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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 a Professional Platform Engineer you will own meaningful areas of our platform, contribute to design decisions, and help improve our automation and tooling. You'll work with other platform engineers to develop and maintain the systems that support Feedzai's cloud service and enable faster, more nimble product delivery.
Job Responsibility:
Design, build, and maintain Kubernetes Operators and platform services, including deployment, monitoring, and operations
Develop in Go or similar languages, following team standards and contributing to best practices
Automate cloud infrastructure and incident response
improve self-healing and reliability
Develop and refine playbooks, runbooks, and alerting to streamline response procedures
Maintain and improve the product deployment pipeline and GitOps practices (e.g. FluxCD, Argo CD)
Participate in incident response, root cause analysis, and resolution
contribute to post-incident improvements
Work with AI-assisted development tools (e.g. Cursor) as part of your daily workflow to ship faster and iterate effectively
Maintain and extend Infrastructure as Code (IaC) and platform lifecycle (monitoring, alerting, security, cost, configuration, backup) in production
Help improve developer experience and platform capabilities for product teams
Requirements:
A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training
2+ years of hands-on experience in platform engineering, DevOps, or cloud infrastructure
Strong programming skills in Go, Java, or similar, with experience building and maintaining systems
Hands-on experience with container technologies and orchestration (Docker, Kubernetes)
Experience with CI/CD (e.g. Jenkins, GitLab) and GitOps tools (e.g. FluxCD, Argo CD)
Experience working with at least one major cloud provider (AWS or GCP) and cloud-native patterns
Experience with monitoring and observability (e.g. Grafana, Prometheus)
Experience with Infrastructure-as-Code (e.g. Terraform, Crossplane) and platform lifecycle management
Self-driven, collaborative, and motivated to learn and improve how we build and run the platform
Nice to have:
Excellent communication skills, both written and verbal
Comfort with AI-augmented development tools (e.g. Cursor) and willingness to adopt new tooling
Kubernetes, cloud, or programming certifications or equivalent are valued