Sr Dev Ops Engineer

Lead the migration of CI/CD pipelines from Jenkins to Harness, ensuring seamless transition and improved deployment capabilities.

Design, implement, and maintain robust CI/CD pipelines using Harness as the primary deployment platform, with expertise in migrating legacy Jenkins workflows.

Build and optimize GKE-based infrastructure with focus on scalability, reliability, and developer self-service capabilities.

Lead technical initiatives to migrate Google Cloud VMware Engine (GCVE) workloads to native GCP services and GKE platforms.

Implement GitOps workflows using Harness and GKE, ensuring declarative infrastructure management and automated deployment processes.

Design and implement infrastructure-as-code using Terraform and Ansible to automate and standardize GCP deployments.

Lead technical initiatives to migrate legacy applications from on-premises infrastructure (VMS, traditional servers) and Google Cloud VMware Engine (GCVE) to GKE cloud-native platforms.

Drive the migration of existing Jenkins-based CI/CD pipelines to Harness, ensuring feature parity and improved deployment capabilities.

Collaborate with application teams to assess, plan, and execute GCVE-to-GKE migration strategies that minimize business disruption.

Develop standardized migration patterns and automation frameworks using Harness and GKE to accelerate application transformation efforts.

Implement containerization strategies and Kubernetes deployment patterns for legacy workloads transitioning from GCVE environments.

Lead projects across application teams to ensure adherence to best practices for GKE infrastructure and Harness-based deployment workflows.

Collaborate with development teams to onboard applications from Jenkins to Harness and onto GKE, ensuring smooth integration and deployment processes while balancing developer productivity needs with enterprise requirements.

Work closely with Technical Product Managers to translate business requirements into technical solutions using GKE and Harness platform capabilities.

Collaborate with architecture teams in discussions and decision-making related to GKE architecture, Harness pipeline design, and GCVE migration strategies.

Drive modern agile practices within platform engineering teams, including sprint planning, retrospectives, and continuous improvement methodologies to maintain team focus and delivery excellence.

Implement and manage comprehensive cloud governance strategies, including InsightCloudSec, Cost Governance, Compute Governance, and overall Cloud Governance for the Enterprise.

Implement and enforce security best practices, including Workload Identity, Identity & Access Management (IAM), and other enterprise security initiatives.

Configure auto-scaling, load balancing, and resource allocation for efficient cluster utilization and cost optimization.

Enforce cluster policies using GKE Policy & Config Management and ensure compliance with enterprise standards.

Continuously monitor and optimize the performance, security, and scalability of cloud infrastructure and applications.

Implement comprehensive observability solutions and establish SLIs/SLOs for platform services.

Troubleshoot and resolve issues related to DevOps and cloud infrastructure, ensuring minimal downtime and maximum availability.

Drive automation initiatives to eliminate manual processes and improve operational efficiency.

Stay current with the latest trends and best practices in platform engineering, cloud-native technologies, and GitOps practices.

Evaluate and recommend new technologies and tools that enhance platform capabilities and developer experience.

Contribute to the development of internal tooling and frameworks that accelerate engineering productivity.

Champion modern agile methodologies and team practices, including establishing clear team ceremonies, metrics-driven development, and continuous feedback loops.

Lead by example in promoting focused work practices, sprint accountability, and iterative improvement within the platform engineering organization.

Advanced expertise in Google Kubernetes Engine (GKE), including GKE standard, GKE Enterprise, and GKE Autopilot configurations.

Proven experience with Harness platform for CI/CD, including pipeline design, deployment strategies, and GitOps workflows.

Strong background in migrating CI/CD pipelines from Jenkins to Harness, with understanding of pipeline conversion strategies and best practices.

Experience with Google Cloud VMware Engine (GCVE) and expertise in migrating GCVE workloads to native GCP services and GKE.

Significant knowledge of Infrastructure-as-Code principles using Terraform and Ansible for GCP and GKE automation.

Experience leading cloud migration initiatives from legacy systems (VMS, GCVE, traditional infrastructure) to modern GKE-based platforms.

Deep understanding of Google Cloud Platform services, with specific focus on GKE, Cloud Build, Artifact Registry, and networking.

Proficiency in Harness-specific features including continuous verification, policy management, and deployment strategies (blue-green, canary, rolling).

Experience with Cloud Governance practices, including cost optimization, security compliance, and resource management within GKE environments.

Strong scripting capabilities (Python, Bash, Go) for automation and tooling development, particularly for Harness and GKE integrations.

Strong troubleshooting and problem-solving skills with the ability to diagnose and resolve complex technical issues in GKE and Harness environments.

Excellent collaborative skills with proven ability to work across diverse teams and communicate GKE and Harness technical concepts to both technical and non-technical stakeholders.

Strong leadership capabilities for mentoring junior engineers, leading Jenkins-to-Harness migration initiatives, and driving modern agile team practices.

Experience implementing and coaching agile methodologies, sprint planning, retrospectives, and team focus techniques within technical teams.

Experience with monitoring and observability tools integrated with GKE and Harness (AppDynamics, Splunk, Prometheus, etc.) and establishing reliability practices.

Continual learning mindset, staying updated with the latest GKE features, Harness capabilities, and modern platform engineering practices.