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Job Description: GCP Platform Engineer / SRE
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
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.
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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.
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.
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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.
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Skills
GCP
Apigee
Terraform
GKE
Kubernetes
CI/CD
Cloud Armor
HashiCorp Vault
Harness
Python
Bash
PowerShell
Istio
SRE
API Management
Networking