Site Reliability Engineer-- API Integration

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).

• Infrastructure as Code:
  Proficiency with Terraform (minimum), Jenkins, and modern CI/CD systems (Git Hub 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, Power Shell, or Python. Familiarity with Hashi Corp 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 in addition to above:

• Relevant Certifications to the required Service (GCP)
• Strong Dev Ops 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, Power Shell
• 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