DevOps Engineer

• CCoE for key architectural decisions and backlog prioritization
• DevSecOps Pipelines for Infrastructure as Code
• Base VPC/network standards and HA/DR patterns
• GKE container management as the new microservices platform
• Authentication and authorization framework
• API security and platform integration
• Operational readiness through rigorous testing supported by an SRE model

Essential functions

• Focus is on native GCP services (GKE and no 3rd party or OSS platforms)
• GCP will be provisioned as code using Terraform
• Security testing & scanning tools will be decided during discovery
• Databases will be re-platformed to Cloud SQL
• Environment will be specified for up to 8 initial microservices (release plan finalized before end of Discovery)
• Design will include multi-zone, not multi-region

Qualifications

5-7 years of exp as a Devops engineer  who has significant experience working on Monorepo, Infra/Devops SDLC environment, GCP resource provisioning through IA/Terraform, Tekton CI/CD Pipelines,  

Integrating App Security - static/dynamic open source code scans, Artifact registry, JSON, Service mesh Istio,  Java/microservices deployment in GCP.  

Serverless and non-serverless (ie Kubernetes) microservices deployments.  

Observability and monitoring of microservices - GCP Native & Dynatrace.  

Needs to have a good background in networking, authorization and authentication IAM

Would be a plus

Experience with Apigee, Spring cloud gateway and other API Gateways a plus.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.