Senior platform Engineer - Portfolio Construction

ABOUT THE TEAM 

The Portfolio Platform team builds and operates the engineering foundations that power CFM's systematic portfolio construction. We provide the runtime, tooling, CI/CD, and cloud infrastructure that our engineers and researchers rely on to move from idea to production safely and at scale across both on-premises and AWS environments. 

We are a small, high-leverage team. Our work is measured by how much faster, safer, and more reliable the rest of the organization can build. 

YOUR ROLE 

We are looking for a senior individual contributor to raise the reliability, automation, and cloud-native maturity of our platform. You will own hard problems end-to-end, set engineering standards, and mentor through your work rather than through a reporting line. 

You will help move the platform from reactive, ticket-driven operations toward automated, observable, self-service infrastructure that engineers can rely on without thinking about it. 

KEY RESPONSIBILITIES 

• Design, build, and operate cloud-native infrastructure on AWS — compute, networking, storage, IAM, and managed services — supporting demanding, data-intensive workloads. 

• Own Infrastructure-as-Code and GitOps practices: reproducible, versioned, reviewable infrastructure. 

• Strengthen our CI/CD pipelines quality gates, automated testing, release automation — so that shipping to production is fast, safe, and routine. 

• Python Stack: Modernize our Python ecosystem, define standards, and drive adoption of best practices. 

• Establish observability and reliability practice: Service Level Objectives, telemetry, alerting, and runbooks for critical services; drive incident reduction through data and automation, not firefighting. 

• Reduce operational toil systematically, automate the repetitive, instrument the invisible, and make the platform self-service where possible. 

• Bring modern engineering practices, including AI-augmented development workflows, into how the team builds and operates. 

• Act as a technical reference for cloud, reliability, and platform architecture across the department. 

YOUR SKILLS 

Essential 

• 8+ years of professional engineering experience in production environments. 

• Extensive hands-on track record as a platform, infrastructure, or reliability engineer, operating systems at scale. 

• Deep, current expertise with AWS cloud-native architecture. 

• Strong Infrastructure-as-Code (Terraform, CDK, or equivalent) and GitOps practice. 

• Solid CI/CD experience (GitLab CI, GitHub Actions, Jenkins, or similar), you think of pipelines as a product. 

• Real SRE / observability experience: SLOs, monitoring, alerting, incident management, and the discipline to improve systems with data. 

• Sound distributed systems and containerization fundamentals. 

• Fluency in Python or a comparable language for automation and tooling. 

• A genuine senior-IC mindset: you want to go deep technically, set standards, and mentor. 

Strongly desirable 

• Experience in a latency-sensitive or data-intensive environment — trading, fintech, or high-scale SaaS. 

• Familiarity with distributed computing and HPC environments, including workload orchestration, scheduling, and performance-aware infrastructure. 

• Exposure to ML or data platforms  model serving, feature stores, training/experiment infrastructure (Ray, SageMaker, or equivalent). 

• Practical use of AI coding agents (e.g. Claude Code, Copilot) in real engineering workflows, ideally beyond the workstation. 

• A product-oriented view of internal platforms: your users are engineers and researchers, and their experience is the point. 

• Awareness of security and compliance in cloud environments. 

WHAT WE OFFER 

• A role at the technical heart of one of Europe's leading quantitative asset managers, in a firm that treats engineering and research as peers. 

• Genuine hands-on ownership and the autonomy of a senior IC track delivering impact without the obligation to manage. 

• A modern hybrid stack (AWS + on-premises) and an organization actively investing in cloud, automation, and AI-augmented engineering. 

• A small, serious, high-caliber team.