Senior Platform Engineer
Indexed description
Our client is a leading online car marketplace group operating across Europe and North America, bringing together market-leading brands to shape the future of our industry by combining the best of both regions.
About the Role: Join our client's Platform Engineering team, where they build the internal platform that 600+ developers rely on to ship software quickly and safely: centralized Kubernetes, managed CI/CD, project templates, and developer tooling running on AWS.
A big part of that today is making developers more productive with AI — secure environments for AI coding tools, AI-assisted CI, agentic workflows on AWS (Bedrock, Agent Core), and MCP-based integrations. AI is the means, not the end: what we care about is a faster, smoother day-to-day for every engineer.
We are looking for a Senior Platform Engineer who works fluently with modern AI tooling and uses it to move fast — someone who'd rather build something and learn from it than research it forever, and who brings solid infrastructure/AWS fundamentals along with the product thinking and communication skills to own a topic end to end.
Responsibilities:
- Build and operate the internal AI platform: secure AI coding environments, AI in CI/CD, agentic workflows on AWS (Bedrock / Agent Core), and reusable building blocks teams adopt by default.
- Own products end to end — design, build, run, and improve them with a product mindset, treating fellow engineers as your customers and shaping interfaces that are genuinely easy to build with.
- Start from the developer's day: figure out where the real friction is, decide what would actually make their work easier, and measure whether people adopt it once it ships.
- Take ownership of a topic, plan the work, drive it to done, and keep stakeholders in the loop.
- Set the bar for how we build with AI — turn an interesting idea into tooling people can actually rely on, and bring the rest of the team along with you.
- Shape architecture and technology choices for our platform foundations (Kubernetes, CI/CD, IaC on AWS) and for the AI capabilities on top, and share your perspective in technical discussions.
- Keep the platform reliable, secure, observable, and cost-aware. You'll join the on-call rotation and help troubleshoot production incidents.
- Capture reusable patterns, templates, and blueprints so the whole organization moves faster.
- Senior-level experience (5+ years) building and operating infrastructure or platform products.
- Hands-on GenAI experience — you've built with LLM APIs, tool/function calling, retrieval, agents, or agent frameworks and put them into real workflows.
- Modern AI coding tools (e.g., Claude Code, Codex) are part of how you work day to day.
- Strong AWS fundamentals and a genuine appreciation for Infrastructure as Code and Pipeline as Code.
- A real feel for developer experience — you can look at a feature and tell whether it'll make a developer's life easier or just add another thing to learn, because you've lived that friction yourself.
- Strong communication and collaboration skills — you work well in a team, share your opinions clearly, and can move a topic forward with people across functions.
- Solid engineering fundamentals: testing, debugging, code quality, and getting things production-ready.
- Familiarity with SRE / DevOps principles and observability concepts (CloudWatch, Datadog, OpsGenie, or similar).
- Proficiency in at least one language, ideally Python, Go, or TypeScript.
- A bias for shipping — you're comfortable taking something ambiguous and turning it into a working solution with sensible scope.
- Work in EDT (Toronto) time zone.
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
- not applicable for freelancers
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