Staff DevOps Engineer

What you’ll do

• Lead the design, implementation, and ongoing improvement of reliable, scalable, performant, and secure production platforms and services.
• Work closely with cross-functional teams to build and maintain resilient infrastructure and deployment patterns.
• Provide technical leadership and mentorship to engineers across the organisation, promoting strong engineering standards and operational best practice.
• Participate in a 24x7 on-call rotation to support critical services and ensure platform availability.
• Drive standardisation, automation, and documentation to improve consistency, reduce operational overhead, and support knowledge sharing.
• Contribute across the full lifecycle of platform and service delivery, from design and build through to operation and optimisation.

Essential skills and experience

• 5+ years of experience in DevOps, SRE, platform engineering, or software engineering roles.
• Strong Kubernetes experience at scale, with deep understanding of containers and container orchestration.
• Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.
• Strong programming skills in at least one object-oriented language, along with effective scripting and automation capability.
• Strong understanding of security principles and best practices across infrastructure, platforms, and services.
• Significant hands-on experience in at least one major cloud platform, with broad exposure across AWS, GCP, or OCI.
• Strong monitoring, alerting, and observability experience using tools such as Prometheus, Grafana, or similar platforms.
• Solid understanding of networking fundamentals and distributed systems.
• Strong Linux and/or Windows systems administration experience.
• Experience with software delivery automation, CI/CD pipelines, and secure SDLC practices, including exposure to static and dynamic security testing.
• Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.
• Experience managing and scaling Elasticsearch in production is strongly preferred.

Preferred skills

• Kafka
• MySQL and/or PostgreSQL
• Redis
• Networking