Linear Logo

Linear

Senior / Staff Software Engineer (API)

Reposted 5 Days Ago
Remote
3 Locations
Senior level
Remote
3 Locations
Senior level
As a Senior/Staff Software Engineer at Linear, you will develop and refine backend APIs, collaborate on performance and security, and shape API designs for AI integrations.
The summary above was generated by AI

At Linear, we are on a mission to bring magic back to software. To empower product teams to do their best work, we are building an issue tracking and project management tool that combines UI elegance with world-class performance. Founded in 2019, Linear has become the platform of choice for thousands of high-impact companies to build their products better.

Linear was set up as a fully remote company from the start. Today, our small but mighty team is distributed across North America and Europe. What unites us is relentless focus, fast execution, and our passion for software craftsmanship. We are all makers at heart and care deeply about the quality of our work.

As a small team, we’re all generalists and constantly picking up new challenges. Regarding systems and infrastructure, we’re looking to work with experienced engineers who can dive deep into design and performance problems, architect robust backend services, and build foundational APIs that scale. Our stack is built with TypeScript, Node.js, GraphQL, and PostgreSQL. We don’t expect you to have worked with everything we use, but we do expect a strong systems thinking mindset and solid backend engineering experience.

Please note: We are an equal opportunity employer and remote-only company. At this time, we can only support hiring within North America for this role.

Why Now

The way modern teams build products is changing. AI agents are starting to participate in workflows as collaborators—triaging issues, drafting specs, even coordinating projects. Linear is uniquely positioned to become the orchestrating layer where both humans and AI agents interact and drive product development forward.

This shift demands a new generation of APIs: ones that are reliable, permission-aware, and deeply composable. As an API engineer, you won’t just be building for human developers—you’ll be shaping the interface through which AI agents understand and operate within Linear. This is foundational work, with the opportunity to help define an emerging interaction model.

What you'll do

  • Take ownership, build, and evolve the APIs that power all of Linear, from frontend features to public developer access

  • Collaborate with product engineers, design, and infrastructure to deliver performant, reliable, and secure data flows

  • Improve our developer platform with well-documented, discoverable, and stable APIs

  • Shape the API surface that AI agents will use to interact with Linear, enabling autonomous workflows and real-time decision-making

Tech

  • Proprietary data synchronization library built for speed and offline support. Delta-packets are transported using WebSockets

  • MobX for binding the data model to the UI

  • Prosemirror-based content editor

  • Electron desktop application

  • Public GraphQL API that has access to all of the user's data

  • Node, Postgres, and Redis in the backend

  • Hosted on Google Cloud with Kubernetes

  • GitHub, Slack, Notion

  • Design system with React component library

What we offer

  • Interesting and challenging work

  • Work-life balance

  • Competitive salary and equity

  • Employee-friendly equity terms (early exercise, extended exercise)

  • Paid lunch and coffee during workdays

  • Work remotely, no commuting to the office

  • Paid co-working space/desk at an office

  • Health, dental, and vision insurance (US)

  • Regular team events and off-sites

  • 5 weeks of paid vacation

  • 4 months of paid parental leave

Learn how we think and work

  • Read Me a story about our mission

  • Why and how we do work trials Linear blog post

  • Crafting quality that endures Config keynote by our Co-founder & CEO, Karri Saarinen

  • How we structure our product teams talk by our Head of Product, Nan Yu, at Config 2024

  • Scaling our real-time sync engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite

  • First Round Capital: The Unsung Ingredient: Taste

Top Skills

Electron
GraphQL
Mobx
Node.js
Postgres
React
Redis
Typescript
Websockets

Similar Jobs

19 Minutes Ago
Remote
2 Locations
Mid level
Mid level
Fintech • Financial Services
The Technical Recruiter will manage the recruitment lifecycle for technical and business roles, focusing on building teams in Canada. Responsibilities include sourcing candidates, ensuring a positive candidate experience, and advising on recruitment best practices.
Top Skills: Applicant Tracking Systems (Ats)
19 Minutes Ago
Remote
2 Locations
Senior level
Senior level
Fintech • Financial Services
The Senior Analyst, Portfolio Strategy will provide insights to drive business growth, manage portfolio risk, and implement pricing strategies.
Top Skills: ExcelPythonSQLTableau
19 Minutes Ago
Remote
2 Locations
Senior level
Senior level
Fintech • Financial Services
Lead the evolution of money movement and financial technology platforms, ensuring integrity of financial data and managing product roadmap and vendor relationships.
Top Skills: Ach PaymentsCash Management ProductsFinancial Data IntegrityFintech

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account