Senior platform Engineer - Portfolio Construction

Capital Fund Management (CFM); Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Capital Fund Management in Paris is seeking a senior individual contributor to elevate reliability and automation of our portfolio platform. You will own end-to-end infrastructure, set engineering standards, and mentor peers, advancing self-service operations and cloud-native maturity across on-prem and AWS environments.

You will guide modernization of the Python ecosystem, strengthen CI/CD, and drive data-driven incident reduction through automation and rigorous observability practices, while

Qualifications

• 8+ years of professional engineering experience in production environments.
• Extensive hands-on track record as a platform, infrastructure, or reliability engineer.
• 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).
• Real SRE / observability experience: SLOs, monitoring, alerting, incident management.
• Sound distributed systems and containerization fundamentals.
• Fluency in Python for automation and tooling.
• A genuine senior-IC mindset with mentoring capability.

Responsabilités

• Design, build, and operate cloud-native infrastructure on AWS — compute, networking, storage, IAM, and managed services.
• Own Infrastructure-as-Code and GitOps practices: reproducible, versioned, reviewable infrastructure.
• Strengthen CI/CD pipelines quality gates, automated testing, release automation.
• 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.
• Reduce operational toil systematically, automate the repetitive, instrument the invisible.
• Bring modern engineering practices, including AI-augmented development workflows, into the team.
• Act as a technical reference for cloud, reliability, and platform architecture across the department.

Connaissances

AWS cloud-native

Terraform

GitOps

CI/CD

Python

SRE/Observability

Distributed systems

Containerization

Security & compliance

Outils

GitLab CI

GitHub Actions

Jenkins

Description du poste

Paris, 75, FR

ABOUT CFM

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.

We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

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

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 withAWScloud-native architecture.

StrongInfrastructure-as-Code(Terraform, CDK, or equivalent) andGitOpspractice.

SolidCI/CDexperience (GitLab CI, GitHub Actions, Jenkins, or similar), you think of pipelines as a product.

RealSRE / observabilityexperience: SLOs, monitoring, alerting, incident management, and the discipline to improve systems with data.

Sound distributed systems and containerization fundamentals.

Fluency inPythonor a comparable language for automation and tooling.

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

Strongly desirable

Experience in alatency-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 toML or data platforms model serving, feature stores, training/experiment infrastructure (Ray, SageMaker, or equivalent).

Practical use ofAI 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.

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles .