SRE Production DevOps

Job Description Summary

The Production DevOps Engineer serves as a critical link in the "Middle-Mile" of software delivery for the GE Vernova's Grid Software SaaS products. This role is responsible for ensuring that software moves from development to production environments through a standardized, secure, and highly observable path. You will own the Change Management Process, serving as a primary authority for production deployments to ensure that new SaaS product versions do not compromise the stability of global energy grid operations. This position requires a strong technical background in automation and a disciplined approach to release safety in a 24/7 operational environment.
Works independently and is seen as a Technical Leader. The role demonstrates deep understanding of concurrent software development, its effect on build management and releasing the builds across versions and environments

• Golden Path Execution: Maintain and improve standardized CI/CD pipelines using GitHub Actions and ArgoCD, ensuring all product teams follow the established "Golden Path" to avoid bespoke, non-standard deployment utilities.
• Policy Enforcement: Implement and manage automated "quality gates" within the delivery pipeline to verify that every release meets security and architectural standards before reaching production.
• Provisioning Support: Assist the SaaS Cloud Engineers in automating highly secure, resilient customer's cloud infrastructure.

• Change Control Authority:Review and provide final approval for production deployment requests, ensuring all pre-release criteria-such as performance testing and security scanning-are satisfied.
• Progressive Delivery:Execute advanced rollout strategies, including Canary and Blue/Green deployments on Kubernetes, to minimize the "blast radius" of changes .
• Validation:Perform automated verification and acceptance testing post-deployment to confirm service health and trigger automated rollbacks if necessary.

• 24/7 Follow-the-Sun Support: Participate in global on-call rotations, ensuring a seamless transition of operational responsibility between time zones through standardized handover protocols.
• Incident & Root Cause Analysis: Support high-severity incident response and participate in blameless Root Cause Analysis (RCA) to identify and fix systemic deployment risks .
• FinOps & Capacity: Track and report on cloud resource consumption for CI/CD infrastructure, assisting in cost-optimization efforts and right-sizing production workloads.

• CI/CD & GitOps: Hands-on experience with Jenkins, Artifactory, GitHub Actions and ArgoCD for automated software delivery.
• Container Orchestration: Proficiency in managing workloads on Kubernetes, specifically with EKS clusters.
• Automation Tools:Strong skills in Ansible and Terraform for configuration management and infrastructure-as-code.
• Cloud Platform: Solid understanding of AWS cloud services (VPC, IAM, EKS, RDS, S3, MSK, etc) in a production setting.
• Observability:Experience using Prometheus, Grafana, Splunk, Datadog or Dynatrace to monitor deployment health and system performance.
• Scripting: Experience building dynamic build pipelines using Groovy Script, Python, Bash or Go languages.

• Professional Background: 3-5 years of experience in DevOps, SRE, or Release Engineering roles for cloud-native SaaS applications.
• Operational Discipline:Proven ability to manage production changes and troubleshooting under pressure in a high-stakes environment.
• Compliance Awareness: Familiarity with regulated industries and security frameworks such as NERC CIP, SOC2, ISO 27001, IEC 62443 is highly preferred.
• Communication: Strong ability to document technical procedures and communicate clearly with stakeholders during global shift handovers.

• Customer Onboarding Speed: Contribution towards the 4-hour SLA target.
• System Availability:Help maintain 99.99% availability of mission critical grid SaaS products.
• Change Failure Rate:Maintaining a low rate of failed production deployments through improved quality gates .
• Mean Time to Recover (MTTR): Ensuring fast restoration of service through automated rollbacks and clear runbooks .
• Toil Reduction: Automating repetitive manual tasks to ensure at least 50% of time is spent on engineering improvements.