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GE Vernova

Sr DevOps Engineer

Sorry, this job was removed at 06:17 a.m. (IST) on Wednesday, Mar 04, 2026
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Job Description SummaryConsulting Services business is seeking a Senior Platform Engineer to support evolution of our integrated systems planning software. This role focuses on creating reliable, scalable, and developer-friendly platforms that support complex, model-driven workloads, large datasets, and long-running simulations. You will enable application engineers and energy system modelers to build, deploy, and operate planning capabilities efficiently and safely.

Job Description

Roles & Responsibilities

  • Design and operate Kubernetes-based runtime platforms for batch and service workloads
  • Support scheduling and orchestration of long-running and compute-intensive jobs
  • Define resource management, autoscaling, and workload isolation strategies
  • Partner with infrastructure teams on cluster lifecycle and capacity planning
  • Build and maintain CI/CD pipelines for application, model, and platform components
  • Automate environment provisioning and deployment workflows
  • Ensure reproducible builds and deployments across environments
  • Implement platform-level monitoring, logging, and alerting
  • Define platform SLIs/SLOs and reliability standards
  • Improve resilience and operational maturity of the platform
  • Support incident response and root-cause analysis as needed
  • Integrate security best practices into the platform (identity, secrets, access control)
  • Support auditability, traceability, and reproducibility requirements
  • Enable compliance with expectations common in utility and ISO/RTO environments
  • Partner closely with product, application engineering, data science, and modeling teams
  • Act as a technical advisor on platform and runtime design
  • Design and maintain internal platforms that abstract cloud and infrastructure complexity
  • Build self-service tooling for deploying services, models, and analytical workflows

Required Qualifications

  • 6+ years of experience in platform, infrastructure, or backend engineering
  • Strong experience with Kubernetes and containerized workloads
  • Experience building internal platforms or developer tooling
  • Proficiency with CI/CD systems and automation
  • Solid understanding of cloud platforms (AWS, Azure, or GCP)
  • Experience using toolsets like  Jenkins, Terraform , AQUA

Preferred Qualifications

  • Experience supporting data-intensive or simulation-driven systems
  • Familiarity with batch processing, distributed compute, or HPC-style workloads
  • Experience in regulated or mission-critical software environments
  • Exposure to energy systems, utilities, or grid planning (a plus)

Additional Information

Relocation Assistance Provided: Yes

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