Requirements

Expertise operating and automating Apache Kafka across both on-premise and cloud environments, including cluster provisioning, scaling, security, and resilience
Proficiency in building and owning platform automation and self-service systems using Kubernetes operators, infrastructure-as-code (e.g., Terraform, Helm), and API/CLI tooling to deliver internal PaaS-style capabilities
Hands-on software engineering skills
Experience with Linux, Docker, and cloud providers (GCP and AWS)
Experience with distributed systems, including scaling, fault-tolerance, load-balancing, networking, and security
Knowledge of continuous delivery systems, such as Jenkins, TeamCity
Familiarity with configuration management systems and deployment tools (Ansible and Terraform)
Experience with continuous delivery using Kubernetes
Expertise in backend development with well-architected, maintainable code, automated testing, and scalable software design

Nice to have

Experience monitoring solutions, such as NewRelic, StackDriver, Prometheus, etc.
Familiarity with relational databases (e.g., Postgres, MySQL)

Designing and delivering a self-service Kafka platform that enables teams to easily provision and manage Kafka clusters across both cloud and on-premise environments
Delivering scalable and easy solutions to manage provisioning and configuration platform for all product and platform teams, addressing the issues of Configuration management (IaC) and CI/CD
Monitoring and optimising resource costs to ensure efficient use and minimise waste
Implementing out-of-the-box observability solutions for proactive system monitoring
Ensuring compliance with industry standards through automated processes and continuous checks

*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience