Senior Platform Engineer

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world. Our clien t 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. Requirements: 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. We offer*: 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