Lead Devops Engineer
About The Position
Bright Vision Technologies is seeking a highly experienced Lead Devops Engineer to define, govern, and drive adoption of enterprise-wide DevOps, Platform Engineering, and Observability standards across technology stacks and application environments. This onsite role is based in Columbus, Ohio and requires 15+ years of experience. The engineer will build and optimize CI/CD pipelines, manage AWS infrastructure, develop Infrastructure as Code, monitor system health, troubleshoot infrastructure and application issues, and collaborate with developers to improve deployment workflows and reliability. The position also involves supporting containerized workloads, maintaining logging and incident-response processes, optimizing AWS costs and performance, and documenting infrastructure and operational procedures. The role includes using AI and emerging technologies to improve productivity and workflows, including AI-assisted drafting, refactoring, and reviewing of Terraform modules and Kubernetes/ECS manifests. AI tools must be used responsibly, securely, and in compliance with applicable standards.
Requirements
- 15+ years of experience in DevOps, SRE, or related roles.
- Hands-on experience with AWS services, particularly ECS, EKS, and EC2.
- Experience writing and maintaining Infrastructure as Code using Terraform.
- Experience with monitoring and observability tools, especially Grafana.
- Familiarity with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
- Experience with Docker containerization.
- Working knowledge of Linux systems and networking fundamentals.
- Scripting experience with Bash, Python, or similar.
- Ability to independently handle day-to-day infrastructure and deployment tasks.
- Ability to debug issues across application and infrastructure layers.
- Takes ownership of services such as a cluster, pipeline, or environment.
- Knows when to escalate complex architectural decisions.
- Proactively identifies reliability, performance, and cost improvements.
- Experience applying AI to DevOps practices, including infrastructure automation, CI/CD optimization, incident investigation, observability, and operational efficiency.
Responsibilities
- Build, maintain, and optimize CI/CD pipelines for reliable application deployments.
- Manage and improve AWS infrastructure across ECS, EKS, and EC2 environments.
- Develop and maintain Infrastructure as Code using Terraform.
- Monitor system health and performance using Grafana and supporting observability tools.
- Troubleshoot infrastructure and application issues in staging and production environments.
- Collaborate with developers to improve deployment workflows and system reliability.
- Support containerized workloads using Docker and Kubernetes (EKS).
- Implement and maintain logging, alerting, and incident-response processes.
- Contribute to cost optimization and performance tuning within AWS.
- Maintain clear documentation for infrastructure, processes, and runbooks.
- Leverage AI and emerging technologies to improve productivity, streamline workflows, and identify opportunities for continuous improvement while ensuring responsible, secure, and compliant use of AI tools.
- Use AI-assisted tooling to draft, refactor, and review Terraform modules and Kubernetes/ECS manifests while maintaining quality and security standards.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
