Posted a month ago
Description
Cloud Platform Engineering: Proven experience designing, building, and operating secure, automated cloud platform capabilities, with a focus on Azure (and readiness to cross-train in GCP if needed).
Technical Responsibilities
- Infrastructure as Code: Proficiency with Terraform (minimum), Jenkins, and modern CI/CD systems (GitHub Actions, Harness, Jenkins).
- API Management: Deep understanding of GCP API Management (Apigee) infrastructure, and API Gateway solutions. Familiarity with API design and security (REST/OpenAPI, authentication/authorisation, mTLS, certificate lifecycle).
- Networking & Security: Experience with GCP Cloud Armor, GCP Networking, and embedding secure‑by‑design controls from design to runtime.
- Containers & Orchestration: Hands‑on with GCP Kubernetes Service (GKE), containers, and service‑mesh patterns (e.g., Istio).
- Automation & Observability: Implementing actionable observability, performance tuning, and automation to reduce toil. Defining and operating against SLOs/SLIs.
- Scripting & Tooling: Scripting in Bash, PowerShell, or Python. Familiarity with HashiCorp Vault, Harness, and Backstage is desirable.
- Collaboration & Mentoring: Ability to mentor engineers, contribute to communities of practice, and uphold platform engineering standards.
SRE Role Specifics
SRE role specifics in addition to above:
- Relevant Certifications to the required Service (GCP)
- Strong DevOps understanding, including experience of Infrastructure as Code and CI/CD pipelines, such as Terraform and Jenkins.
- Ability to quickly understand, update and write code in languages such as Python, Groovy, BASH, PowerShell
- Strong knowledge of Infrastructure as Code and creating modular, easy to maintain code
- A strong understanding of Cloud security, networking and APIs
- Experience in problem‑solving, able to demonstrate logical thinking and excellent troubleshooting skills
- Hands‑on with Observability Tooling (Observability as Code and SLO‑based Dynatrace Monitoring)
- Strong understanding and demonstrable use of source control practice and collaborative working as part of an engineering team
- Experience of developing and administrating Kubernetes clusters in a production environment
- Strong experience in automating to remove toil
