DevOps Engineer(W2 only)

Job Title: Devops Engineer

Location:Richmond VA

Duration of Contract: Long term Description

We 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 platform capabilities, 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, delivery consistency, and operational reliability.

 Lead technical design reviews for platform and infrastructure initiatives and help drive sound architectural 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 platform environments.

 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 acceleration AI-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 engineering workflows.

 Validate AI-generated infrastructure definitions, scripts, recommendations, and operational outputs before adoption.

 Ensure AI-assisted workflows align with security, privacy, access control, and compliance requirements.

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 shared environments.

 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.