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
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