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

GCP Application Arch with 4-5 Microservices with approach to Security, DR/BCP, Cost Monitoring, Logging, Autoscale (up and down for Compute and storage resources),etc.

GCP Micro-services Platform Configuration

Functions, GKE, IAM, KMS, Storage, Compute Engine, Google Resource Manager, Database (MS SQL), Bigtable, Cloudrun, Pub/Sub

DevSecOps/IaC Automation

Jira, Jenkins, GitHub, Terraform, Cloud Deployment Manager, Python

CoE Collaboration

Help align program workstream deliverables and timing e.g. “wall-walk”

Determine cloud security and networking requirements for overlay

Establish CI/CD and Security Tooling standards – Jenkins, GitHub, Artifactory, Veracode, Twistlock, etc.

Prepare for “day 2” SRE with integrated alerting, monitoring, logging, distributed tracing, backups, etc. (and collaboratively select services and tools)

Epics/Features For Backlog And Testing

Authentication and Authorization, API Security, DR Patterns, VPC Standards, CICD/IaC Pipeline Implementation, Go-Live to Prod MVPs, Day 2 Ops MVPs, GKE Container Mgmt MVP, Security Incident Response

Qualifications

4-8 years of exp as a Devops engineer who has significant exp 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

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

Would be a plus

Experience on Google Cloud

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.