Lead DevOps Engineer
Mindlance
Job ID: 26-21235Location: COLUMBUS, OHContact: Saurabh Shukla5Contact Email: View email address on click.appcast.io Phone: 7326926866Company: MindlanceTop Skills 5+ years experience GitHub Actions Java builds experience (preferably Maven/Gradle) Deployment tool experience (preferably Harness) Python builds/CICD (Continuous Integration/Continuous Delivery/Deployment) Kubernetes/OCP Should have worked in a large scale regulated industry and exposed to Devops in those orgs. Need to be aware of governance controls, audits, etc Nice to Have Automation frameworks (Ansible/Terraform PFE) AI agentic frameworks Kubernetes certification Devops certification Bachelor’s in Engineering/Compsci Lead DevOps Engineer: We are seeking a hands on Platform Engineer to design, build, and operate scalable, cloud native platforms that enable secure and efficient application delivery. This role focuses on Kubernetes and OpenShift platforms, GitOps driven CI/CD workflows, and automation across OCP, Azure and GCP. The ideal candidate is passionate about developer enablement, infrastructure as code, and building resilient, self service platforms using modern automation and cloud technologies. What we are expecting:
- Hands on DevOps and platform engineering expert driving DevOps transformation, Infrastructure as Code (IaC), and GitOps based delivery models.
- Designed and enabled end to end DevOps workflows, integrating infrastructure automation with CI/CD pipelines (GitOps / GitHub Actions) to support microservices deployment at scale.
- Automated microservices deployments across Kubernetes and OCP environments, achieving 100% deployment automation using Harness, reducing manual errors, and significantly improving release speed and reliability.
- Implemented GitOps workflows using declarative configurations and JSON/YAML based pipelines, ensuring consistency, repeatability, and auditability across environments.
- Enabled cloud native platform delivery across Azure and GCP, aligning infrastructure, application deployment, and security controls through code.
- Embedded DevSecOps practices, observability, and pipeline instrumentation to improve visibility into pipeline performance, failures, and operational trends, accelerating troubleshooting and reducing MTTR.
- eveloped automation and tooling using Python, integrating with CI/CD, infrastructure provisioning, and deployment workflows.
- Established centralized version tracking and release visibility, improving governance, traceability, and consistency across global data centers and cloud platforms.
- Strong collaborator focused on developer enablement, self service platforms, and continuous delivery excellence through pragmatic, production grade engineering.
EEO:
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