openteamtailoroneragtime
Senior Backend & Platform Engineer
PhantomBuster
LocationBordeaux
Workplacenone
Posted2026-05-27T12:00:42+02:00
Last observed2026-06-13 05:23:52.205686
Job idoneragtime-phantombuster:teamtailor:b1a9c8e9-af6f-47bf-aa11-f7852de0d86c
About PhantomBuster PhantomBuster is a web automation and data extraction SaaS that allows businesses to grow faster. We enable thousands of companies to boost their growth by finding and connecting with their ideal customers seamlessly. Founded in 2016, PhantomBuster developed a toolbox of over 120 flows (Phantoms) to help businesses scale their sales and marketing processes. We allow our users to automate finding and enriching data about their potential customers and leverage that data to connect with them. It's never been easier for non-technical people to extract the data they need, automate actions, and get their work done better and faster. We are a team of 70 passionate and kind people looking to help more businesses save time on repetitive tasks and focus on what matters. Join us so you can enjoy working at a self-funded, profitable, remote, product-led company! Working setup ● Bordeaux office based role ● Initial 6-month engagement Note from the Hiring Manager — Clément The Platform team treats reliability and developer experience as a product, not as a constraint. We want engineers who ship through complexity instead of around it, and who already use AI every day rather than watching it from a distance. If you enjoy backend and infrastructure work, are comfortable jumping into frontend when needed (AI helps), and believe AI is a genuine productivity multiplier when used thoughtfully, we'd love to talk. About the Role and the Team The Platform team at PhantomBuster is the technical backbone of our SaaS product. We ensure reliability, scalability, developer experience, and performance across our backend and infrastructure. You'll join the CSI squad, one of our Platform squads, alongside a tight group of experienced engineers. The CSI squad owns the payment and billing layer. This includes integrating with external payment providers (ProcessOut) and invoicing tools (Quaderno), while managing subscription logic entirely in-house. You'll report to Clément, our Engineering Manager, and work daily with our Tech Lead, Olivier, who acts as the technical reference for the team. You'll also collaborate frequently with the Product squads and the DataIO/PI squads. We're looking for someone with strong backend and infrastructure fundamentals, comfortable enough with frontend (React) to ship end-to-end features when needed (with AI as a force multiplier), and motivated by the AI transformation happening across our engineering team. Concrete topics you'll work on: ● Scalability and sharding: our backend architecture is under pressure as we grow. You'll help design and implement the sharding strategy that unlocks the next order of magnitude. ● MCP compatibility with our API: keeping our public API surface aligned with the MCP protocol as both evolve, so AI agents can interact with PhantomBuster reliably. ● Harness engineering: building the infrastructure that lets agentic AI workflows run safely against our codebase. ● Reliability and observability: improving how we detect, measure, and respond to issues in production. About the technical stack: ● TypeScript with strict rules ● Node.js, PostgreSQL, Redis ● Cloud-based architecture on AWS ● DevOps tools such as Docker, Ansible and Pulumi. ● CI/CD with GitHub Actions and CircleCI ● React for the frontend side of the stack ● AI tooling: Claude Code, Cursor, Codex, internal AGENTS.md/CLAUDE.md conventions, custom agents Skills and autonomous agents What You'll Do AI-assisted engineering ● Use AI tools daily as part of your engineering workflow (code generation, reviews, debugging, exploration) ● Question AI outputs critically. Accuracy and judgment matter more than raw speed ● Contribute to our agentic engineering initiatives: agent reviews, AGENTS.md conventions, internal autonomous agent (Ghost), harness work ● Ship full-stack features end-to-end when needed, leveraging AI on the frontend side Backend & Infrastructure ● Own end-to-end delivery of Platform projects ● Tackle scalability
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