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Advanced Platform Engineer - Compute

Portugal · Job Posted May 05, 2026
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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.

Job Responsibility

  • 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

Requirements

  • 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-native patterns
  • Strong experience with monitoring and observability (e.g. Grafana, Prometheus) and using data to drive reliability and performance
  • Solid experience with Infrastructure-as-Code (e.g. Terraform, Crossplane) and platform lifecycle management
  • Track record of leading projects, driving technical decisions, and mentoring others
  • Self-driven, collaborative, and motivated to improve how we build and run the platform

Nice to have

  • Excellent communication skills, both written and verbal
  • ability to explain technical trade-offs and influence stakeholders
  • Comfort with AI-augmented development tools (e.g. Cursor) and enthusiasm for adopting new tooling
  • Kubernetes, cloud, or programming certifications or equivalent are valued
  • Experience with internal developer platforms or platform-as-product thinking is a plus

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