We're hiring a Senior Platform Engineer to join the CSI squad and strengthen the backend and

infrastructure foundations of PhantomBuster. You'll tackle scalability challenges, MCP and API

evolution, harness engineering for agentic AI workflows, and the tooling that makes the rest of

engineering faster.

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 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!

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. 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 (Griffin, Unicorn) 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 and sharding work as our load grows

● Maintain and evolve our API and its MCP compatibility layer

● Improve reliability, observability, and performance of our systems

● Contribute to our infrastructure: AWS, Docker, Infrastructure as Code (Ansible, Pulumi),

CI/CD pipelines

Quality & Developer Experience

● Prevent bugs and technical debt from reaching production through rigorous code

reviews

● Improve internal tooling, deployment workflows, and the day-to-day developer

experience

● Write tests that match our team's strategy and raise the quality bar where you see gaps

● Drive monitoring and observability improvements in our domain

Collaboration & Support

● Participate in our weekly Support Duty rotation (handling internal requests and Zendesk

tickets escalated to Platform)

● Contribute to our deployment rotation

● Pair with engineers from other squads when backend changes affect their work

Documentation & Knowledge sharing

● Write specifications and decision records for the projects you lead

● Share what you learn through internal demos, written posts, or thorough code reviews

● Start mentoring more junior engineers as you grow into the role

Who You Are

Experience & seniority

● 7+ years of experience in backend or infrastructure engineering, ideally in SaaS

● Proven track record of shipping and operating real production systems

Technical skills

● Strong in TypeScript / Node.js (Koa)

● Comfortable with PostgreSQL, Redis, RabbitMQ/AMQP and distributed multi-service

deploys (backward-compat awareness)

● Solid AWS experience (or equivalent cloud), Docker, IaC and CI/CD pipelines

● Familiar with observability practices (logging, metrics, tracing) and able to use them to

drive improvements

● Comfortable enough with React to ship features end-to-end with AI assistance.

Full-stack curiosity rather than full-stack expertise

● Bonus: exposure to LLM / agentic AI (AWS Bedrock AgentCore, LangChain/LangGraph)

or browser automation / scraping at scale

✅ Green flags

● You've shipped infrastructure that you still operate today

● You bring up AI in conversation before being asked, and you have informed opinions on

which tools work and which don't

● You've already dealt with scalability work (sharding, partitioning, queue tuning, hot paths)

and have scars to show for it

● You're comfortable opening a Linear issue, a PR, and a Notion doc in the same morning

● You see reliability and developer experience as a product, not as a constraint

● You value pragmatism over perfection, and shipping over polish

🔴 Role may not be a fit if you:

● Think infra is something other people should handle

● Arrive with proposals to rewrite the whole stack before understanding why it exists

● Are skeptical that AI has a real place in critical backend or infra work

● Find Support Duty or operational work beneath you

● Need a backlog handed to you to be productive