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Overview
Mid-Level

Advanced Platform Engineer - Compute

Confirmed live in the last 24 hours

Feedzai

Feedzai

Portugal
Remote
Posted March 26, 2026

Job Description

Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.

With Cloud at its core, the Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.  

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, and supporting data science techniques and algorithms. 

You

The Platform Engineering Compute team
is responsible for the overall cloud platform architecture that supports the cloud services provided to our customers and internal developers. As an Advanced Platform Engineer you will lead initiatives, own critical platform capabilities, and help shape our cloud strategy. You'll work with other platform engineers and stakeholders to design and deliver the automation, tooling, and platforms that support Feedzai's cloud service, while mentoring others and contributing to a faster, more nimble product delivery.

 

Your Day to Day

  • Lead the design, implementation, and evolution of Kubernetes Operators and platform services, including deployment, monitoring, and operations.
  • Drive development in Go or similar languages, setting standards and best practices for the team.
  • Own and evolve automation for cloud infrastructure and incident response, and champion self-healing and reliability improvements.
  • Define and improve playbooks, runbooks, and alerting strategies to streamline response and reduce toil.
  • Own and advance the product deployment pipeline and GitOps practices (e.g. FluxCD, Argo CD).
  • Lead or coordinate incident response, root cause analysis, and post-incident reviews; drive preventive measures.
  • Work with AI-assisted development tools (e.g. Cursor) as part of your daily workflow to ship faster and iterate effectively.
  • Own and extend Infrastructure as Code (IaC) and platform lifecycle (monitoring, alerting, security, cost, configuration, backup) in production.
  • Contribute to developer experience and internal platform capabilities so product teams can ship with less friction.
  • Mentor engineers and share knowledge through documentation, pair programming, and technical guidance.

You Have & You Know-How

  • A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training.
  • 6+ years of hands-on experience in platform engineering, DevOps, or cloud infrastructure.
  • Strong programming skills in Go, Java, or similar, with a track record of designing and delivering maintainable systems.
  • Deep experience with container technologies and orchestration (Docker, Kubernetes), including operator development or ecosystem tooling.
  • Proven experience with CI/CD (e.g. Jenkins, GitLab) and GitOps (e.g. FluxCD, Argo CD).
  • Substantial experience with at least one major cloud provider (AWS, GCP, Azure) and familiarity with cloud-nativ
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