Platform Engineer

What makes you a great fit

• Hands-on experience with Kubernetes and
  cloud-native platform engineering concepts
• Practical experience operating or
  developing for Kafka, PostgreSQL,
  YugaByteDB, or other stateful distributed
  systems
• A solid understanding of reliability
  engineering, observability, incident
  response, and safe production change
• Experience building automation or selfservice tooling that improves developer
  experience and reduces operational toil
• Good judgement, strong collaboration skills,
  a track record of engaging positively with
  users of an internal platform, and the ability
  to balance technical depth with pragmatic
  delivery
• Strong software engineering skills, with
  experience writing clean, maintainable, and
  well-tested code

It would be great if you also had

• Experience building Kubernetes operators or
  controllers, ideally in Go
• Familiarity with AWS managed data services
  such as RDS, Aurora, or related database
  tooling
• Exposure to multi-region architecture,
  disaster recovery, or distributed database
  patterns

,[As a Stateful Platform Engineer, you will build and operate the shared Kafka and database platform capabilities that help engineers deliver safely, reliably, and with less manual toil., Deliver changes to Kafka, PostgreSQL, YugaByteDB, and other stateful platform components in a controlled, well-tested manner, Build self-service platform capabilities through Kubernetes-native interfaces, automation, and reusable tooling, Improve the developer experience by simplifying provisioning, reducing ticketdriven workflows, and creating clearerplatform golden paths, Design and implement solutions that improve resilience, security, scalability, and operational safety for stateful workloads, Investigate incidents, performance issues, and capacity risks, then turn findings into durable platform improvements, Define and improve observability, alerting, SLOs, dashboards, and runbooks for critical stateful services, Work on platform software such as operators, controllers, and supporting services that manage shared infrastructure at scale, Collaborate with product and engineering teams on platform adoption, technical design, and the safe use of shared data and messaging systems] Requirements: Cloud platform, Kubernetes, Kafka, PostgreSQL, AWS, Amazon RDS, Apache Aurora