Разработка вакансии - удалённо

Задачи: - Работа по интеграции и внедрению продукта на серверах клиентов (on-premise) - Разработка новой функциональности, поддержка продукта - Работа с API - Деплоймент на Linux, Windows - Взаимодействие с командой ML-инженеров по обработке и подготовке данных Требования: - Хорошая алгоритмическая подготовка - Знание Python - Пользовательский опыт работы с Linux и навыки работы с командной строкой - Обязательно желание развиваться в будущем в роли ML-инженера

Location: Remote US; Remote Canada Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. We are seeking a highly skilled individual contributor (IC) with background knowledge on Database and QA to join the Database Performance and Reliability Team. In this role, you will be working closely on the InfluxDB Enterprise 3 product and be instrumental in ensuring the reliability, correctness, stability and high performance of our core database platform across complex data models and workloads. AI is integrated into our daily workflow, proficiency and hands-on experience with AI-driven tools and techniques are essential. WHAT YOU'LL BE DOING - Own and execute automated reliability, regression, and correctness test workflows within the CI/CD pipeline. - Implement and maintain repeatable test contracts utilizing frameworks like internal tools to validate query accuracy, product lifecycle, database compactions, and recoverability. - Differentiate between standard functional validation and exhaustive reliability testing—simulating real-world customer workloads, database restarts, memory exhaustion, and deployments. - Collaborate closely with core developers to convert high-level engineering specifications and customer root-cause analyses into formal, repeatable test constraints. - Investigate complex performance data variations, capture system profiles, and proactively identify architectural bottlenecks before production deployment. - Be part of an on-call rotation when need arises. - Develop and Review automated reports on a regular cadence to flag suspicious query latency regressions, data divergence bugs, or resource starvation issues to relevant engineering stakeholders. WHAT WE'RE LOOKING FOR - Coding Proficiency: Deep hands-on experience developing using Rust (highly preferred) or a desire to learn Rust with system experience in [C++|Golang]. - Strong QA and Testing Experience: Proven track record in performance, regression, and reliability validation frameworks. Ability to confidently establish repeatable baselines for distributed data systems. - Solid understanding of CS fundamentals with minimum Bachelor’s degree and 5 years of work experience. - Comfort using modern AI assistants and tools (e.g., Claude) for quick troubleshooting, on-the-fly utility generation, and analyzing logs and pattern anomalies at scale. - Competency working with containerized environments and orchestration frameworks like Docker and Kubernetes, alongside modern CI utilities such as CircleCI. - Excellent verbal and written communication skills, with the ability to effectively work asynchronously. BONUS IF YOU'VE HAD EXPERIENCE - Building distributed systems. - Working with database internals and various cloud vendors. - Participating in an on-call rotation. - Working with distributed products and teams. WHY JOIN INFLUXDATA? - Contribute to validate the core features of our database. - Join an agile, collaborative team that is remote now and in the future that values innovation and open communication. - Be a part of a culture that is dynamic, supportive, and committed to open source. If you're ready to work on the core of the future of InfluxDB and thrive within a high-performing team, apply to join us today! Applications will be accepted on a rolling basis. Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. We offer fantastic benefits for full time employees; in the US these include: - Medical/dental/vision insurance with 100% coverage for employees - Company contribution to your FSA - Flexible Time Off - take the time you need - Life Insurance, short and long term disability insurance - 401(k) - Wellness programs - Annual professional development budget - Financial planning and legal advice Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law.  To view our Know Your Rights Poster click HERE https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.  InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

Вакансия Software Developer in Test с релокацией на Мальту в компанию Tipico. В описании вакансии отсутствуют подробности о задачах, требованиях и условиях работы.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As an Engineering Manager for Postgres, you will lead a group of talented engineers building and maintaining the Render Postgres product. This role blends strong technical leadership with product thinking: you’ll partner closely with product managers and designers to translate user needs into a high-quality, scalable system, that hundreds of thousands of developers rely on every day. You’ll be responsible for guiding technical direction, developing engineers, and ensuring the team ships meaningful improvements quickly while maintaining the high standards that define Render’s platform. The ideal candidate brings a strong engineering background, a deep sense of ownership, experience building stateful services, and a passion for building products that developers love.   WHAT YOU'LL DO - Lead and grow a team of postgres engineers, supporting their development through mentorship, feedback, and clear technical guidance. - Drive execution on key product initiatives from ideation through launch, balancing speed with high standards of reliability and quality. - Partner closely with Product, Design, and Infra teams to translate customer needs into thoughtful technical solutions and product roadmaps. - Engage deeply in technical discussions, guiding system design decisions and helping the team navigate architectural tradeoffs. - Foster a culture of ownership, accountability, and continuous improvement across engineering practices and team processes. - Help the team break down complex problems into incremental milestones that deliver value quickly while supporting long-term platform evolution. - Ensure teams maintain a strong understanding of the developer experience and customer impact of the features they build. - Stakeholder Collaboration: Partner closely with product management, customers, and internal teams to understand needs, align priorities, and ensure delivery of impactful features and solutions.   WHAT WE'RE LOOKING FOR - 8+ years as an Engineer shipping products and/or features that have downstream impact on the business and product ecosystem. Ideally, experience with building stateful services. - 2+ years of experience managing people and developing engineers, including hiring, mentorship, and performance management. - Strong technical background with the ability to engage deeply in system design, architecture, and engineering tradeoffs. - Product-oriented mindset with experience translating business goals and user needs into engineering roadmaps and shipped features. - Ability to balance urgency with thoughtful execution, helping teams ship quickly while maintaining high quality. - Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and design. - A strong sense of ownership and accountability for both team outcomes and long-term system health. NICE-TO-HAVES: - Experience building products for developer platforms, cloud infrastructure, or DevTools. - Background working on highly scalable distributed systems or infrastructure platforms. - Experience improving engineering velocity through tooling, processes, and team practices. - Experience building products used directly by developers or technical users. - A track record of successful collaboration with product, marketing, and customer support teams to drive adoption and retention. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As an Engineering Manager for Object Storage, you will build and lead a group of talented engineers creating an object storage product (and in the future, abstractions on top of object storage) on the Render platform. This role blends strong technical leadership with product thinking: you’ll partner closely with product managers and designers to translate user needs into a high-quality, scalable system, that developers rely on every day. You’ll be responsible for guiding technical direction, developing engineers, and ensuring the team ships meaningful improvements quickly while maintaining the high standards that define Render’s platform. The ideal candidate brings a strong engineering background, a deep sense of ownership, experience building stateful services, and a passion for building products that developers love.   WHAT YOU'LL DO - Build and lead a team of object storage engineers, supporting their development through mentorship, feedback, and clear technical guidance. - Drive execution on key product initiatives from ideation through launch, balancing speed with high standards of reliability and quality. - Partner closely with Product, Design, and Infra teams to translate customer needs into thoughtful technical solutions and product roadmaps. - Engage deeply in technical discussions, guiding system design decisions and helping the team navigate architectural tradeoffs. - Foster a culture of ownership, accountability, and continuous improvement across engineering practices and team processes. - Help the team break down complex problems into incremental milestones that deliver value quickly while supporting long-term platform evolution. - Ensure teams maintain a strong understanding of the developer experience and customer impact of the features they build. - Stakeholder Collaboration: Partner closely with product management, customers, and internal teams to understand needs, align priorities, and ensure delivery of impactful features and solutions.   WHAT WE'RE LOOKING FOR - 8+ years as an Engineer shipping products and/or features that have downstream impact on the business and product ecosystem. Ideally, experience with building stateful services. - 2+ years of experience managing people and developing engineers, including hiring, mentorship, and performance management. - Strong technical background with the ability to engage deeply in system design, architecture, and engineering tradeoffs. - Product-oriented mindset with experience translating business goals and user needs into engineering roadmaps and shipped features. - Ability to balance urgency with thoughtful execution, helping teams ship quickly while maintaining high quality. - Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and design. - A strong sense of ownership and accountability for both team outcomes and long-term system health. NICE-TO-HAVES: - Experience building products for developer platforms, cloud infrastructure, or DevTools. - Background working on highly scalable distributed systems or infrastructure platforms. - Experience improving engineering velocity through tooling, processes, and team practices. - Experience building products used directly by developers or technical users. - A track record of successful collaboration with product, marketing, and customer support teams to drive adoption and retention. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is seeking a Senior Principal Engineer to serve as the technical visionary and architect for our Central Operations and Systems organization — the foundational platform that powers "how Docker does Docker", which includes corporate systems, developer AI/SDLC, infrastructure, reliability, and internal systems. This is one of the most impactful individual contributor roles at Docker, responsible for defining and driving the technical strategy that enables Docker's transformation to an AI-first company and effectively enables Docker to be "Customer 0" of Docker. Your influence will impact the work of every Dockhand every day. As Senior Principal Engineer, you will establish strategic technical plans that span the company systems/data architecture and the end-to-end employee experience, make critical architectural decisions that affect Docker's entire internal systems portfolio, and drive technical execution of cross-company initiatives that directly enable every Dockhand. You'll work at the technical intersection of AI, platform infrastructure, developer SDLC, corporate systems, and Docker products, ensuring all systems work together seamlessly to support Docker's most precious resources: our employees. This role requires someone who combines deep technical expertise across multiple domains. Managing the breadth is both the exciting and challenging part of this role. You'll be recognized across Docker as the definitive expert on employee experience, consulted by executives on strategic technical decisions, and responsible for ensuring that every Dockhand has the right tools at the right time to do their day to day work. RESPONSIBILITIES Technical Vision & Strategic Planning - Define and own the multi-year technical vision for Docker's Central Operations and Systems group, encompassing internal AI, developer tools, infrastructure, reliability, and corporate systems. - Establish strategic plans and objectives for major initiatives, making architectural decisions that ensure Docker's business objectives are met. - Contribute to and drive the strategic vision in collaboration with engineering leadership, translating organizational strategy into technical roadmaps that span multiple teams and time horizons - Identify and prioritize investments that provide maximum leverage—capabilities built once that enable rapid adoption and increase productivity across the employee base - Develop architectural principles and standards that guide technical decisions across the Central Operations and Systems group and influence product engineering teams - Anticipate future business needs and ensure platform architecture provides the flexibility to support Docker's evolving commercial models Cross-Company Technical Leadership - Lead technical vision and implementation for large cross-company programs that require coordination across all Docker teams - Architect the Docker SDLC "Golden Path": how Dockhands build, manage and deploy systems and software, as applicable - Drive convergence of fragmented systems across Docker—replacing product-specific implementations with shared platform capabilities - Establish technical contracts between platform and product teams that enable independent velocity while ensuring consistency and reliability - Lead architectural reviews for major initiatives across Docker, ensuring alignment with platform strategy and long-term maintainability - Proactively identify and solve problems that impact critical areas of the business before they become blockers Infrastructure & Developer Experience Architecture - Define the infrastructure platform vision that removes infrastructure as a bottleneck to innovation—enabling teams to deploy experimental services in minutes, not weeks - Architect standardized deployment patterns that encode best practices for security, scaling, monitoring, and reliability - Design infrastructure that specifically supports AI and agent initiatives—rapid deployment, programmatic environment creation, consistent APIs - Establish observability standards that provide distributed tracing, metrics, log aggregation, and error tracking out of the box for every service - Drive cost optimization across platform infrastructure while maintaining performance and reliability standards Technical Excellence & Influence - Work with senior managers and directors across Docker organization to drive operations and strategy - Mentor and develop Staff and Principal engineers, raising the technical bar across the organization - Represent Docker's platform architecture and AI adoption externally through blog posts, conference talks, and technical community engagement - Participate in executive-level discussions on technical strategy, providing architectural perspective on business decisions - Drive build-vs-buy decisions for critical platform components, evaluating vendor solutions against Docker's specific requirements - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. QUALIFICATIONS REQUIRED Technical Expertise - 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc) - Proven track record architecting and delivering large-scale distributed systems serving millions of users and thousands of enterprise customers - Broad working knowledge across all platform domains with ability to make sound architectural decisions spanning multiple areas - Expert-level understanding of API design, service architecture, and system integration patterns at scale, including in-house vs. vendor developed systems. - Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure patterns (Kubernetes, service mesh, infrastructure-as-code) - Knowledge of enterprise security requirements, compliance frameworks (SOC 2, ISO 27001), and their architectural implications - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience Strategic & Business Impact - Track record of establishing strategic technical plans that directly enabled business outcomes (revenue growth, cost reduction, market expansion) - Experience translating business strategy into technical architecture and roadmaps - Demonstrated ability to identify and prioritize investments that provide maximum platform leverage - Understanding of SaaS business models, enterprise sales cycles, and how platform capabilities influence commercial success - Experience making build-vs-buy decisions for critical platform components Leadership & Influence - Proven ability to drive large cross-company technical programs requiring coordination across multiple engineering organizations - Experience working with VPs and executives to set and execute technical strategy - Track record of influencing technical direction without direct authority—building consensus across teams with different priorities - Strong communication skills with ability to present to executives, influence leadership, and drive alignment at all levels - Experience mentoring senior engineers and developing technical leadership PREFERRED - Experience at developer tools, infrastructure software, or B2B SaaS companies at significant scale - Background with container technologies, Docker, Kubernetes, or developer productivity platforms - Track record of successfully migrating legacy systems while maintaining business continuity - Knowledge of Financial Operations and infrastructure cost optimization at scale - Advanced degree in Computer Science, Engineering, or related technical field - External recognition as a technical leader (conference speaking, publications, open source contributions) KEY SUCCESS METRICS Platform Leverage & Velocity - Product teams can launch enterprise-ready features in <2 weeks (vs. 6+ months today) by leveraging platform capabilities - Docker teams rapidly adopt new capabilities within 2 months of release (vs. 6+ months today) Technical Excellence - Platform systems achieve 99.9%+ uptime for business-critical workflows - Infrastructure platform reduces deployment time for new services from 2-4 weeks to <1 day Organizational Impact - Recognized across Docker as the definitive technical authority on internal architecture - Successfully drive convergence of fragmented systems, reducing technical debt and operational burden - Develop multiple Staff and Principal engineers who can own major platform domains Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $219K – $352K + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Задачи: — Развивать AI Agents, MCP, RAG и Skills — Работать с Agentic Workflows, где Frontend, Backend, QA, DevOps и аналитика выполняются параллельно несколькими AI-агентами — Работать с локальными AI-моделями — Развивать архитектуру, CI/CD и production-ready подходы — Понимать SDLC: от требований и архитектуры до deployment и поддержки — Работать с бэком на Java или Go Цель: — Сформировать Fullstack AI Loop Engineer, способного пройти полный цикл создания продукта и использовать AI как полноценную часть engineering workflow Требования: — Грейд не принципиален: Junior, Middle или Senior — Опыт в финтехе или банках не обязателен — Важнее инженерное мышление, интерес к AI и готовность постоянно учиться Условия: — Формат работы удалённый

Location: San Francisco Bay Area, California; New York City Metropolitan Area Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints. You will do the customer’s job before you automate it. Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it. A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and rebuild the function from first principles — and you are the one who builds it. Three things define how you work: Embedded, not engaged . You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Real tasks, not scope . You are not fenced into a siloed deliverable. You go where the operating problem is. Autonomous . Embedded is not staff-augmented. You own the method; nobody hands you a ticket. You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice. You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered. This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping. Requirements: 8+ years building software , a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply. You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API. Strong hands-on prodcution experience with Claude Code/Cowork. Fluent English, written and spoken. Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution. Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management . Consulting, professional services, or other embedded customer-facing delivery. Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality. MLOps and classical ML: PyTorch, SageMaker, MLflow. Fine-tuning, distillation, or inference/serving optimization. Graph databases (Neo4j, AWS Neptune). IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Take the seat Do the operator’s job for two to four weeks at the start of an engagement. Learn the function from inside, not from a requirements doc. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow — in weeks, not quarters. Sit with the operator and the Forward Deployed Executive and redesign the function from first principles. Discovery, user research, and PRD-writing collapse into one team that re-imagines its own job. You are all three roles. Build Ship production GenAI systems into the customer’s environment — LLM applications, agentic workflows, retrieval and structured-extraction pipelines, and the services around them. Running software, not recommendations. Build the evaluation harness before you build the feature. When the engagement is bound to a business KPI, “it looked good in testing” is not an answer. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — backend services, data pipelines, and the AI layer. Python and TypeScript are our centre of gravity; we choose tools to fit the customer, not the résumé. Take systems to production on AWS (GCP/Azure where the customer requires it): containerized, observable, and maintainable after we leave. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Own the outcome Work in a pair with a Forward Deployed Executive who carries the Business Unit’s KPIs. Your work is measured against the same number. Drive adoption. A system the BU routes around has not shipped. Change management is part of the engineering job here, not a phase after it. Be credible with the customer’s engineers, their operators, and their executives — and be willing to disagree with all three. Shape what we commit to before we commit to it. You’ll have the standing to do it, because you’re the one who will build it. What We Offer: Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. OTE range: up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. How we hire: Intro conversation — the role, your background, what you want to be doing. Two live engineering sessions. Real problems, your own editor. You may use an LLM assistant (ChatGPT, Claude) — how you work now includes these tools. Autocomplete/agentic coding tools are off for these sessions. The redesign session. We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one. Team and practice conversation.

Location: United Kingdom; Ireland; Poland Workplace: Remote As a Senior Software Engineer on Coder’s Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. What you’ll do here - Design and build production systems in Go, with work across React and TypeScript where needed. - Improve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Build reliable integrations between agents, workspaces, tools, and developer infrastructure. - Own projects from implementation through rollout and iteration. - Contribute to design reviews, code reviews, and technical discussions. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve the reliability, performance, and operability of agentic systems. What we’re looking for - Strong experience building and operating production software systems. - Hands-on experience with Go. - Experience with React and TypeScript. - Experience building systems around LLMs or agentic workflows. - Familiarity with model APIs, tool calling, context management, or agent loops. - Good understanding of distributed systems and production reliability. - Working knowledge of AWS. - Strong problem-solving skills and comfort working through technical ambiguity. - Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building integrations across multiple model providers. - Experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers. Our tech stack - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: England; Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Secure Build builds and operates the infrastructure behind Docker's container builds. The team owns Docker Build Cloud and Docker Hub Automated Builds while developing the next generation of trusted build and CI capabilities. Its direction is to make Docker the trusted place CI runs: isolated execution, brokered access to secrets and networks, and verifiable evidence of what each build or test job did. The work spans Go services, container and build technology, cloud infrastructure, sandboxing and software supply-chain security, alongside the operational responsibility for production systems customers already depend on. SCS Services builds the backend systems and product capabilities that help developers understand, secure and ship software with confidence. The team powers important parts of Docker Scout and Docker Hardened Images, including the services and workflows that turn supply-chain data into useful developer, customer and agent experiences. Its estate is deliberately polyglot, with Clojure and Go services, event-driven workflows, Kafka, legacy Datomic components and newer Spanner-backed services. It also supports the customer journey around discovering, assessing, subscribing to and managing hardened artefacts. We are looking for one Engineering Manager to lead both teams. Together they sit at the centre of Docker's secure software supply-chain work: one creates trusted build outcomes, while the other turns build, artifact and dependency data into services and experiences used across Scout and Docker Hardened Images. This is a two-team leadership role with separate roadmaps, production responsibilities and technical domains. The teams should deliver independently, with explicit contracts and joined-up ownership where their services connect. You will own the health, delivery and growth of both teams and make the trade-offs that keep them effective as a portfolio. You will not be expected to be the deepest expert in every language or domain. You will need enough technical breadth and current engineering judgement to engage credibly in designs, reviews and incidents across both teams, set direction with strong senior engineers, and recognise when the right answer is to create space for their expertise. THE KIND OF PERSON WE'RE LOOKING FOR The successful candidate leads first. They are an experienced engineering manager who can inherit two capable teams, earn trust quickly and help each become a high-performing, value-delivering part of the wider Docker organisation. They are deliberate about where they spend their attention, protect both teams from becoming the second priority, and make portfolio trade-offs visible rather than allowing urgency, proximity or the loudest stakeholder to decide. They stay close to the technical work without trying to own every technical decision. They can hold a substantive conversation about distributed backend systems, event and data pipelines, build and CI infrastructure, trust boundaries and production operations. They are active in design and review, useful during incidents and willing to get hands-on where that moves the work forward. The balance still tilts strongly to leadership, coaching, delivery and organisational judgement. They care about security as a product and engineering property, not only as compliance. They understand how modern attacks exploit identity, secrets, dependencies and build systems, and they can reason about the evidence customers need to trust an artefact or workflow. They lead through judgement, clarity and unblocking rather than ceremony for its own sake. Above all, they grow the engineers around them and help both teams ship outcomes developers and enterprises can rely on. RESPONSIBILITIES: - Lead Secure Build and SCS Services, owning delivery, team health, growth, performance and operational excellence across both. - Turn two changing roadmaps into a coherent portfolio plan with explicit priorities, capacity and trade-offs, and create leadership coverage so neither team becomes the permanent second priority. - Partner with Product to shape strategy and roadmaps for secure build, Docker Scout, Docker Hardened Images and the services that connect them. - Stay close to the technical work through design and code review, incident response and selective hands-on contribution where it adds leverage. - Ensure each team's technical direction supports product, security, reliability and customer priorities, setting it collaboratively with Staff and senior engineers while leaving clear decision ownership with them. - Own the interfaces between the teams, including trust boundaries, contracts, data quality, versioning, operational ownership and customer-facing failure modes. - Balance new product work with inherited systems and on-call, and invest in reliability improvements driven by recurring operational pain. - Own engineer growth and performance, handle difficult conversations directly, hire and retain strong people and build succession depth within both teams. - Align Product, Design, Security, DHI Content, Registry, Hub, sales, support, commercial and legal partners while shielding the teams from churn. - Lead disciplined use of AI-assisted engineering and communicate decisions, risks and progress clearly across UK and US working hours. QUALIFICATIONS - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - 5+ years managing high-performing engineering teams, with meaningful responsibility across more than one team or distinct technical domain. - 8+ years of professional, hands-on software engineering experience in backend, infrastructure, platform or developer tooling. - Experience leading, growing and retaining engineers at or above your own technical seniority, including teams you did not build and difficult performance conversations. - A leader-first operating model, with current enough technical judgement to participate in design and review across unfamiliar systems without needing to be the best engineer in the room. - Experience prioritising across competing roadmaps, operational load and stakeholder commitments, with clear mechanisms for allocating attention and capacity. - Strong backend and distributed-systems judgement, including APIs, event-driven architectures, data stores, cloud-native infrastructure and production operations. - Understanding of CI or build-system internals, containers and artefact workflows, plus a strong interest in software supply-chain security and trust boundaries. - Experience leading teams that operate production infrastructure through on-call, incident response, observability, SLOs and the work required to reduce recurring operational load. - Strong product judgement and evidence of shaping roadmaps with Product rather than only receiving requirements. - Clear written and verbal communication, strong cross-functional influence, customer closeness and comfort leading a remote-first organisation across European and US time zones. Helpful, but Not Required - Experience with Go, Clojure or both, and evidence of becoming effective across a polyglot estate. - Experience with Kafka, Spanner, Datomic or comparable event-streaming and distributed-data systems. - Experience with OCI, BuildKit, Buildx, GitHub Actions or comparable build and CI platforms. - Experience with sandboxing, microVMs, untrusted workload execution or multi-tenant infrastructure. - Experience with SLSA, in-toto, SBOMs, VEX, Sigstore, cosign, provenance, signing or vulnerability scanning. - Experience evolving legacy systems while shipping new capability for developer tools, security products, regulated customers or software-agent workflows. WHAT TO EXPECT FIRST 30 DAYS - Build relationships with every engineer and the Product partners for both teams before changing structure, process or roadmap. - Understand Secure Build's product direction, production estate and on-call load, including Docker Build Cloud and Docker Hub Automated Builds. - Understand the SCS Services products, customers, architecture and operational profile, and map the dependencies, trust boundaries and ownership lines between the teams. FIRST 90 DAYS. - Own a coherent portfolio plan with both teams and Product, including explicit capacity for roadmap, reliability and cross-team work. - Establish a sustainable operating cadence and leadership coverage that prevents either team depending on your constant presence. - Agree ownership and escalation paths for shared services and failures, start one material improvement in each team and make progress and risk visible. ONE YEAR OUTLOOK - Both teams deliver predictably against a portfolio that connects secure build, Scout and Docker Hardened Images outcomes without collapsing their distinct missions. - Secure Build has delivered material trusted-build or secure-CI capability and reduced operational risk in its inherited production systems. - SCS Services has delivered material customer outcomes, while both teams have sustainable on-call, clearer ownership and senior engineers leading broader work. Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity Canada: CA$244,550 – CA$392,150 + equity United States: $174,900 – $282,700 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE