DevOps Engineer(W2 only)

Job Title: Devops EngineerLocation:Richmond VADuration of Contract: Long termDescriptionWe are seeking a senior DevOps Engineer to join our platform organization and help drive the architecture, enablement, and operational maturity of shared engineering infrastructure.This is a hands-on senior individual contributor role focused primarily on platform architecture and enablement. The role is best suited for a senior DevOps/platform hybrid who can design reusable platformcapabilities, improve developer workflows, and strengthen the reliability, scalability, and cost-efficiency of cloud environments used across engineering.You will lead complex infrastructure and developer-enablement initiatives, define team best practices, drive adoption of platform patterns across teams, and raise the standard for cloud operations, observability, and incident response.Key Responsibilities Design and evolve reusable platform capabilities that improve developer experience, deliveryconsistency, and operational reliability. Lead technical design reviews for platform and infrastructure initiatives and help drive soundarchitectural decisions across teams. Define and implement team best practices for CI/CD, infrastructure automation, cloud operations, and platform guardrails. Build and maintain scalable Infrastructure as Code patterns, shared modules, and deployment workflows that enable safe self-service. Design and improve cloud infrastructure for reliability, scalability, performance, and cost efficiency. Lead significant DevOps and cloud operations initiatives across shared services and platformenvironments. Drive observability standards through dashboards, alerting, service health instrumentation, and operational feedback loops. Lead incident response for platform and shared-services issues and improve operational readiness through follow-up remediation and runbooks. Build automation services and internal tooling that reduce delivery friction and improve engineering effectiveness. Drive cross-team adoption of platform patterns, workflows, and operational standards.Tools Cloud & Infrastructure: AWS, Terraform CI/CD & Delivery: GitHub Actions, Bitbucket Pipelines Containers & Orchestration: Docker, Kubernetes, Amazon EKS Languages & Automation: Python, Go, Bash Observability & Operations: logging, metrics, dashboards, alerting, and service health tooling Developer Enablement: internal platform tooling, automation services, reusable templates, and workflow guardrails AI-Assisted Engineering: AI-enabled tooling for scripting, troubleshooting, documentation, incident analysis, and workflow accelerationAI-Assisted Engineering and Platform Enablement Evaluate AI-enabled tooling that can improve platform engineering workflows, operational efficiency, and developer enablement. Identify practical uses of AI for infrastructure automation, incident analysis, troubleshooting,documentation, and workflow acceleration. Help define safe team patterns and guardrails for AI use in DevOps and platform engineeringworkflows. Validate AI-generated infrastructure definitions, scripts, recommendations, and operational outputs before adoption. Ensure AI-assisted workflows align with security, privacy, access control, and compliancerequirements.Required Skills & Qualifications Strong experience in DevOps, platform engineering, cloud infrastructure, or related infrastructure- focused software engineering roles. Strong hands-on experience with cloud platforms and shared infrastructure design, preferably in AWS environments. Experience designing and improving CI/CD systems, infrastructure automation, and developer- enablement tooling. Strong experience with Infrastructure as Code, including reusable patterns and modular design, preferably with Terraform. Experience improving reliability, observability, and operational maturity for shared services or platform environments. Strong understanding of cloud architecture, scaling patterns, deployment safety, service reliability, and operational risk. Experience leading technical design discussions and influencing engineering standards without formal people management responsibility. Strong scripting and software engineering ability, preferably in Python or Go. Experience driving incident response, remediation, and operational improvements in sharedenvironments. Experience analyzing and improving cloud cost efficiency and operational performance.Preferred Qualifications Experience building internal platform tooling, automation services, or shared cloud services used by multiple engineering teams. Experience with GitHub Actions, Bitbucket Pipelines, Kubernetes, and EKS. Experience designing reusable deployment templates, shared CI/CD patterns, and platform guardrails. Experience with cross-team platform adoption and developer enablement in growing engineering organizations. Experience defining operational standards for logging, metrics, tracing, alerting, and service health. Experience evaluating AI-assisted engineering tools in enterprise or regulated environments. Familiarity with compliance-aligned cloud engineering practices and secure-by-default platform patterns.