technical team.\n* Our heroes are the scrappy folks that dare to dream and do great things. We love people that care more about doing the right thing than taking a shortcut.\n* We believe in finishing projects and floor our clients by how much we cared about their project.\n* We believe in integrity and because we're small, we are very selective of our partners and clients.\n* We do not use phrases like 'human resource' because you are NOT a resource. You are a team member and we will treat you like one.\n\n\n\nWhat you should expect from us\n* We will treat you fairly.\n* We give you space to grow both personally and professionally.\n* We will hear your ideas even when we disagree -- especially when we disagree.\n* We will be equitable with our success and be honest with our challenges.\n* We will always tell you the truth. Even when the truth is difficult.\n\n\n\nBLEN's hiring process\n* Resume Review: Our team evaluates your resume and online profiles (LinkedIn, GitHub, etc.) to assess qualification fit.\n* Role-Specific Assessment (depending on role, due in 24 - 48 hours): Complete a take-home assignment or live coding session to demonstrate technical skills. For this role, this will be the assessment: https://github.com/blencorp/blen-fullstack-engineer-take-home\n* Hiring Manager Screen (30 mins): Dive deeper into your experience and the role with the hiring manager.\n* Virtual Interviews (2 rounds, 30-45 min each): Technical and competency-based interviews aligned with Blen's values, conducted via Google Meet.\n* Decision & Offer: Post-interview, the hiring team decides. If selected, your recruiter will extend an offer and assist with logistics.\n\n\n\n\n\n$135,000 - $170,000 a yearThe salary range represents the compensation we expect to offer candidates who can perform the core responsibilities with minimal additional training. Actual compensation may vary based on factors such as skill set, level of experience, and scope of responsibility. Our recruitment team is available to discuss your specific salary requirements and to provide more information about how we determine compensation. We are committed to fair and transparent pay practices and encourage open dialogue about our compensation structure throughout the application process. We look forward to learning more about your qualifications and how they align with our framework.\nEqual Opportunity Employer/Protected Veterans/Individuals with Disabilities\nThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c).\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, DevOps, Java, Cloud, Ruby and Senior jobs that are similar:\n\n $52,500 — $95,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nWashington, DC

[Please submit your application HERE for consideration.]\nAbout Us:\n\nWe are a leading provider of SaaS products for the professional services industry. We are most well-known for our legal practice management software and our online payment solution designed specifically for legal professionals. Endorsed by all 50 state bar associations and the American Bar Association, our payment solution is trusted by attorneys nationwide. Founded in Austin, TX, in 2005, we have grown to serve over 74,100 law firms and 10,000 accounting firms with a combined headcount of 500 employees.\nWhy Join Us:\n\n\n* Innovative Environment: Be part of a team that builds cutting-edge solutions to help professional businesses operate efficiently.\n\n* Industry Leader: Work with the largest legal tech company in the market.\n\n* Career Growth: Opportunity to lead our team expansion in Colombia & Brazil and become a future leader in the company.\n\n* Customer Impact: Create products that make a real difference for our customers.\n\n* Long-Term Stability: Be part of a company with a stable and long-tenured team, where you can grow and develop new skills.\n\n* Lateral Movements: Explore opportunities for lateral moves within different business units to expand your horizons.\n\n* Travel Opportunities: Chance to travel to our HQ in Austin, Texas.\n\n* Impressive Platform: Work on an incredible payments platform that processes $20 billion USD a year.\n\n\n\nKey Responsibilities:\n\n\n* You will be working with the embedded Quality Engineer to determine what test cases are high value for automation and help\n\n* You will implement automated Python-based tests that provides the team with the confidence and the freedom to make forward progress with the application\n\n* You will identify what tests should be automated and which should not, through understanding of features and product schedule\n\n* You will implement front-end, back-end, and end-to-end automation and own and maintain automated test cases and suites and associated code.\n\n* You will help build and maintain the QE infrastructure in collaboration with the devops team to provide a reliable build pipeline and test environments\n\n* You will analyze and decompose complex issues and collaborate with others to drive the adoption of standard methodologies in code health, testing, and maintainability\n\n* You will assist with post-deployment validations in pre-production and staging environments\n\n\n\nWhat We’re Looking For:\n\n\n* You have a BS in computer science or IT or at least 5 years equivalent work experience\n\n* You have experience in the design and use of an automation framework, preferably PyTest\n\n* You have a demonstrated proficiency in Python 3 and ability to complete a coding assignment\n\n* You have a strong understanding between testing types (Unit, Functional, Non-Functional, E2E, Edge Case, etc.) and what attributes of a test make it a candidate for automation and which do not\n\n* You have familiarity with a test tracking tool, such as TestRail, Tricentis qTest, or similar and use of associated APIs for reporting automated testing results\n\n* You have experience with CircleCI, Jenkins, or some other CI system\n\n* You have experience with Git or other SCM\n\n* You have a strong understanding of manual and automated testing of front-end UIs, preferably in Cypress or Playwright\n\n* You are familiar with SQL databases writing tests using complex queries, and understanding complex schemas, and the data needed to execute various automated test cases\n\n* You have a strong understanding of concepts related to computer architecture, data structures, and both testing and programming practices\n\n* You work effectively, efficiently, and independently with minimal guidance\n\n* You have previous finance/fintech or adjacent experience. This is preferred, but not mandatory\n\n\n\nPerks and Benefits:\n\n\n* Competitive salary and benefits.\n\n* Work with a supportive and collaborative team.\n\n* Opportunities for professional development and career growth.\n\n* Flexible work environment.\n\n* Long-Term Stability: Be part of a company with a stable and long-tenured team, where you can grow and develop new skills.\n\n* Lateral Movements: Explore opportunities for lateral moves within different business units to expand your horizons.\n\n* Join us and be part of a team that's making a difference in the professional services industry! Apply now and help us build solutions that empower businesses to thrive.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, DevOps, Git, Senior and Engineer jobs that are similar:\n\n $55,000 — $95,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBogotá, Bogotá, Colombia

\nWe're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims. As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving over a million Hims & Hers users.\nYou Will:\n\n\n* Architect and develop data pipelines to optimize performance, quality, and scalability\n\n* Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources\n\n* Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake\n\n* Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance\n\n* Orchestrate sophisticated data flow patterns across a variety of disparate tooling\n\n* Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics\n\n* Partner with the rest of the Data Platform team to set best practices and ensure the execution of them\n\n* Partner with the analytics engineers to ensure the performance and reliability of our data sources\n\n* Partner with machine learning engineers to deploy predictive models\n\n* Partner with the legal and security teams to build frameworks and implement data compliance and security policies\n\n* Partner with DevOps to build IaC and CI/CD pipelines\n\n* Support code versioning and code deployments for data Pipelines\n\n\n\nYou Have:\n\n\n* 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting languages\n\n* Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed\n\n* Demonstrated experience writing complex, highly optimized SQL queries across large data sets\n\n* Experience with cloud technologies such as AWS and/or Google Cloud Platform\n\n* Experience with Databricks platform\n\n* Experience with IaC technologies like Terraform\n\n* Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres\n\n* Experience building event streaming pipelines using Kafka/Confluent Kafka\n\n* Experience with modern data stack like Airflow/Astronomer, Databricks, dbt, Fivetran, Confluent, Tableau/Looker\n\n* Experience with containers and container orchestration tools such as Docker or Kubernetes\n\n* Experience with Machine Learning & MLOps\n\n* Experience with CI/CD (Jenkins, GitHub Actions, Circle CI)\n\n* Thorough understanding of SDLC and Agile frameworks\n\n* Project management skills and a demonstrated ability to work autonomously\n\n\n\nNice to Have:\n\n\n* Experience building data models using dbt\n\n* Experience with Javascript and event tracking tools like GTM\n\n* Experience designing and developing systems with desired SLAs and data quality metrics\n\n* Experience with microservice architecture\n\n* Experience architecting an enterprise-grade data platform\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, Testing, DevOps, JavaScript, Cloud, API, Senior, Legal and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

\nVirtual Pricing Director is hiring a Back End Engineer - working in Node.js and other languages - to architect and implement its new Legal Tech back end and data platform.\n\nOur software empowers a wide audience within law firms to swiftly produce consistently high quality data-driven pricing proposals that profitably deliver on clients' expectations of pricing transparency and pricing certainty. We achieve this with a best in class data management and workflow platform, and a compelling focus on UI/UX.\n\nWe have a proven MVP, the best-recognised brand and strong demand. Now embarking on our third product release, you will design and build out an entirely new data structure and back end. You will be establishing data pipelines, representing data for BI and reporting, and building comprehensive back end capabilities. Your work will go on to manifest new workflow management capabilities, and to bring structure to unstructured data.\n\nThe domain entails data-intensive services where security, data integrity and uptime are key. This presents lots of interesting challenges as we build and integrate our technology. We offer considerable freedom in technology choice and approach. There are big plans and lots to accomplish.\n\nUpcoming projects\n\n\n* Exploring, innovating and creating IP\n\n* Designing and implementing new data structures and logic\n\n* New back end for modular BI and reporting products\n\n* New API and data integration pipelines\n\n* Designing operational AWS infrastructure\n\n* Automating quality, CI/CD, and shaping a DevOps culture\n\n* Supporting dialogue with customers\n\n* Exploring GraphQL\n\n* Upholding ISO27001\n\n* Preparing for explorations in machine learning\n\n\n\n\nWe're looking for\n\n\n* Someone ready to shape the back end and data solution\n\n* Strong grounding in Computer Science, Data Science or Mathematics, through formal study - or equivalent knowledge\n\n* Deep, technical, software design and coding skills - accrued in a modern web back end context\n\n* Technology agnostic and adept with Node.js and strong SQL\n\n* Ability to build modern microservice-based systems that scale\n\n* Ability to unpack complex requirements, to uphold security of sensitive data and to conform to best practices\n\n* A collaborative, adaptable, user-centered approach\n\n* You may also bring - or like to gain - interests around knowledge management, data science, NLP or machine learning\n\n* Someone considering remote, Senior or Lead level, back end jobs such as: Back End Engineer | Back End Developer | Microservices Developer | Lead Software Engineer | Node.js Developer | Node.js Engineer etc.\n\n\n\n\nAnticipated ecosystem - we'll welcome your influence\n\nNode.js | optionally some Python, Go, Rust or similar | PostgreSQL | GraphQL | AWS | ML | TDD | Agile\n\nSalary and benefits\n\n\n* £60,000 - £90,000+ we're keeping an open mind\n\n* Share scheme for founding team members (once proven value to the business)\n\n* 25 days holiday, plus public holidays and a day for your birthday\n\n* Family-friendly and flexible culture - tell us what you need\n\n* Personal development plan that you can shape, with budget for related training/certifications\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to JavaScript, Python, Node, Data Science, Golang, Engineer, Backend, DevOps, Scheme, API, Senior and Legal jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n