Lead DevOps Engineer:

Mindlance

COLUMBUS, OH

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JOB DETAILS

SKILLS

Analysis Skills, Applications Security, Automation, Building Codes, Cloud Computing, Code Reviews, Consulting, Continuous Deployment/Delivery, Continuous Integration, DevOps, Embedded Systems, GCP (Good Clinical Practices), GitHub, Identify Issues, Instrumentation, JSON, Machine Tool, Microservices, Microsoft Windows Azure, Network Operations Center, Python Programming/Scripting Language, Regulatory Compliance, Scalable System Development, Software Engineering, Traceability

LOCATION

COLUMBUS, OH

POSTED

30+ days ago

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

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:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

About the Company

Mindlance

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