Services Integration GCP Apigee

Able to demonstrate a passion to continue to learn and develop your engineering skills

Scope of services:

As infrastructure engineers within the Integration GCP team, the scope of service includes:

Design, Build, and Operate: Deliver and maintain secure, automated GCP API Management platform capabilities, supporting both API Gateway and broader integration products.

Platform Enablement: Enable product teams to deliver API-first services at pace, leveraging reusable patterns and robust integration tools.

Infrastructure Automation: Develop and maintain Infrastructure as Code (IaC) solutions for provisioning and managing Azure resources, ensuring repeatability and compliance.

Security & Compliance: Embed security best practices and controls throughout the platform lifecycle, safeguarding organisational and customer data.

Performance & Reliability: Define, monitor, and operate against service level objectives (SLOs/SLIs), ensuring high availability, performance, and fault tolerance.

Continuous Improvement: Drive automation, observability, and performance tuning to reduce manual effort and improve platform reliability.

Collaboration: Work closely with architecture and feature teams to evolve the cloud roadmap and platform products, contributing to documentation and enablement.

Mentoring & Standards: Mentor team members and uphold engineering standards, fostering a culture of continuous learning and improvement.

SRE role specifics in addition to above:

Be hands-on engineering, maintaining our Infrastructure as Code and CI/CD pipeline-based product and services by responding to change, implementing enhancements & improving reliability and customer experience

Observing, investigating & fixing service issues, with an engineering attitude resolving via code changes and implementing improvements to prevent repeat issues

Implementing further automation and reducing toil, by utilising existing Cloud tooling or implementing new technologies

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 (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.

Certifications: Relevant GCP certifications are desirable.

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

Strong knowledge of incident management and issue resolution