Platform Engineer (Stateful)

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe. The project focuses on building the UK's leading Banking-as-a-Service platform using innovative cloud-native technology.

• Hands-on experience with Kubernetes and modern platform engineering concepts.
• Practical operational or development experience with Kafka, PostgreSQL, YugaByteDB, or similar database/distributed systems.
• Strong knowledge of reliability engineering, observability, change management, and incident response.
• Track record of building automation or self-service tools that improve developer productivity.
• Proficiency in writing clean, maintainable, well-tested code (Go or similar languages).
• Strong communication and collaboration skills, with a focus on developer experience and supported adoption.

Nice to have:

• Experience building Kubernetes operators/controllers, ideally using Go.
• Familiarity with AWS managed database services (e.g., RDS, Aurora) or equivalent solutions.
• Knowledge of distributed database patterns, multi-region architecture, and disaster recovery.

• Deliver changes to Kafka, PostgreSQL, YugaByteDB, and other stateful platform components in a controlled and highly automated way.
• Build self-service platform features using Kubernetes-native interfaces, automation pipelines, and reusable tooling to streamline developer experience.
• Reduce operational toil by simplifying provisioning processes, eliminating ticket-driven workflows, and defining platform golden paths.
• Improve resilience, security, scalability, and operational safety across all stateful workloads.
• Investigate incidents and system performance issues, turning findings into actionable improvements.
• Implement and maintain observability standards, alerting systems, SLOs, dashboards, and runbooks for critical infrastructure services.
• Develop platform software such as operators, controllers, and backend services to manage and automate platform operations at scale.
• Collaborate with product and engineering teams to drive safe adoption of shared messaging and data services.