SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Feedzai is a Series D fintech company ($2B valuation, $282M raised) building AI-powered fraud detection and financial crime prevention for the world's largest banks and payment networks. The company protects 1 billion consumers and $9 trillion in annual payment volume.
The Platform Engineering Compute team owns the cloud platform architecture supporting Feedzai's cloud services and internal developer experience. As a Platform Engineer, you will own meaningful areas of the platform, contribute to architectural decisions, and improve automation and tooling across the organization.
Key responsibilities include:
- Design, build, and maintain Kubernetes Operators and platform services with focus on deployment, monitoring, and operations
- Develop infrastructure code in Go or similar languages, following team standards and contributing to best practices
- Automate cloud infrastructure and incident response; improve self-healing capabilities and overall reliability
- Develop and refine playbooks, runbooks, and alerting strategies to streamline incident response
- Maintain and improve product deployment pipelines and GitOps practices (FluxCD, Argo CD)
- Participate in incident response, root cause analysis, and post-incident improvements
- Leverage AI-assisted development tools (e.g., Cursor) to ship faster and iterate effectively
- Maintain and extend Infrastructure as Code and platform lifecycle management (monitoring, alerting, security, cost, configuration, backup)
- Help improve developer experience and platform capabilities for product teams
Required qualifications:
- Bachelor's degree in Computer Science, Information Systems, or equivalent education/experience
- 2+ years hands-on platform engineering, DevOps, or cloud infrastructure experience
- Strong programming skills in Go, Java, or similar languages
- Hands-on experience with Docker, Kubernetes, and container orchestration
- CI/CD experience (Jenkins, GitLab) and GitOps tools (FluxCD, Argo CD)
- Experience with AWS or GCP and cloud-native patterns
- Monitoring and observability experience (Grafana, Prometheus)
- Infrastructure-as-Code experience (Terraform, Crossplane)
- Self-driven, collaborative mindset with motivation to improve platform engineering
Preferred: excellent communication skills, comfort with AI-augmented development tools, relevant certifications in Kubernetes/cloud/programming.
