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
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