Design and deploy autonomous and multi-agent orchestration workflows capable of executing complex, multi-step enterprise processes. Implement structured tool-use frameworks and integrate external APIs and services using protocols such as Model Context Protocol (MCP).
УдалённоСША; This position is remote within the US (East Coast time zone slightly preferred) with minimal travel required; Location: Based in the US (East Coast time zone slightly preferred)
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As a Senior Software Engineer, you'll be a key technical leader, driving the design, development, and maintenance of our core backend services. ● Lead System Architecture: Spearhead the architectural design of backend systems, ensuring they are secure, reliable, high-performance, and align with our long-term technical vision.
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Обязанности: Преимущественно ручное тестирование новой информационно-аналитической системы (портал, отчетность и др.), WEB и RESTful API. Поиск ошибок и контроль их исправления.
Location: San Francisco; New York; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
AI is being built by many companies at once. Model labs train more capable models, hyperscalers provide infrastructure and distribution, developers build new AI products, and a growing set of tools gives agents more to work with. Baseten sits at the center of all of it, as the inference platform that developers and large companies use to run AI in production.
We’re hiring a backend/distributed systems engineer to join our Product Platform in following areas:
- Commercialization, billing, and partnerships
- Developer productivity and agentic development
- Observability platform
Please come join our growing team to work on exciting problems. A few sample projects and responsibilities will include
- Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure
- Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth
- Build world class commercialization and billing systems
- Work on some of the most strategic and exciting partnership integrations
- Develop internal infrastructure and tooling that improves developer velocity, CI/CD, and deployment safety.
- Own the internal AI agent platform end to end — architecture, build, rollout, operation, measurement.
- Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against.
- Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate.
- Improve platform reliability through better alerting, incident tooling, and production debugging workflows.
- Lead technical design for cross-team projects and make sound tradeoffs between speed, quality, and long-term maintainability.
- Partner with infrastructure, model performance, and product teams to understand what they need to see and ship faster.
- Raise the engineering bar through code review, mentorship, and clear technical writing.
REQUIREMENTS
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 5+ years of relevant industry experience, with a focus on building scalable backend systems and platforms.
- Experience building or operating observability systems (logging, metrics, tracing) or internal infrastructure at scale.
- Proficiency in Python, Go, Rust, or a similar backend language.
- A firm grasp of quality and engineering principles: you understand both the what and the why.
- Strong systems-level thinking: you understand how the components of a distributed system interact and how data flows through each part.
- Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide.
- Excellent written and verbal communication skills.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
The AI ecosystem is being built by many companies at once: model labs creating increasingly capable models, hyperscalers providing infrastructure and distribution, developers building new AI products, and a growing ecosystem of tools that agents can use.
Baseten sits at the center of that ecosystem as the inference platform developers use to run AI in production. Partner Engineering is how we connect those worlds.
As one of the first engineers focused on Partner Engineering at Baseten, you'll build the technical foundation behind some of our most strategic relationships. You'll work directly with engineers at leading model labs, hyperscalers, developer platforms, and AI infrastructure companies to turn partnerships into products developers can actually use.
You don't need a previous partner engineering title. We want an engineer who enjoys working directly with another company's technical team and carrying the resulting product decisions into production at Baseten.
WHAT YOU'LL BUILD
- Bring new capabilities into Baseten. Integrate a search or developer-tools provider into Baseten so an agent can call the service during inference, with consistent authentication, execution, failure handling, observability, and usage reporting.
- Take Baseten into new distribution channels. Integrate Baseten with a hyperscaler, cloud marketplace, or developer platform so customers can discover models, provision access, and run inference through a partner's product while Baseten handles the underlying serving infrastructure.
- Launch models with leading model labs. Build the infrastructure that lets developers discover and run a model lab's newest models on Baseten, including access controls, usage attribution, metering, and the systems required to support commercial agreements such as revenue sharing.
- Create the partner platform itself. Identify the primitives common across these integrations and turn them into reusable platform capabilities so we can launch increasingly sophisticated partnerships without reinventing the stack every time.
WHAT YOU'LL OWN
- Lead strategic partner integrations from technical discovery and architecture through implementation, launch, and production operation.
- Work directly with partner engineering teams to design APIs, define system boundaries, resolve cross-company dependencies, and make architectural decisions.
- Write substantial production code and own the systems you build.
- Build reusable partner-platform primitives across identity, provisioning, inference, model serving, metering, billing, and other Baseten platform capabilities.
- Own technical delivery across Baseten and partner teams, including milestones, dependencies, risks, and architectural tradeoffs.
- Work closely with Partnerships and Product to understand where the ecosystem is going and translate emerging opportunities into platform investments.
- Raise the bar for integration reliability through strong API contracts, testing, observability, safe rollouts, and thoughtful failure handling.
- Help define what Partner Engineering becomes at Baseten as both the team and our ecosystem grow.
REQUIREMENTS
- Experience designing, shipping, and operating large-scale distributed systems in production. You can explain the architectural choices you made and how they meet customers' needs at scale.
- A record of leading ambiguous engineering projects across teams while contributing substantial production code yourself.
- Sound judgment about API design, service boundaries, and failure handling. You've built systems that uphold API contracts and meet measurable service-level objectives that customers and partners depend on.
- Experience turning requests from customers, partners, or other engineering teams into a defined technical scope. You can explain a constraint, propose an alternative, and document the decision.
- Comfort working across application code and cloud infrastructure, including debugging behavior that crosses service boundaries.
NICE TO HAVE
- Product integrations with cloud providers, developer platforms, or other infrastructure companies.
- Usage metering, marketplace infrastructure, or commerce systems that support relationships among multiple parties.
- Model serving or other artificial intelligence (AI) infrastructure used in production.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Software Engineer at Baseten, you will own one of the most critical surfaces of our business: pricing, billing, and revenue infrastructure.
As we launch more and more products— billing is no longer just operational plumbing. It is a strategic lever for growth. This role will establish clear ownership of billing as a function and create leverage for Finance, Sales, and GTM teams while maintaining a seamless customer experience.
RESPONSIBILITIES
- Own Baseten’s end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations.
- Build and evolve our billing platform and integrations (including Orb), ensuring correctness, auditability, and a high-trust experience for customers and internal teams.
- Partner closely with Finance, Sales, GTM, and Forward Deployed Engineering to turn real-world workflows into reliable internal tooling and automation (quoting, approvals, renewals, usage reconciliation, revenue reporting).
- Design systems that scale with new products, packaging, and go-to-market motions, making billing a strategic lever for growth.
- Drive reliability and operational excellence for revenue-critical workflows: monitoring, alerting, incident response, backfills, and clear runbooks.
- Lead from the front on high-impact projects: clarify requirements, propose crisp technical approaches, ship iteratively, and raise the bar on quality and velocity.
- Debug and resolve production issues with urgency, communicating clearly with stakeholders and closing the loop with durable fixes.
REQUIREMENTS
- Bachelor's degree or higher in Computer Science or related field
- Experience with billing systems or building internal tools
- Deep knowledge of the web stack & databases
- Strong collaboration and communication skills
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion.
You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads.
EXAMPLE INITIATIVES
Recent and upcoming work in this area:
- Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies
- Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials
- Agent credentials that grant an agent exactly the access it needs for the given task and nothing more
- Enterprise identity lifecycle including single sign-on, SCIM provisioning, and per-organization session expiry policies
- Admin controls for centralized visibility, auditability, and governance over credentials, roles, and access
RESPONSIBILITIES
- Lead identity and authorization projects from problem definition and technical design through implementation, launch, and iteration.
- Design authorization and credential models that support critical user workflows today and can be safely extended as the platform evolves.
- Partner with product, design, and customer-facing teams to turn enterprise security requirements into durable technical solutions.
- Establish engineering practices for quality, security, observability, and operational ownership.
- Provide technical leadership and mentorship as the team grows.
REQUIREMENTS
- 4-5+ years of experience building production backend systems, including hands-on design and implementation of a product authorization system: per-resource or per-object permissions, relationship-based access control, a policy engine, or a fine-grained authorization system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar.
- Demonstrated end-to-end ownership: you've taken a system from first design through implementation, production rollout, and iteration with users.
- Experience developing and operating multi-tenant systems at scale, where authorization checks sit in the request path and latency and consistency matter.
- Comfort working across the full stack, from product and application code to cloud and Kubernetes infrastructure.
NICE TO HAVE
- Experience with Python and Go.
- Experience running an OpenFGA, SpiceDB, or similar deployment in production, beyond a proof of concept.
- Working knowledge of OAuth, OIDC, and SCIM at the protocol level.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Задачи:
— Разрабатывать и поддерживать веб‑приложения на React или Vue.
— Строить переиспользуемые и поддерживаемые frontend‑компоненты.
— Взаимодействовать с дизайнерами и продакт‑менеджерами для реализации UI‑решений.
— Писать и поддерживать unit и E2E тесты для критичных сценариев.
— Использовать AI‑инструменты для разработки, рефакторинга, отладки и генерации тестов.
— Отвечать за качество frontend‑кода и предлагать улучшения архитектуры.
Требования:
— 3+ года коммерческой разработки production‑приложений на React или Vue.
— Хорошее знание JavaScript/TypeScript.
— Опыт написания unit и E2E тестов (Jest, Vitest, Playwright, Cypress и т.п.).
— Умение оценивать покрытие тестами поведения и рисков приложения.
— Опыт работы с тестами, сгенерированными AI, и их улучшения.
— Английский B2–C1, русский B2.
Будет плюсом:
— Опыт в UI/UX дизайне или тесное взаимодействие с дизайнерами.
— Понимание дизайн‑систем и компонентной архитектуры.
— Опыт создания и поддержки библиотеки переиспользуемых компонентов.
— Знание принципов доступности (a11y) и адаптивной верстки.
Условия:
— Гибкий график работы.
— Удалённая культура (remote‑first).
— Долгосрочные проекты.
— Выплаты в долларах.
— Профессиональные сообщества и корпоративные мероприятия.
— Оффсайты / командировки.
— Бюджет на обучение и оплата конференций.
Задачи:
— проектирование, создание, программирование и внедрение систем роботизированной автоматизации.
Требования:
— опыт работы с системами автоматизации и управления, включая Beckhoff, HMI, PLC, Pilz.
— навыки работы с CAD для проектирования.
Условия:
— зарплата от $159,200 до $217,300.
О вакансии:
Intrinsic ищет старшего инженера по автоматизации и управлению для работы с робототехническими системами.
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Задачи:
— Проектирование, создание и поддержка надежных и масштабируемых ETL-процессов для обработки больших объемов данных.
— Разработка и оптимизация SQL-запросов для извлечения и анализа данных.
— Сотрудничество с командами аналитиков и разработчиков для определения требований к данным и обеспечению их доступности.
— Участие в проектировании архитектуры данных и внедрении новых технологий.
— Обеспечение качества данных и их интеграции из различных источников.
Требования:
— Хорошее владение SQL и PL/SQL;
— Владение Python, Go;
— Опыт работы с Apache Kafka.
Location: Office Based - London, UK
This is an opportunity to kickstart your career by joining Canonical. You will be working from our Canonical London Office and will be accountable for delivering technical support to our employees and customers, as well as facilitating AV support for office conferences and events. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical.
While our engineers regularly solve deeply interesting, complex technical problems - from triaging cloud environments to root-cause analysis on unseen Linux kernel crashes - this is fundamentally a role rooted in human connection. You will act as a trusted peer and technical guide to external engineering teams, translating intricate open-source challenges into clear, empathetic solutions. We are rapidly expanding and looking for brilliant problem solvers who are just as passionate about building strong, collaborative relationships with customers as they are about the next generation of Canonical solutions.
Location: Office Based in London, England.
The role entails
Empathetic Engagement:
Partner directly with customers across remote sessions, ticketing,, and live conversations to deeply understand and resolve their technical roadblocks.
Collaborative Problem Solving:
Work hand-in-hand with internal engineering teams and regional peer groups to bridge the gap between complex code fixes and real-world customer satisfaction.
True Ownership:
Manage your support cases with a strong sense of personal integrity, ensuring commitments are honored and customer expectations are communicated transparently and predictably.
Ubuntu Lifecycle Guidance:
Develop a rich understanding of the Ubuntu development process, empowering you to give customers clear, human context regarding timelines for engineering fixes.
Knowledge Advocacy:
Author and maintain accessible knowledge base articles, ensuring lessons learned are shared openly to elevate the entire open-source community.
Operational Reliability:
Participate in a regular weekend working rotation to maintain seamless, high-touch continuity of care for our global partners.
What are we looking for in you
Communication Excellence:
Exceptional written and spoken English, with a natural ability to convey technical complexity clearly, warmly, and compellingly.
The Soft-Skill Edge:
A genuine passion for helping people, paired with the emotional intelligence to navigate high-stakes technical situations with composure and empathy.
Academic Dedication:
Exceptional academic track record from both high school and university.
Educational Background:
An undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
On-Site Technical Leadership:
Based in our state-of-the-art London, UK office, you will serve as a key technical support resource for our local teams and employees.
Driven Mindset:
A proven track record of going above-and-beyond expectations to deliver meaningful, outstanding results for teams or customers.
Linux & Cloud Familiarity:
Practical, hands-on experience supporting Linux systems, with an exposure to three or more of the following:
Virtualization & Cloud:
Using KVM or OpenStack.
Containers:
primarily Docker, LXD/LXC, or Kubernetes.
Storage Ecosystems:
Block, object, and network storage technologies.
System Networking:
Navigating bonding, firewalls, bridging, switching, or MTU tuning.
Analytical Curiosity:
A strong troubleshooting mindset—the ability to look into stack traces or logs, identify OS/application-level bugs, and strategically guide the customer through next steps.
Development Fundamentals:
Basic programming logic in any language to help parse code and collaborate effectively with Canonical Engineering teams.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person.
Personal learning and development budget of USD 2,000 per year.
Bi-annual compensation review.
Company recognition rewards.
40 days annual leave per annum, including public holidays and our All Company holiday periods.
Maternity and paternity leave.
Team Member Assistance Program & Wellness Platform.
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access.
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Office Based - London, UK
Accelerate your technical career by joining Canonical in a high-impact, multi-disciplinary role.. You'll be working from our London office, which hosts our events, customer demos and visitors, in an event space with professional live video, audio and streaming equipment. You'll wear three hats: Linux and cloud support engineer, owner of the office's technical infrastructure, and one of the people running the live production at our events. You'll own your cases from first contact to resolution, bringing in colleagues or senior engineers when needed, and you'll keep the technology running when it matters most, with people watching. While professional broadcast or AV experience is not required, a strong technical curiosity for audio/video systems and the composure to manage live, high-stakes environments are a must.
Location: Office Based in London, England.
The role entails
Office technology:
Own the technical state of the London office (network, devices, meeting spaces, AV), including onboarding new colleagues, and know how it all fits together.
Live events:
Run the technology for events and customer demos, from set-up and live operation through to tear-down, and coordinate external crew for larger events.
Customer support:
Own your cases end to end, working with customers by ticket, remote session and live conversation, and with engineering teams to turn code fixes into customer outcomes. Set clear expectations and keep your commitments.
Ubuntu lifecycle:
Understand the Ubuntu development process well enough to give customers realistic timelines for fixes.
Knowledge:
Write and maintain knowledge base articles so lessons learned are shared.
What are we looking for in you
Exceptional written and spoken English, and the ability to explain technical complexity clearly and warmly
An exceptional academic record at high school and university, with an undergraduate degree in a technical subject or a compelling narrative about your alternative path
A builder's streak: something you've set up or run for other people on a deadline, such as a home lab, hackspace, student tech crew, live sound, streaming, or school or club IT
AV curiosity: real interest in audio, video and live production, or a clear appetite to learn it
Composure and care: you like helping people and stay calm when a high-stakes moment, including a live event, gets tense
A track record of going above and beyond for teams or customers
Hands-on experience supporting Linux systems, plus any of: virtualization or cloud (KVM, OpenStack), containers (Docker, LXD/LXC, Kubernetes), storage (block, object, network), or networking (bonding, firewalls, bridging, switching, MTU tuning)
A troubleshooting mindset (logs, stack traces, OS and application-level causes) and programming fundamentals in any language
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person.
Personal learning and development budget of USD 2,000 per year.
Bi-annual compensation review.
Company recognition rewards.
40 days annual leave per annum, including public holidays and our All Company holiday periods.
Maternity and paternity leave.
Team Member Assistance Program & Wellness Platform.
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access.
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
ГибридSan Francisco; New York; Seattle
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
ОфисOffice Based - London, UK
ОфисOffice Based - London, UK
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