Job Description

: GCP Platform Engineer / SRE
1. In Scope Technologies / Products * GCP Cloud

• GCP API Management (Apigee) Infrastructure
• GCP Networking
• GCP Cloud Armor
• GCP Load Balancer
• GCP Kubernetes Service (GKE)
• GCP Storage
• HashiCorp Terraform
• HashiCorp Vault
• Harness
• Containers
• Backstage

2. Skillsets Required
Cloud Platform Engineering

• Proven experience designing, building, and operating secure, automated cloud platform capabilities with a focus on Azure (with readiness to cross train in GCP as required).

Infrastructure as Code (IaC)

• Strong proficiency with Terraform (minimum).
• Experience with modern CI/CD systems such as GitHub Actions, Harness, and Jenkins.

API Management

• Deep understanding of GCP API Management (Apigee) infrastructure and API Gateway solutions.
• Familiarity with API design and security standards (REST/OpenAPI, authentication/authorisation, mTLS, certificate lifecycle management).

Networking & Security

• Hands on experience with GCP Cloud Armor, GCP Networking, and implementation of secure by design controls across platform lifecycle.

Containers & Orchestration

• Experience with GKE, container runtimes, and service mesh patterns (e.g., Istio).

Automation & Observability

• Ability to implement actionable observability solutions.
• Performance tuning and automation to reduce toil.
• Experience defining and operating to SLOs/SLIs.

Scripting & Tooling

• Proficiency 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

• GCP certifications are desirable.

3. SRE Role Additional Requirements

• Relevant GCP certifications aligned to the service.
• Strong DevOps background with experience in IaC and CI/CD pipelines (Terraform, Jenkins).
• Ability to quickly understand, update, and write code (Python, Groovy, Bash, PowerShell).
• Demonstrable expertise in modular, maintainable IaC design.
• Strong understanding of cloud security, networking, and APIs.
• Excellent troubleshooting and problem solving capability.
• Hands on experience with observability tooling (including Observability as Code and SLO based Dynatrace monitoring).
• Strong understanding of source control practices and collaborative engineering.
• Experience developing and administering Kubernetes clusters in production.
• Strong focus on automation and toil reduction.
• Good knowledge of incident management and issue resolution processes.
• Demonstrated passion for continuous learning and engineering excellence.

4. Scope of Services
As Infrastructure Engineers within the Integration GCP team, responsibilities include:
Design, Build & 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 using reusable patterns and robust integration tools.

Infrastructure Automation

• Develop and maintain IaC solutions for provisioning and managing Azure and GCP resources, ensuring consistency, repeatability, and compliance.

Security & Compliance

• Embed security best practices throughout the platform lifecycle to safeguard organisational and customer data.

Performance & Reliability

• Define, monitor, and operate against SLOs/SLIs to ensure availability, performance, and resilience.

Continuous Improvement

• Drive automation, observability enhancement, and performance tuning to reduce manual effort and improve reliability.

Collaboration

• Work closely with architecture and feature teams to evolve the cloud roadmap and platform products.
• Contribute to documentation, technical enablement, and engineering standards.

Mentoring

• Mentor team members and promote a culture of continuous learning.

5. SRE Role Additional Service Responsibilities

• Hands on engineering ownership of IaC and CI/CD pipeline based products and services.
• Respond to change requests, implement enhancements, and improve reliability and customer experience.
• Observe, investigate, and resolve service issues using an engineering mindset resolving issues through code, automation, and root cause elimination.
• Implement automation to remove manual toil by leveraging existing cloud tooling or integrating new technologies.

Skills Required