Location: United Kingdom Remote; Canada Remote; Argentina Remote
ABOUT THE TEAM
The Canvas Core team builds and maintains the foundational platform that powers Mural’s visual thinking experience. This includes the infinite canvas, key editor components, document editing behaviors, asset management, real-time collaboration, and the systems that enable fast, reliable, and intuitive interaction on the canvas.
We’re also responsible for the Mural UI, the real-time message protocol that enables seamless remote collaboration, and the developer-friendly APIs that internal teams use to build features like diagramming, workshops, presentations, integrations, and AI-enabled product capabilities.
Our mission is to ensure the Mural editor is fast, reliable, intuitive, and easy to build on.
We prioritize performance, simplicity, developer experience, and platform quality, enabling teams across the company to ship quickly and safely on top of Canvas Core.
YOUR MISSION
As a Senior Software Engineer, you’ll help design, build, and improve the Canvas platform so that the Mural editor remains reliable, high-performing, and intuitive for our users.
You’ll work on the systems that power real-time collaboration, shared document editing, spatial interactions, rendering and interaction performance, asset management, developer APIs, and AI-enabled product capabilities across the Mural editor.
Your role will be to reduce platform complexity, improve the quality and speed of Canvas development, and help teams ship high-quality editor experiences quickly and safely. You’ll partner closely with Product, Design, Engineering, and other stakeholders to turn ambiguous product and platform problems into clear, maintainable technical solutions.
Senior Engineers at Mural lead by example through strong technical execution, thoughtful design, high-quality implementation, and collaborative problem-solving. They help raise the bar for their team through design discussions, code reviews, mentoring, documentation, and pragmatic improvements to engineering practices.
WHAT YOU’LL DO
- Own and deliver new Canvas platform capabilities and improvements from problem definition through implementation, release, measurement, and iteration
- Partner with Product and Design to shape high-quality user experiences, balancing pragmatic technical delivery with long-term platform needs
- Design and build maintainable Canvas platform systems, with accountability for quality, performance, reliability, and developer experience
- Contribute to developer-friendly APIs, service boundaries, and platform contracts that internal teams can build on quickly and safely
- Use AI-assisted tools and agentic workflows as part of your engineering practice to prototype, implement, test, document, and measure work effectively
- Strengthen the team through technical design reviews, demos, code reviews, mentoring, and improvements to engineering practices
- Build and evolve canvas systems with rich document and object models, including hierarchical scene or document structures, spatial indexing and querying, layout behavior, asset management, and selection mechanics
- Work on large-scale concurrent and real-time collaboration systems that keep shared documents synchronized across users, contributing to design decisions around event ordering, latency, conflict handling, and failure-mode management
- Help design, build, and integrate AI-enabled product capabilities where they intersect with the canvas, document model, real-time collaboration systems, or developer platform
- Improve performance through profiling, bottleneck analysis, architectural simplification, targeted optimization, and moving expensive work out of critical interaction paths so systems remain responsive as document complexity and user activity scale
WHAT YOU’LL BRING
- Fluency in modern JavaScript/TypeScript, with familiarity in React, Node.js, or comparable modern frameworks
- 6+ years building and shipping large-scale production software as part of an agile engineering team
- Strong engineering judgment, with experience designing and delivering scalable, reliable, high-performance systems and developer-facing abstractions that balance simplicity, developer experience, and long-term maintainability
- Experience designing clean API contracts and service boundaries, including thoughtful data models, versioning, validation, error handling, documentation, and long-term maintainability
- Experience building distributed, concurrent, collaborative, or low-latency systems, such as collaboration tools, MMO games, shared-state systems, messaging protocols, or other low-latency user experiences, with familiarity across synchronization, consistency, event ordering, latency, failure modes, and performance trade-offs
- Exposure to complex systems with rich object models, including hierarchical scene or document structures, spatial indexing and querying, layout behavior, asset management, selection mechanics, and performance-sensitive user interactions is a strong plus
- Interest in AI-enabled product capabilities, or hands-on experience building or integrating them in production, such as intelligent editing, automation, recommendations, semantic document understanding, or collaboration features powered by AI
- Performance optimization experience, including profiling, bottleneck analysis, memory and CPU efficiency, latency reduction, and responsiveness as document complexity and user activity scale
- Familiarity with parallel processing, off-main-thread architectures, rendering pipelines, background computation, or other multithreaded systems is a plus
- Practical experience using AI-assisted tools to prototype, implement, test, document, and measure engineering work
- Communication and collaboration skills, with a low-ego approach to working with Product, Design, and Engineering, and the ability to contribute meaningfully to technical discussions, collaborate across teams, and help improve team engineering practices
- Comfort operating in high-growth, fast-paced environments or scale-ups is a plus
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
EQUAL OPPORTUNITY
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.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Professional Services Engineer at GitLab, you'll partner with public sector customers to help them successfully adopt and expand GitLab across their organization. You'll deliver services such as installation, migration, training, and advisory engagements, meeting customers where they are, from single-node Omnibus installations to larger reference architectures using infrastructure as code and configuration as code. In this role, you'll balance hands-on technical delivery with clear communication and project ownership, helping customers make practical choices that fit their goals, timelines, and environments. You'll also work closely with project managers and engagement managers to make delivery more consistent and improve how we run engagements. As you work with customers, you'll act as a feedback loop to GitLab's product and engineering teams by communicating insights that can improve GitLab features and delivery processes. This role is a strong fit for someone who enjoys solving complex problems, working across multiple engagements, and succeeding in a remote, largely asynchronous environment.
Some examples of our projects:
Delivering GitLab installations and upgrades using tools like Terraform or Ansible, from simple deployments to highly available architectures
Leading migrations from existing systems to GitLab SaaS or self-managed GitLab, including planning, execution, and knowledge transfer
What you'll do
Deliver Professional Services engagements such as installation, migration, training, and advisory services to help customers achieve successful outcomes with GitLab, including completing projects on scope and on schedule.
Plan and execute GitLab deployments across a range of architectures, from single-node Omnibus installations to large reference architectures using infrastructure as code and configuration as code practices.
Oversee and perform migrations from multiple source systems to GitLab SaaS or self-managed GitLab, helping customers reduce risk, maintain momentum during change, and complete cutovers with minimal disruption.
Provide technical guidance across the GitLab feature stack, helping customers adopt best practices that fit their goals, constraints, and operating environment.
Partner closely with project managers and engagement managers by providing feedback and updates that improve delivery consistency, keep work on schedule, and reduce delivery issues across engagements.
Manage and deliver multiple customer projects at once, balancing customer outcomes with awareness of billable time and delivery priorities to meet utilization and delivery goals.
Mentor and assist other Professional Services Engineers by communicating expertise in specific technical areas and contributing to stronger, more repeatable delivery patterns.
Work closely with GitLab's product and engineering teams to remove blockers for customers and help improve GitLab features and delivery processes based on field insights, leading to faster issue resolution and more consistent delivery.
What you'll
bring
Professional experience with one or more infrastructure as code or configuration as code tools, such as Terraform, Ansible, Packer, Puppet, or Chef.
Experience with one or more infrastructure as code or configuration as code tools such as Terraform, Ansible, Packer, Puppet, or Chef.
Active Secrets or TS/SCI clearance is required for this role due to the nature of the customers you’ll support.
Occasional travel to SCIF sites as needed.
Desirable locations - DC Metro, GA, TX, AL, CO or UT
Due to government security requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to be eligible for this position
Ability to support public sector customers with TS/SCI clearance-related requirements for their environments and engagements.
Ability to lead technical delivery end-to-end, including discovery, planning, documentation, and knowledge transfer.
About the team
The Professional Services Engineer is part of GitLab's Professional Services organization, helping customers adopt GitLab successfully through installation, migration, training, and advisory engagements. The team works closely with Project Managers and customer stakeholders to deliver successful outcomes and help organizations expand how they use GitLab.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$136,080
—
$230,040 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
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Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams and customers
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Build and run tailored demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
WHAT YOU’LL BRING
- 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company
- Strong Python, JavaScript and systems fundamentals
- Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams
- Excited to work directly with customers during POCs, architecture reviews, and technical evaluations
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about shipping AI agents in production
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $160,000-185,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Director, Engineering
Location: Remote US, Only
Compensation:
$165,000 to $190,000 base plus bonus and equity
What You’ll Do:
Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled.
This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry.
This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments where attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person.
As a Senior Software Engineer on the Agentic SOC team, you’ll build and ship core parts of this system. You’ll work closely with the team’s technical leads, SOC analysts, product researchers, and product managers. You’ll own significant pieces end-to-end, from an ambiguous problem to a production feature you can show is working.
We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly.
Responsibilities:
Build the investigation system. You design, build, and ship the components that make agentic investigation work: the tools agents use to query telemetry, the logic that drives an investigation, and the structured, evidence-backed output that analysts and customers see.
Turn analyst expertise into agent behavior. You sit with SOC analysts and product researchers to understand how they triage and investigate a given kind of Signal, then encode that into what the agent looks for, what it gathers, and how it explains its conclusions.
Take toil off analysts’ plates. You build LLM-powered features that pre-process the output of tools analysts use every day. They summarize, correlate, and highlight what matters, so analysts spend their time on judgment instead of assembly.
Measure what you ship. You build and extend the evaluations that tell us whether the system is getting better or worse, and you back your changes with evidence rather than a handful of good-looking examples.
Build with a security mindset. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You think about how what you build could be misused or manipulated, and you design for it.
Build for production. You write reliable, observable, cost-conscious code that behaves well when models are slow, wrong, or unavailable. You operate what you build and help keep the system healthy as new detections and products come online.
Collaborate and raise the bar. You give thoughtful code reviews, help teammates get unstuck, share what you learn about building with LLMs, and contribute to technical discussions and design reviews with clear reasoning about tradeoffs.
Balance rigor with pragmatism. You know when to prototype quickly to learn something and when to slow down because the cost of being wrong is high.
What You Bring To The Team:
6+ years of professional software development experience, including building and operating production backend systems
Experience building applications with LLMs, including tool use, structured output, prompt and context design, and evaluation. Experience shipping agents to production is a strong plus
An understanding of how LLM-based systems fail, and good habits for testing and debugging non-deterministic behavior
Solid backend fundamentals, including APIs, background jobs and queues, concurrency, relational databases such as Postgres, and data stores such as Redis
Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails. Prior Rails experience isn’t required, and we expect you to become fluent in it
Security awareness: you think about untrusted input, access control, and keeping one customer’s data separate from another’s
Curiosity about how security analysts think and work, and a willingness to spend real time learning from them
Experience with AWS, Azure, or other public cloud environments
Experience with AI coding tools, such as Claude Code
BS or MS in Computer Science or Engineering, or equivalent experience
Bonus Points:
Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate
Familiarity with endpoint, identity, and Microsoft 365 telemetry and with attacker tradecraft (e.g., MITRE ATT&CK)
Experience building evaluation pipelines or datasets for ML or LLM systems
Experience with Ruby on Rails
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
#BI-REMOTE
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Требования:
— Коммерческий опыт работы DevOps Engineer — от 4 лет;
— Сильные знания Linux и системного администрирования;
— Опыт эксплуатации production-систем и решения инфраструктурных проблем;
— Практический опыт сопровождения Go-сервисов в production (deployment, мониторинг, troubleshooting);
— Разработка на Go не требуется;
— Коммерческий опыт работы с blockchain-инфраструктурой, желательно с blockchain nodes;
— Опыт работы с Docker, Kubernetes, CI/CD и Infrastructure as Code;
— Знание сетевых протоколов TCP/IP, DNS, HTTP/HTTPS, TLS;
— Опыт настройки мониторинга и логирования (Grafana, Kibana);
— Навыки Bash или Python.
Будет плюсом: PostgreSQL, Redis, NATS, Vault, KMS/HSM, Helm, Terraform, Ansible, fintech.
Задачи:
— Поддержка production-, staging- и development-инфраструктуры;
— Администрирование Kubernetes-кластеров и контейнеризированных приложений;
— Развитие CI/CD и Infrastructure as Code;
— Настройка мониторинга, логирования и алертинга;
— Сопровождение Go-сервисов и blockchain-инфраструктуры;
— Расследование production-инцидентов и устранение неисправностей;
— Обеспечение отказоустойчивости, backup/restore и безопасности;
— Документирование изменений и эксплуатационных процедур.
Условия:
— Гибридный формат работы в Минске;
— Полная занятость;
— Оформление напрямую в штат;
— Долгосрочный проект.
Location: Remote
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior CX Platform Engineer, you'll help GitLab's Customer Experience (CX) teams hand real work to artificial intelligence (AI). You'll use Claude Code and GitLab Duo Agent Platform as your default development tools, designing agentic workflows and Model Context Protocol (MCP) servers with production testing, security, and shared ownership. This is a software engineering role, not ticket-taking internal IT, AI evangelism disconnected from shipped code, or customer-billable Professional Services delivery.
What you'll do
Use Claude Code, GitLab Duo, and other coding agents as your primary development environment for planning, implementation, refactoring, testing, reviews, and documentation. Run multiple agents in parallel on well-scoped tasks, critically review their output, and own every line that reaches production.
Build and maintain the team's agent harness, including shared AGENTS.md conventions, skills, slash commands, hooks, subagent definitions, and continuous integration checks. Measure and share what works, publish reusable patterns, and retire those that don't.
Ship agents and multi-step workflows for account research, success planning, scoping, status reporting, and customer onboarding. Package them as skills and plugins for non-engineers using Claude, Claude in Slack, and GitLab Duo Agent Platform.
Build MCP servers and connectors for governed access to GitLab, Salesforce, Gainsight, Kantata, Thought Industries, Gong, Snowflake, and other enterprise systems. Add evaluations, tracing, and human-in-the-loop checkpoints to keep internal and customer-facing agents measurable, auditable, and safe with customer data.
Evolve the CX Application Platform's gateway, Amazon Web Services (AWS) infrastructure, including Elastic Container Service (ECS), Relational Database Service (RDS), and Lambda, Terraform configuration, application scaffold, and deployment path. Own applications such as PS Compass, Congregate, and GitLab University and its integrations, documenting build-versus-buy and consolidate-or-sunset decisions.
Ship production-quality Python and TypeScript through GitLab continuous integration and continuous delivery (CI/CD), with tests, observability, security review, and runbooks. Design every application for handoff, with documentation, monitoring, and shared ownership.
Prototype with Customer Success, Digital Success, Professional Services, Education Services, and Training in days, not quarters. Help CX team members bring their own applications to production, and turn field learning into reusable reference implementations, development paths, and enablement.
Contribute upstream to GitLab and share product feedback with Product and Engineering. Mentor engineers and non-engineers on agentic development and raise the team's code review bar.
What you'll bring
Experience building and operating production software, owning multi-quarter work from ambiguity to production, choosing reusable platform solutions over one-off customization where appropriate, and designing for handoff.
Daily, hands-on use of coding agents such as Claude Code, Cursor, Codex, GitLab Duo, or similar on production work. You can show how they've changed what you ship and how you maintain quality.
Experience building with large language models (LLMs) beyond chat, including tool use, MCP servers, agent loops, context and retrieval design, prompt and workflow design, and evaluations.
Strong Python skills with FastAPI or Flask and TypeScript skills with Vue or React, including application programming interface (API) design, authentication, authorization, and secure handling of customer and business data.
Hands-on experience with AWS ECS, RDS, and Lambda, Terraform, Docker, and applications running behind single sign-on (SSO), such as Okta.
Experience integrating enterprise systems through Representational State Transfer (REST) and GraphQL APIs, and fluency with Git, merge requests, and CI/CD.
Experience translating non-engineering stakeholders' workflows into technical plans and writing clear asynchronous design documents, decision records, and enablement materials. You align with GitLab's values and are willing to use GitLab for your own work.
Optional experience includes agent harness customization; the GitLab Development Kit, Duo Agent Platform custom agents and flows, or AI Catalog publishing; enterprise agent governance and data controls; customer success, professional services, or learning platforms such as Salesforce, Gainsight, Kantata, or Thought Industries; professional services economics and customer success metrics; Snowflake or similar warehouses; and technical writing, talks, or open source contributions on agentic development.
We welcome interest from candidates with varying levels of experience; you don't need to meet every nice-to-have to apply.
About the team
CX Platform Engineering builds and runs CX Applications for Customer Success, Digital Success, Professional Services, Education Services, and Training. We own the CX Application Platform's gateway and infrastructure alongside our application portfolio: GitLab University, the Foundational Onboarding Agent in GitLab Duo Agent Platform, Congregate, PS Compass, and Customer Wins. We build the first version with the people doing the work, turn what we learn into a reusable pattern, then hand it off so it runs without us. We reward leverage, not heroics, and don't leave tools dependent on one person.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$235,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Stockholm, Sweden; Wien, Austria; Lugano, Switzerland
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Keet is a fully peer-to-peer messaging and video calling app built on Holepunch's P2P stack. There are no servers, no middlemen, and no data harvesting. People talk directly to each other, with end-to-end encryption by design.
We're taking Keet to a billion users, competing head-on with WhatsApp and Telegram. Product sets the direction. We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up at global scale.
You lead the teams that build Keet's features: the API team, which adds feature-focused APIs to Keet's core, and the frontend team, which builds the React app on top, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar. The split is roughly 70% engineering leadership and 30% product.
You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for distributed, local-first systems, so you can work fluently on top of a P2P engine without needing to build it yourself.
Responsabilities
Engineering
Run the API and frontend teams day to day: unblocking, reviewing, and keeping them shipping.
Set and hold a high engineering bar for performance, reliability, and clean APIs.
Own the technical design of features and the API surface between Keet's core and the app.
Make sure the API team works closely with our deep tech teams on code reviews, design, and anything that touches the engine.
Product Partnership
Work alongside Keet's product managers to turn vision and roadmap into scoped, buildable work.
Push back when scope and reality don't match, and propose better paths when they exist.
Bring an engineering perspective to product decisions, especially where P2P opens doors that centralized apps can't.
Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them.
Leadership
Create clarity around team goals and make sure everyone knows what success looks like.
Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.
Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it.
Experience managing engineers or engineering leads who ship consumer product, ideally in chat, calling, or social apps.
Strong product sense: you can tell a good feature from a busy one.
Intuition for distributed and local-first systems. Offline-first and eventual consistency should feel natural. You don't need P2P protocol expertise, because our core abstracts it away.
Deep JavaScript and React.
Initiative, curiosity, resilience, and the ability to give and receive direct critique.
Bonus: experience with local-first apps, CRDTs or sync engines, offline-capable mobile or desktop apps, or open source.
Location: Dublin, IE
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale.
Key responsibilities
Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person
Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
Handle escalations that need cross-team coordination
Join an on-call rotation for urgent issues outside business hours
Provide hands-on support for user technology, AV systems, conference rooms, and printers
Communicate clearly with users at every technical level
Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles
Spot patterns in support requests, surface recurring issues, and flag opportunities to automate
Help streamline onboarding and other high-volume operations as we scale
Contribute to automation efforts
Maintain and improve device management, identity, and access systems
Write scripts (Bash, Python) to automate repetitive tasks
Minimum qualifications
Hands-on IT support experience, ideally in a fast-paced environment
Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android
Experience with Google Workspace administration
Experience with Slack administration, including workspace management, permissions, and troubleshooting
Experience supporting and administering other SaaS tools
Understanding of identity and access fundamentals: SSO, MFA, directory services
Familiarity with MDM fundamentals and endpoint management concepts
Basic scripting (Bash or Python) for automation
Strong troubleshooting skills, with a methodical and persistent approach
Clear communicator who enjoys helping people solve problems
Take ownership of problems and follow through until they're resolved
Preferred qualifications
Familiarity with zero-trust security concepts and endpoint security tooling
Networking basics: DNS, DHCP, VPNs
Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns
Experience using AI tools to improve personal or team productivity
Interest in developing deeper technical skills and taking on more complex systems administration over time
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€125.000
—
€165.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Requirements - Currently has, or is in the process of obtaining, a Bachelor's degree in Electrical Engineering, Computer Engineering or related engineering fields.
Location: Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
As a Senior Backend Engineer, you will design, implement, and evolve product capabilities while solving high-scope backend problems and influencing the technical and product direction of our teams. You will move beyond "assigned work" to actively improve the quality, reliability, and performance of our systems. You will work across product, frontend, infrastructure, data, and security boundaries, making sound architectural trade-offs, communicating complex ideas clearly in an asynchronous environment, and helping define the standards for a high-scale, global product.
Why you’ll love this role
High Impact:
You aren't just shipping features; you are shaping the architecture of a global platform used by millions.
Technical Agency:
You will influence team objectives, technical direction, and long-range goals, helping us solve problems of high scope and complexity.
Innovative Culture:
You will get to experiment with and integrate agentic AI into production engineering workflows, moving beyond simple prompt engineering to build resilient, AI-assisted systems.
Autonomy:
You will thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
User-Centric Collaboration:
You’ll partner closely with PMs and designers to shape requirements, ensuring every technical decision delivers genuine value to our users.
What you’ll do
Drive Technical Direction:
Design and ship moderate to complex backend features with minimal guidance, making pragmatic choices between modular-monolith code, shared components, or independently operated services.
Raise the Bar:
Advocate for product quality, security, availability, and performance. You will define backend standards for style, maintainability, testing, APIs, and operational readiness.
Mentor & Lead:
Mentor associate and intermediate engineers, remove technical blockers, and improve team delivery practices through code and design reviews.
Operational Excellence:
Diagnose and prevent performance/reliability issues at scale. Participate in incident response and act as a technical owner where appropriate.
AI Integration:
Use AI in production engineering work to improve outcomes, evaluate its effectiveness, and coach others on responsible, high-judgment use.
What you’ll bring
Deep Backend Expertise:
A strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment.
Adaptability:
Proficiency in modern backend languages and a deep understanding of systems programming. We value the ability to learn and adapt over mastery of a single language.
Architectural Judgment:
Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures.
Influence:
Ability to lead through influence, technical judgment, and clear written communication, effectively bridging the gap between product needs and technical reality.
Agentic AI Expertise:
Proven experience building or operating agentic systems in production—moving beyond prompt engineering to architecting loops, tool-use, and error-handling strategies that ensure reliability at scale.
Remote-Global
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring an Electrical Engineer II to help advance the performance, reliability, and scalability of WHOOP wearable technology and supporting hardware. As a member of the Hardware Engineering team, you will play a hands-on role in designing, testing, characterizing, debugging, and improving electrical systems throughout the product lifecycle, from early development and prototyping through high-volume production and continuous improvement. You will work closely with Electrical, Mechanical, Firmware, Manufacturing, Quality, and Supply Chain teams to investigate complex technical challenges, develop and validate robust solutions, and drive improvements in product performance, quality, reliability, and manufacturability.
RESPONSIBILITIES:
- Design, test, characterize, debug, and optimize low-power, mixed-signal electronic circuits and systems across new product development and continuous improvement initiatives
- Contribute to schematic design, component selection, PCB development, hardware prototyping, board bring-up, and design iteration to improve system performance, robustness, and manufacturability
- Develop and execute electrical experiments, characterization plans, and validation testing to understand system behavior, investigate failures, identify root causes, and guide engineering decisions
- Analyze test data and troubleshoot electrical issues to drive improvements in circuit performance, power consumption, signal integrity, reliability, production yield, and cost
- Collaborate across Electrical, Mechanical, Firmware, Manufacturing, Quality, and Supply Chain teams, as well as with suppliers and contract manufacturers, to resolve technical challenges and implement robust hardware solutions
- Support hardware through design verification, validation, new product introduction (NPI), and ongoing production, including engineering change orders (ECOs) and design improvements; travel up to 15% domestically and internationally to collaborate with partners and suppliers
QUALIFICATIONS:
- Bachelor's degree in Electrical Engineering or a related technical field, or equivalent practical experience
- 3+ years of relevant electrical engineering experience designing, developing, testing, debugging, or supporting electronic hardware
- Strong understanding of electrical engineering fundamentals, including analog and digital circuit design, power management, signal integrity, component fundamentals, and common communication interfaces
- Hands-on experience designing, prototyping, testing, characterizing, and debugging electrical circuits and systems using standard laboratory equipment
- Experience reading and developing schematics and working with ECAD tools such as Altium or equivalent
- Experience with hardware development, validation, or production support, including exposure to design verification, failure analysis, design iteration, or manufacturing processes
- Strong analytical and problem-solving skills, with the ability to use data, experimentation, and cross-functional collaboration to investigate complex technical problems and drive effective solutions
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $110,000 - $150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Задачи:
• Проектирование, масштабирование и автоматизация инфраструктуры сред Prod/Stage/Test через IaC (Terraform, Ansible);
• Развитие и поддержка кластеров Kubernetes и Docker;
• Развитие пайплайнов в GitLab CI/CD для ускорения доставки кода;
• Развитие мониторинга, логов и алертинга с использованием Grafana, Loki, Sentry;
• Расследование production-сбоев, разбор причин, повышение отказоустойчивости;
• Внедрение DevOps-стандартов, инфраструктурное ревью, помощь разработчикам.
Требования:
• Опыт от 4 лет в роли DevOps / SRE;
• Уверенные знания Linux, Docker, Kubernetes;
• Практический опыт с GitLab CI, Terraform и Ansible;
• Опыт работы с мониторингом Grafana, Loki, Sentry;
• Умение расследовать инциденты и выстраивать отказоустойчивую архитектуру.
Будет плюсом:
• Опыт в Highload / Fintech проектах;
• Знание практик SRE (SLI/SLO, error budget);
• Знание Python, Go или Bash;
• Опыт менторинга или техлидства.
Условия:
• Официальное оформление по ТК РФ, полностью «белая» зарплата;
• Наличие IT-аккредитации (IT-ипотека, отсрочка);
• ДМС после завершения испытательного срока;
• Возможность напрямую влиять на технические решения и развитие инфраструктуры.
Location: Sainte-Anne-de-Bellevue, Canada
📍
Location:
Sainte-Anne-de-Bellevue, QC, Canada
📄
Employment Type:
Full-Time
🏢
Work Arrangement:
Remote available for U.S. and Canadian Citizens
🚀
Start Date:
TBD
💰
Compensation:
TBD — based on skills and experience
Remote & Relocation Opportunities
U.S. and Canadian Citizens:
Remote work arrangement available.
UK and European Candidates:
Relocation assistance/allowance and a
relocation bonus
are available for qualified candidates willing to relocate to Canada.
Candidates should be prepared to support collaboration across multidisciplinary spacecraft engineering teams.
Important Screening Requirements
Bachelor’s degree in
Electrical Engineering, Aerospace Engineering, Physics, or a related field
.
8+ years of Electrical Power System (EPS) design experience
on LEO/MEO satellite platforms.
Deep knowledge of
spacecraft bus subsystems and their interactions
.
Experience with
power electronics design and power management hardware
.
Strong understanding of aerospace systems engineering fundamentals.
Hands-on experience supporting
systems integration, testing, and troubleshooting
.
Experience with
Confluence and JIRA
.
Ability to work effectively with limited supervision.
Strong analytical and problem-solving skills.
Excellent written and oral communication skills in English.
French is an asset.
About the Role
We are seeking an experienced
Satellite Electrical Power System (EPS) Design Engineer
to support the concept, detailed design, analysis, verification, and integration of electrical power subsystems for current and next-generation
remote sensing and communications satellites
.
The role focuses on the design and development of
solar arrays, power-conditioning units, batteries, power distribution, and regulation systems
, while working closely with multidisciplinary teams across payload, spacecraft bus, thermal, structural, avionics, and mission systems.
The successful candidate will contribute to the development of reliable, high-performance EPS solutions throughout the spacecraft lifecycle, from early architecture and trade studies through integration, launch, and on-orbit operations.
What We’re Looking For
We’re looking for a
senior spacecraft electrical power systems engineer
with strong experience designing and integrating EPS architectures for satellite platforms.
The ideal candidate can work across the full EPS lifecycle, from
power architecture and trade studies through detailed design, modeling, verification, spacecraft integration, launch, and on-orbit support
.
Strong candidates will combine deep power electronics and spacecraft EPS expertise with hands-on systems integration, analytical problem-solving, and the ability to work effectively across multidisciplinary engineering teams.
Key Responsibilities
Architecture & Requirements
Define EPS architectures covering
power generation, energy storage, and distribution
while meeting mission power, mass, volume, and reliability requirements.
Perform architecture and technology trade studies involving:
Solar cell technologies
Battery chemistries
Regulator topologies
Develop system requirements and functional flow block diagrams.
Develop and maintain
Interface Control Documents (ICDs)
and design descriptions.
Manage requirements and maintain bidirectional traceability throughout the program lifecycle.
Detailed Design & Analysis
Size and evaluate:
Solar arrays
Power-conditioning units
Battery packs
Power distribution units
Build and validate high-fidelity electrical models for spacecraft operating modes.
Perform
FMECA and fault-detection analysis
.
Develop and maintain power budget models.
Perform load-flow and thermal-power coupling analyses.
Conduct survivability analyses for:
Eclipse operations
Safe mode
Fault-tolerant operation
Analyze EPS performance across different spacecraft mission phases and operating conditions.
Cross-Functional Coordination
Present technical status, risk analyses, and trade-study results to senior management.
Interface with spacecraft bus teams across:
Power
Thermal
Structures
Avionics
Develop and maintain high-fidelity power models for mission analysis, including:
Orbit raising
Station keeping
De-orbit
Develop tools supporting power efficiency and optimization.
Support
Phase 0 and pre-Phase A
activities.
Collaborate with multidisciplinary engineering teams throughout the spacecraft lifecycle.
Integration & Verification
Author
Verification Plans, Test Matrices, and Validation Procedures
for unit and EPS subsystem testing.
Support ground-test and integration campaigns.
Support:
Fueling activities
Thermal-vacuum testing
EMI/EMC testing
Spacecraft-level integration
Analyze test data and support anomaly resolution.
Close out anomalies and update design baselines.
Support flight software integration.
Technical Leadership & Mentorship
Mentor and guide junior and intermediate systems engineers and interns.
Lead or support multidisciplinary engineering activities.
Serve as a technical liaison with customers, partners, and external vendors.
Contribute to continuous improvement initiatives.
Contribute to engineering knowledge bases, processes, and standards development.
Configuration, Documentation & Standards
Maintain EPS design and safety standards.
Ensure engineering analyses, software, documentation, and deliverables are properly version controlled within the PLM environment.
Support spacecraft design reviews, including:
SRR
PDR
CDR
MRR/TRR
Support technology road-mapping and innovation activities.
Launch, On-Orbit & Operations Support
Support launch-site interface checklists with the responsible launch vehicle interface engineer.
Support pre-launch checkout procedures.
Support early-orbit checkout scripts.
Provide real-time EPS engineering support during:
Launch
On-orbit commissioning
Anomaly investigations
Contingency operations
Support
Satellite Operations Handbook (SOOH)
development and associated operator training.
Required Qualifications
Bachelor’s degree in
Electrical Engineering, Aerospace Engineering, Physics, or a related field
.
8+ years of EPS system design experience
on LEO/MEO satellite platforms.
Deep knowledge of spacecraft bus subsystems and their interactions.
Experience with power electronics design and power management hardware.
Strong understanding of aerospace systems engineering fundamentals.
Hands-on experience supporting
systems integration and testing
.
Strong troubleshooting and problem-solving capabilities.
Experience with
Confluence and JIRA
.
Ability to work efficiently with limited supervision.
Ability to break down complex technical problems and develop practical solutions.
Excellent written and oral communication skills in English.
Preferred Qualifications
Experience designing EPS architectures for
remote sensing or communications satellites
.
Experience with solar array, battery, power-conditioning, and power-distribution systems.
Experience with
high-fidelity spacecraft power modeling
.
Experience with FMECA, fault detection, survivability analysis, and reliability engineering.
Experience supporting
thermal-vacuum, EMI/EMC, and spacecraft-level integration testing
.
Experience with mission-phase power analysis, including orbit raising, station keeping, eclipse, safe mode, and de-orbit.
Experience developing tools for power efficiency and optimization.
Experience supporting spacecraft
launch-site and on-orbit operations
.
Experience with spacecraft design reviews and lifecycle processes.
French language skills are an asset.
Location: Palo Alto, CA or Seattle, WA
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.
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THE ROLE
As agents take on bigger jobs, the infrastructure around them matters more. Docker's answer is to give every agent a strong boundary, make its environment and authority reproducible, and let the work run where it makes sense, from a developer's laptop to the cloud. The Docker AI Substrate team brings that foundation to the enterprise: the largest companies in the world, running agents at scale, with the security, reliability, and control they expect from any critical system. We are a small, senior team at the start of that work. As a Staff Software Engineer here, you will shape the architecture, build the core systems, and run what you build.
Locations: Seattle, WA or Palo Alto, CA.
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RESPONSIBILITIES
- Design and build the systems that deploy, release, and operate Docker's agentic platform for enterprise customers, in Go and on Kubernetes.
- Make the platform run consistently across cloud providers and environments, with the security, identity, and network boundaries enterprises require.
- Own the release and supply chain path so every deployment is reproducible, verifiable, and trusted.
- Run what you build: production ownership, on-call, SLOs, incident response, and the operational tooling that keeps it boring.
- Set technical direction with the team's architect and engineering leadership, and work with partner teams across runtime, developer experience, identity, and observability.
- Raise the bar through design review, testing discipline, and mentorship as the team grows.
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QUALIFICATIONS
REQUIRED
- You have built and operated a cloud control and management plane. Software that provisions, upgrades, and watches infrastructure for many tenants or environments, in production, with a pager. Experience at a cloud provider, a managed-service vendor, or a platform team that stamps out environments.
- Kubernetes beyond deployment. You have written controllers or operators, understand reconciliation and CRDs, and know why declarative beats imperative at fleet scale.
- Deep in at least one major cloud. Hands-on with compute, networking, identity, and managed services, and able to pick up a second cloud fast.
- Production ownership. On-call, incident response, SLOs, post-mortems. You run what you build.
- Distributed systems design. Fault tolerance, consistency, observability, idempotent reconciliation.
- Go. Professional proficiency. Docker's backend and all of this team's code is Go.
- 10+ years of professional software engineering in infrastructure, platform, or cloud services, with the judgment to set direction for others.
STRONGLY PREFERRED
- Kubernetes resource orchestration and cloud controllers, such as KRO.
- Release engineering and software supply chain: OCI registries, digests, license compliance.
- Private connectivity between cloud accounts: PrivateLink, VPC peering, service endpoints, egress policy.
- OpenTelemetry pipelines with multiple destinations.
- Building managed services.
- Firecracker, microVMs, or other isolated execution environments for untrusted code.
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
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COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $170,350 – $275,550 base
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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
Чем предстоит заниматься — участвовать в обеспечении качества продукта на всех этапах разработки и релизного процесса; — тестировать frontend и backend;
Роль включает тестирование, координацию подгруппы, наставничество и участие в приёмочных испытаниях. Требования: Базовые знания в области тестирования и от 3 лет опыта функционального тестирования веб-приложений и проверки документации.
УдалённоmiddleГеография найма не уточнена
JКомпания не указана
59
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
- Разработка и улучшение пайплайна LLM post-training: SFT, preference optimization, Offline / Online RL; - Улучшение instruction following и построение системы benchmarking / evaluation;
География найма не уточнена
УдалённоseniorRemote, United States; Senior Professional Services Engineer - PubSec - US Only; The base salary range for this role’s listed level is currently for residents of the United States only
ОфисSan Francisco, CA
seniorГеография найма не уточнена
УдалённоseniorСША; The base salary range for this role’s listed level is currently for residents of the United States only