DevOps Engineer

Insight Global
Richmond, VA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$45,760.0 - $52,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Continuous Integration Information Engineering DevOps Github Monitoring of Systems PostgreSQL Reliability Engineering Azure Machine Learning Software Engineering
+12 more
Data Logging System Availability Delivery Pipeline Grafana Software Troubleshooting Containerization Kubernetes Infrastructure Automation Frameworks Information Technology Data Management Terraform Software Version Control

Job description

We are seeking a Mid-Level DevOps Engineer to support and enhance our cloud infrastructure, deployment processes, and containerized environments. The work authorization is not specified and pay range $22-25/hr. This role will work closely with software developers, data teams, and other technical stakeholders to troubleshoot issues, improve platform reliability, and help drive the continued evolution of our DevOps practices.

This is an excellent opportunity for someone who has a solid foundation in cloud technologies and infrastructure automation and is looking to continue growing their expertise in CI/CD, Terraform, and cloud-native technologies.

Responsibilities

Support and maintain cloud infrastructure primarily within AWS environments.

Manage and troubleshoot containerized applications running in Kubernetes/EKS environments.

Assist with deployment processes and CI/CD pipeline improvements.

Collaborate closely with software engineering and data teams to resolve infrastructure and application issues.

Monitor system performance, identify root causes of issues, and implement solutions.

Support infrastructure as code (IaC) initiatives using Terraform.

Maintain and improve GitHub-based source control and deployment workflows.

Contribute to platform reliability, scalability, security, and operational excellence.

Participate in troubleshooting production and non-production environments.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Requirements

3+ years of experience in a DevOps, Cloud, Site Reliability, or Infrastructure Engineering role.

Experience working with AWS cloud services and core AWS primitives.

Hands-on experience with Kubernetes, including understanding of services, deployments, networking, and container orchestration concepts.

Experience supporting or administering Amazon EKS.

Familiarity with GitHub and modern software development workflows.

Strong troubleshooting and problem-solving skills.

Experience collaborating with software development teams and technical stakeholders.

Understanding of CI/CD concepts and best practices. Experience with Terraform and Infrastructure as Code.

Exposure to building and maintaining CI/CD pipelines.

Knowledge of PostgreSQL administration or support.

Experience supporting data platforms or working alongside data engineering teams.

Familiarity with AI/ML platforms, tooling, or infrastructure.

Experience with monitoring, logging, and observability tools.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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