Job Description
Job Description:
In Scope Technologies / Products
- Google Cloud Platform (GCP)
- 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
Core Skill Set Requirements:
Cloud Platform Engineering
- Proven experience designing, building, and operating secure, automated cloud platform capabilities.
- Strong grounding in Azure with readiness to cross train and operate within GCP environments.
Infrastructure as Code (IaC)
- Proficiency with Terraform (minimum requirement).
- Experience with Jenkins and 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 (REST/OpenAPI), authentication/authorisation patterns (OAuth, mTLS), and certificate lifecycle management.
Networking & Security
- Experience with GCP Networking and GCP Cloud Armor.
- Ability to embed secure by design controls across the platform lifecycle.
Containers & Orchestration
- Hands on experience with GCP Kubernetes Service (GKE), containers, and service mesh technologies (e.g., Istio).
Automation & Observability
- Experience implementing actionable observability, SLO/SLI frameworks, and performance tuning.
- Focus on automation and reducing operational toil.
Scripting & Tooling
- Strong scripting skills in Bash, PowerShell, or Python.
- Familiarity with HashiCorp Vault, Harness, and Backstage (desirable).
Collaboration & Leadership
- Ability to mentor engineers, contribute to communities of practice, and uphold platform engineering standards.
Certifications
- Relevant GCP certifications are highly desirable.
SRE Additional Role Specific Competencies:
- Relevant certifications for GCP based services.
- Strong DevOps background with experience in IaC and CI/CD pipelines (Terraform, Jenkins).
- Ability to quickly understand, update, and write code in Python, Groovy, Bash, and PowerShell.
- Deep understanding of cloud security, networking, and APIs.
- Strong troubleshooting, logical thinking, and problem solving ability.
- Hands on experience with observability tooling, including Observability as Code and SLO based Dynatrace monitoring.
- Strong knowledge of source control practices (Git) and collaborative engineering workflows.
- Experience developing and administering Kubernetes clusters in production environments.
- Strong background in automation to eliminate toil.
- Solid understanding of incident management and issue resolution.
- Demonstrated passion for continuous learning and skill development.
Scope of Services:
As part of the Integration GCP Infrastructure Engineering team, the responsibilities include:
Design, Build, and Operate
- Deliver and maintain secure, automated GCP API Management platform capabilities.
- Support API Gateway and broader integration platform products.
Platform Enablement
- Enable product teams to deliver API first services using reusable patterns and integration tooling.
Infrastructure Automation
- Develop and maintain Terraform-based IaC solutions for provisioning and managing cloud resources.
- Ensure consistency, repeatability, and ptimizeional compliance.
Security & Compliance
- Embed security controls and best practices across design, deployment, and runtime.
Performance & Reliability
- Define, monitor, and operate against SLOs/SLIs to ensure high availability and resilience.
Continuous Improvement
- Drive automation, ptimize observability, and reduce manual effort through tooling improvements.
Collaboration
- Work closely with architecture, engineering, and feature teams to evolve the cloud roadmap.
- Contribute to documentation, knowledge sharing, and platform enablement.
Mentoring & Standards
- Mentor team members and uphold engineering and operational standards.
- Foster a culture of continuous learning and excellence.
SRE Additional Responsibilities:
- Hands on engineering to maintain IaC and CI/CD pipeline based products and services.
- Observe, investigate, and resolve service issues with an engineering first mindset.
- Implement automation to reduce toil and improve reliability using existing cloud tooling or new solutions.
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