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Location: Canada; San Francisco; United States; New York; Ottawa; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? This role is for a highly experienced Back-End Software Engineer who wants to work on core systems that shape how the platform (Model Vault) operates. You will help define the architecture of the platform where reliability, security, performance, and simplicity all matter, and where many of the problems do not have off-the-shelf solutions. Model Vault is Cohere’s inference platform for deploying and operating models securely at enterprise scale. The team owns the systems between a customer and the underlying AI infrastructure, including identity, deployments, metering, billing, security, privacy, and confidential computing. We are strengthening these systems as Model Vault grows, with the goal of scaling to millions of users and supporting some of the world’s most demanding enterprise workloads. AS A SENIOR/STAFF SOFTWARE ENGINEER, YOU WILL: - Evolve and scale the backend systems that power Model Vault, including authentication and authorization, deployment management, billing, metering, and customer lifecycle. - Lead major architectural initiatives across identity, payments, usage systems, platform scalability, and other core product foundations. - Build highly reliable control-plane services for provisioning, configuring, scaling, and operating model deployments across clouds and hardware platforms. - Design APIs and distributed systems with strong guarantees around correctness, consistency, isolation, failure recovery, idempotency, and observability. - Build security and privacy into the platform architecture, including tenant isolation, least-privilege access, auditability, secrets management, encryption, and confidential computing boundaries. - Solve complex problems that span backend systems, cloud infrastructure, security, and AI inference, where conventional SaaS patterns are often not enough. - Drive projects end-to-end, from architecture and threat modeling through implementation, rollout, production operations, and iteration based on real customer workloads. YOU MAY BE A GOOD FIT IF: - You are a strong backend engineer with excellent fundamentals in distributed systems, databases, networking, operating systems, and security. - You have strong programming fundamentals and experience building production systems in languages such as Go, Python, Java, C++, Rust, or similar. You write clean, maintainable, well-tested code and make thoughtful tradeoffs between simplicity, performance, and correctness. - You have designed and operated production systems where correctness, availability, security, and performance mattered at significant scale. - You can take ambiguous, high-impact technical problems, define the right architecture, and drive them through to reliable production systems. - You have strong systems-design instincts and understand concepts such as concurrency, consistency, caching, queues, rate limiting, backpressure, failure domains, idempotency, and graceful degradation. - You think deeply about security boundaries and understand authentication, authorization, identity, cryptography, secrets, tenant isolation, and how small implementation choices can create significant security risks. - You are comfortable reasoning across backend services, APIs, databases, distributed systems, and the cloud infrastructure they run on. - You are comfortable diving into unfamiliar codebases and debugging complex problems that cross service or system boundaries. - You care about the details of production engineering, including instrumentation, capacity planning, migrations, backwards compatibility, incident response, and safe rollouts. - You are comfortable challenging existing architecture and evolving foundational components when the system’s needs change. - You have a track record of taking technically difficult projects from an unclear starting point to systems that other engineers and customers depend on. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

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Развертывание и поддержка платформ виртуализации от сетапа серверов до развёртывания кластера виртуализации. Администрирование распределенных хранилищ SDS.

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• Проектировать, масштабировать и автоматизировать среды (Prod/Stage/Test) через IaC (Terraform, Ansible); • Развивать и поддерживать кластеры Kubernetes и Docker;

от 350 000 ₽

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE Supabase manages millions of Postgres instances and is growing. We have strong teams across observability, release engineering, and incident management — and we're concentrating our reliability efforts into a dedicated SRE practice that ties the discipline together across the platform. You'll be embedded within Service Operations, and your primary job is to make every engineering team more reliable — not by owning their infrastructure, but by establishing the practices, frameworks, and feedback loops that let them own reliability themselves. You'll work across the org: sometimes setting the standard, sometimes pair-programming a fix, sometimes helping a team define their error budget, sometimes telling them it's exhausted. This role is ideal for someone who has a strong vision for how SRE should work and thrives in async, fast-paced environments where influence matters more than authority. WHAT YOU'LL OWN - Partner with service teams to define meaningful SLIs and SLOs grounded in customer experience, and build the error budget policies that turn them into engineering decisions - Own and evolve the Operational Readiness Review (ORR) process — conducting reviews for new services and major changes across observability, alerting, runbooks, capacity, and graceful degradation - Strengthen the incident-to-improvement pipeline: connecting postmortem findings to operational readiness gaps, identifying repeat failure patterns, and driving systemic fixes - Act as the reliability expert teams pull in for architecture reviews, failure mode analysis, dependency mapping, and resilience design - Identify and quantify operational toil across the org, and build or advocate for automation that eliminates it - Help teams design sustainable on-call practices: alert quality, escalation paths, runbook coverage, and noise reduction - Track and report on org-wide operational maturity, surfacing systemic gaps and driving remediation YOU MIGHT BE A GOOD FIT IF YOU - Have 7+ years of experience in SRE, production engineering, or reliability-focused roles, including experience shaping SRE practices and driving adoption across engineering teams - Have a software engineering mindset — you write code and build tools, not just configure them - Have hands-on experience defining and operationalizing SLOs/SLIs at scale, including error budget policies that actually influenced engineering decisions - Have deep experience with incident response, postmortem facilitation, and turning incident learnings into systemic improvements - Have worked with large-scale multi-tenant systems (bonus: managed database platforms or Postgres) - Are proficient with cloud infrastructure (AWS preferred) and infrastructure-as-code (Pulumi preferred, Terraform/CDK also acceptable) - Communicate clearly and persuasively — this role requires influencing without authority across a distributed org - Have experience in async or globally distributed teams - Are energized by making other teams more effective rather than being the one who fixes everything NICE TO HAVE - Experience with Kubernetes-based platform operations - Familiarity with OpenTelemetry, VictoriaMetrics, Grafana, or similar observability tooling - Experience building developer-facing reliability tooling (SLO dashboards, ORR frameworks, toil tracking, DORA metrics) WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

-Проектирование, разработка и поддержка фреймворка и библиотек для автоматизации тестирования. -Разработка инструментов автоматизации установки и настройки продукта под разные среды выполнения.

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- Берёт ответственность за качество крупного модуля или продукта, в том числе при неполных и неоднозначных требованиях. - Глубокий опыт тестирования сложных web/backend/API и интеграционных систем, включая работу с неполными или неоднозначными требованиями.

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Проектирование и реализация REST API, проработка контрактов, версионирование API и интеграций. Работа с данными: проектирование схемы, оптимизация запросов, миграции в MS SQL Server / PostgreSQL (EF Core, Dapper).

180 000 – 280 000 ₽

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE At Sentry, Support is an engineering discipline. Our customers are developers, and they expect answers from people who can read their stack trace, open the SDK source, and tell them what's actually wrong. We're hiring a Senior Manager to lead Support Engineering. You'll run the team that handles everything from a single developer's SDK question to a production incident at one of our largest enterprise customers. You'll also help drive how we use AI in support: what systems are used, how they best help customers, enable the teams, and how we know the answers they give are right and forward looking. This is a hands-on leadership role. You'll manage people, set the support strategy, get face to face time with customers, while also getting into tickets when it matters. IN THIS ROLE YOU WILL Lead and grow the team - Manage and coach a team of Technical Support Engineers - Set clear expectations for technical depth, response quality, and ownership, and give direct feedback - Design a coverage model that works across time zones, including on-call and escalation paths - Build career paths for Support Engineers who want to go deeper technically, move into management, or move into different teams and practices Own support outcomes - Own and report the team's core metrics: CX, time to resolution, escalation rate, and more - Use support conversations as a signal: find the top drivers of tickets and get them fixed in the product, the docs, internal operations, or the SDKs, not just answered faster Run AI-assisted support - Own the roadmap for our support agents: which request types they handle, what context they need, and when they hand off to a person - Set the quality bar for agent answers and the process for catching incomplete ones - Decide where automation is worth building and where it isn't, based on data Handle escalations and partner across Sentry - Run the escalation process with Engineering: make sure bugs reach the right team with a reproduction and clear impact, and that customers hear back - Be the support lead on high-stakes enterprise issues, working with Customer Success, Solutions Engineering, and Sales - Bring a clear picture of customer pain to Product and Engineering, backed by numbers YOU'LL LOVE THIS JOB IF YOU - Think great support is an engineering problem, not a staffing problem - Want to build the team and the systems at the same time - Can debug a tricky SDK issue yourself and also explain to a VP why their incident took four hours - Would rather fix the cause of 200 tickets than answer them faster - Have strong opinions on where AI helps in support and where it makes things worse, and be willing to discuss this at length. QUALIFICATIONS - 8+ years in technical support, support engineering, or software engineering at a SaaS or developer tools company - 3+ years managing technical support engineers, including hiring and growing a team - Technically credible with senior engineers: comfortable reading code in at least a few of Python, JavaScript/TypeScript, Java, or Ruby, and debugging across frontend, backend, and infrastructure - Solid understanding of distributed systems, APIs, and how observability tools (errors, tracing, logs) fit into them - Hands-on experience running AI or automation in a support org, and a clear view of its failure modes - Track record of using support data to drive product and process changes - Clear, direct written communication with customers, executives, and engineers Bonus - Experience at a developer tools or observability company - Former software engineer - Managed a team spread across multiple time zones - Open source contributor or maintainer The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $160,000 to $180,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, CA; Seattle, WA; San Diego, CA; Los Angeles, 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. We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention. WHAT YOU'LL DO - Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates. - Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets. - Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles. - Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value. - Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers. - Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams. - Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey. - Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain. WHAT WE'RE LOOKING FOR - 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS. - A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention). - Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles. - Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus. - Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers. - A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform. - Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting. - Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment. (PREFERRED) - Direct experience at a high-growth, developer-first, or AI/ML infrastructure company. - Experience managing renewals in a consumption or usage-based pricing model. Location: US West Coast Compensation: - $230K OTE + equity 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.

Reap is looking for a Senior Software Engineer Treasury to design and operate reliable global money-movement systems for fiat and stablecoins.

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Location: Amsterdam 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 ROLE We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. WHAT YOU’LL DO - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies WHAT YOU'LL BRING - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation - Annual salary range: $225,000-$350,000 OTE 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: London 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 ROLE: We’re hiring a Manager - Sales Development Representatives (SDR) (London) - EMEA to lead and scale our founding EMEA SDR team at LangChain. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. WHAT YOU'LL DO: - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel HOW TO BE SUCCESSFUL IN THIS ROLE: - Have 5+ years of experience in sales development - Have 1–3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills 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: 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: You'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it. We design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next. ABOUT THE ROLE: You'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale. This is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates. You'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan. You won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct. Location: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph. WHAT YOU'LL OWN: Carry multi-quarter programs - Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption. - Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs. - Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets. Own what gets specified and what ships - Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation. - Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off. - Run vendor evaluations when the right answer is buy, integrate, or replace rather than build. Protect revenue data integrity - Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them. - Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions. - Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production. WHAT SUCCESS LOOKS LIKE: In your first 6–12 months, you might: - Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field. - Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale. - Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation. - Establish a specification and UAT standard that engineers and AI agents can reliably build against. - Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution. WHAT YOU'LL NEED TO BE SUCCESSFUL: SYSTEMS AND DOMAIN DEPTH - Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout. - Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene. - Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes. - Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code. PROGRAM LEADERSHIP - Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day. - Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release. - Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality. - Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative. JUDGMENT AND COMMUNICATION - One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec. - Maximum agency — you find the friction and start the project. You don't wait for a ticket. - AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way. - Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it. STRONG SIGNALS: None of these is a screen; any one makes you useful faster. - You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign. - You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved. - You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break. - You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation. - You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it. Annual salary range: $180-200k 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: San Francisco, CA; 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 looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools. As a Senior Engineer you will design, build, and operate: AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn. RESPONSIBILITIES Building and Operating AI Developer Tools - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards - Build systems that help Docker's engineers adopt AI-native development tools - Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction Self-Service Platform - Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster - Help reduce time-to-production for new products from weeks to days - Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response Design and Delivery - Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions - Write clear design documents for the work you own, and participate in design reviews for the team - Review code thoroughly and share what you learn with the rest of the team - Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier - Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship Collaboration and Growth - Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work - Partner with Infrastructure, Security, and Data teams on integrations and shared standards - Help newer engineers get up to speed on the team's tools, patterns, and practices - Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team QUALIFICATIONS REQUIRED - 6+ years of software engineering experience building and operating production systems - Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Experience building and operating scalable backend services, distributed systems, or developer-facing platforms - Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience building developer tools, platform systems, or internal tools that other engineers rely on - Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design - Clear written and spoken communication suited to a remote, async-first company - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable working autonomously in a distributed, remote-first team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability - Familiarity with security and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) WHAT TO EXPECT FIRST 30 DAYS - Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far - Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering - Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Shadow on-call and learn the operational profile of the team's services FIRST 90 DAYS - Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant - Write the design document for work you own and take part in team design reviews - Contribute to the self-service platform's deployment pipeline, observability integration, or security controls - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be a go-to engineer for one or more of the team's AI tools or platform components - Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to - Have helped teams outside AI Developer Tools build and run their own tools on the platform - Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + 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

Location: San Francisco, CA; 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 looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools. As a Staff Engineer you will own the technical design and delivery for two areas: AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team. RESPONSIBILITIES Technical Leadership and Architecture - Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap - Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions - Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt - Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools - Design reliable, scalable infrastructure for hosting AI agents and developer tools - Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit - Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals Systems Design and Implementation - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days - Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization - Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management - Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling Strategic Impact and Innovation - Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build - Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction - Improve AI tool performance, cost efficiency, and developer experience through architectural improvements - Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them - Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards Leadership and Mentorship - Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices - Lead design reviews and raise the quality of design and code reviews across the team - Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on - Help the team turn good individual AI-assisted engineering practice into shared workflows and controls - 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 - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale - Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Track record of designing and building scalable distributed systems and developer-facing platforms - Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience designing developer tools, platform systems, or internal tools that other teams rely on - Track record of clarifying requirements and constraints with stakeholders before committing to a design - Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority - Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs - Clear written and spoken communication suited to a remote, async-first company - Track record of mentoring other experienced engineers - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience evolving an internal platform or tool into a widely adopted, production-grade service - Knowledge of security, compliance, and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) WHAT TO EXPECT FIRST 30 DAYS - Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date - Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Get hands-on with the team's services and ship a useful production change - Shadow on-call and learn the operational profile of the team's services - Work with the Senior Manager to agree on initial technical priorities FIRST 90 DAYS - Lead the technical framing and delivery plan for one significant problem, from requirements through to production - Document the architecture, technology choices, and integration patterns for that work, including ADRs - Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant) - Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management - Lead design reviews for your area of the roadmap and begin mentoring other engineers - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker - Deliver at least one material outcome that spans multiple teams or systems - Have multiple production AI tools demonstrating value across Docker's engineering organization - Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction - Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact - Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people Docker considers sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $170,350 – $275,550 + 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

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is seeking a Senior Partner Solutions Engineer to join its high growth startup environment and help scale cloud partnerships, with a dedicated focus on joint go to market activities with Cloud Service Providers (CSP) including Amazon Web Services (AWS) and Google Cloud (GCP). The successful candidate will be instrumental in enabling partner success through education, enablement, direct engagement, support of events, and build content that helps our CSP’s position and demonstrate Grafana capabilities. What You’ll Be Doing: Partnering with Channel Sales and Field Sales to convey Grafana’s vision, value, and technical strategy to cloud partners Leading technical engagement with partners to drive deal progression and close opportunities Delivering product demos, technical presentations, and hands-on enablement sessions Develop and deliver training, onboarding, and ongoing education for solutions architects, and technical teams Represent Grafana Labs through technical presentations, live demos, webinars, conference sessions, and regional partner events Create reference architectures, demo environments, solution guides, and presentations that explain the value of Grafana Cloud alongside cloud provider services. Track partner readiness, reuse of technical assets, and progress of joint opportunities, and bring partner insights back to product and GTM teams Shaping and expanding the reach of Grafana Partner University across multiple partner personas Collaborating with internal teams to provide product and competitive feedback Support selling motions like Sell-To, Embedded, and PoweredBy, either directly or jointly with partners Run high impact workshops and 1:1 training to generate and progress pipeline Travelling up to 50% to support cloud partner events, workshops, and field activities What Makes You a Great Fit: Located: United States (Remote) 6+ years in pre-sales or solution architecture, ideally within the observability space Strong experience selling SaaS software across the NORAM region Proven use of MEDDIC or similar qualification frameworks Excellent communication and interpersonal skills, especially in remote, global teams Demonstrated ability to operate in a fast-paced, ambiguous, startup environment Strong judgement, leadership, and problem-solving abilities Passion for education, enablement, and helping others succeed technically Bonus Points For: Experience with CSP’s and a strong understanding of their core infrastructure services. Experience with cloud marketplaces, co-selling, or joint solution launches. Solid understanding of observability and cloud native tooling Background in OSS first companies Experience with Grafana, Prometheus, and Loki Hands-on experience deploying and operating Kubernetes Bachelor’s degree in CS, IT, Math, or related field (or equivalent experience) Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $204,000 - $244,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Компания Centicore занимается продуктовой разработкой проектов Заказчиков под ключ. Вакансия Senior DevOps с удалённым форматом работы (РФ) и зарплатой 300 000-400 000 рублей на руки. Требования: — Опыт работы от 4-5 лет в эксплуатации высоконагруженных распределённых ИТ-систем. — Отличные знания Kubernetes. — Практический опыт настройки сетевых фабрик и Service Mesh (например, Istio, Linkerd). — Опыт развертывания, оптимизации и масштабирования open-source компонентов Observability: сборщики и CDC (Vector, Debezium, OpenTelemetry Collector). — Опыт работы с брокерами Apache Kafka (настройка кластеров, тюнинг партиций, управление квотами, обеспечение отказоустойчивости). — Навыки администрирования, горизонтального масштабирования и резервного копирования баз данных (реляционных и аналитических/временных рядов): VictoriaMetrics, ClickHouse, Elasticsearch. — Уверенное владение инструментами Infrastructure as Code (Terraform / OpenTofu, Ansible). — Опыт построения CI/CD пайплайнов (GitLab CI, ArgoCD). — Уверенное владение Bash/Shell. — Хорошие навыки автоматизации рутинных задач на Python или Go. Условия: — Удалённый формат работы в IT аккредитованной компании. — Длительный проект. — Оплачиваемый отпуск 28 календарных дней в год и оплачиваемые больничные. — Предоставление техники (MAC, Windows). — ДМС со стоматологией. — Компенсация хобби/спортзала/английского языка. — Компенсация профессионального обучения. — Возможность участия во внутренних программах компании и активностях, например, в реферальной программе «приведи друга». — Онлайн и оффлайн корпоративные мероприятия (йога, шахматы, покер, квиз, марафон, CS2 и др.). — Программа лояльности Сентибонусы за проявление активностей, стаж работы и др.. — Оформление по ТК.

300 000 – 400 000 ₽

Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load. Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards. This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.   THE OPPORTUNITY - Design and build the infrastructure layer powering AI agent systems in production - Develop high-performance Rust services that handle model inference, orchestration, and execution - Architect scalable systems capable of supporting millions of users and high request throughput - Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring - Define guardrails, observability, and failure handling for agent-driven workflows - Optimize latency, throughput, and cost across inference and orchestration layers - Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems - Contribute to foundational infrastructure decisions in a high-scale, high-impact environment   WHAT YOU BRING - 5+ years of experience building and operating high-scale production systems - Strong proficiency in Rust and systems-level programming - Deep understanding of distributed systems, reliability engineering, and performance optimization - Experience operating services serving millions of users or high-throughput workloads - Familiarity with ML infrastructure, model serving, or MLOps in production environments - Experience designing observability, monitoring, and failure recovery systems - Strong collaboration skills working across infrastructure and applied engineering teams - High ownership mindset in high-stakes production environment   NICE TO HAVES - Experience building infrastructure for agent-based or LLM-powered systems - Background in high-performance networking, async systems, or low-latency architectures - Experience with container orchestration and cloud-native infrastructure - Familiarity with evaluation frameworks and model performance monitoring at scale - Experience working in fast-moving 0→1 or platform-building teams Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice