**Program Description:** **NOTE**__**:**__ This is a short-term position with an expected duration of April 1, 2026 - September 15th, 2026. This program provides IT services focused on building, securing, and operating the Department of Veteran Affairs LGY’s home loan product-line technology. The contract’s purpose is to modernize and sustain critical home loan technology systems that support LGY’s delivery of mortgage-related services to program stakeholders, to provide continuous delivery and security integration. **Position Description:** This position focuses on creating and modifying pipelines using GitHub Enterprise Cloud repositories. The role requires expertise in developing and maintaining pipelines using Jenkins servers and troubleshooting deployment issues. Candidates should incorporate metrics such as Mean Time To Build (MTTB) and Mean Time To Deploy (MTTD). Experience with multiple CI/CD tools, Git Actions, and code scanning tools like CodeQL, Fortify, SonarQube, and Nexus is desired. Familiarity with automation tools such as Selenium, Cucumber, Maven, and AWS CodeBuild/CodeDeploy is advantageous. **Responsibilities:** · CI/CD Pipeline Engineering Design, implement, and maintain CI/CD pipelines aligned to team and program delivery practices. · Create and modify pipeline definitions and workflows tied to GitHub Enterprise Cloud repositories. · Develop and maintain pipeline jobs and shared libraries on Jenkins (pipelines-as-code, scripted/declarative approaches as applicable). · Standardize pipeline patterns and reusable templates to reduce duplication and improve maintainability. · Deployment Troubleshooting & Operational Support Diagnose and resolve build failures, deployment issues, and environmental inconsistencies across lower and higher environments. · Perform root cause analysis (RCA) and implement corrective actions to prevent recurring failures. · Partner with engineering, QA, security, and platform teams to remediate pipeline blockers and streamline deployments. · DevSecOps Metrics & Continuous Improvement Instrument and report delivery metrics including MTTB and MTTD; identify bottlenecks and implement improvements. · Monitor pipeline performance (queue time, build duration, failure rates, flaky tests) and drive optimization. · Improve automation coverage and reduce manual steps through pipeline enhancements. · Security & Code Quality Integration (“Shift Left”) Integrate code scanning and quality gates into pipelines using tools such as: CodeQL, Fortify, SonarQube, and artifact/repository controls like Nexus Ensure pipelines enforce consistent security and quality checks prior to merge/release. · Collaborate with security stakeholders to tune scanning thresholds, manage findings, and support remediation workflows. · Automation Enablement Implement or enhance automation steps using tools such as: Selenium, Cucumber, Maven Support automated build/test/deploy stages and improve feedback loops to developers. · Documentation & Enablement Document pipeline standards, usage guides, and operational runbooks. · Provide guidance and mentoring to teams on CI/CD best practices, branching strategies, and pipeline troubleshooting.

• Design and implement a CMMC-aligned GitLab architecture supporting 250–500+ users • Deploy and operate self-managed GitLab on Kubernetes using Crossplane • Architect secure GitLab runner strategies (pooling, isolation, autoscaling) for mixed workloads • Evaluate and document architectural approaches (single vs. segregated GitLab instances) with clear tradeoff analysis • Translate NIST 800-171 and CMMC requirements into enforceable GitLab configurations and access controls • Implement configuration-as-code using Terraform (e.g., GitLab provider) to ensure versioned, auditable, and repeatable platform management • Design and implement RBAC, least-privilege models, and segregation of duties • Establish drift detection and audit mechanisms to monitor and remediate unauthorized changes • Integrate GitLab into the broader Kubernetes platform ecosystem, including GitOps workflows (e.g., ArgoCD) • Produce architecture documentation, runbooks, and reference patterns to enable internal ownership and long-term sustainability • Collaborate with cybersecurity, architecture review boards, and platform teams to validate compliance and design decisions

• Design, implement, and test the build, deployment, and configuration management solutions in a Microsoft based implementation • Build and test the automation tools for infrastructure provisioning • Manage CI and CD processes, tools, and configurations with the team • Contribute to new ideas and ways to improve development delivery • Provide technical guidance and educate team members and coworkers on DevOps methodologies, and help establish and follow industry standard best practices • Develop and implement improvements to our IaC codebase (Terraform) • Develop and maintain CaC standards (Packer, Chef) • Monitor metrics (Datadog) and propose ways to improve application observability and visibility • Create and maintain documentation for build and deployment processes • Participate in sprint planning, implementation, standups and demos • Create PoC and prototype solutions for varied technical initiatives

• Design and implement comprehensive monitoring strategies rather than owning observability platforms outright. • Collaborate with DevOps and Engineering on shared observability platforms (Grafana, Prometheus/Loki, Azure Monitor/Application Insights). • Define golden signals dashboards, measure SLOs/SLIs/error budgets, and help implement actionable alerting. • Drive structured logging standards, distributed tracing patterns, and OpenTelemetry implementation standards for teams to deploy and SRE to validate. • Conduct monitoring/auditing of production systems to ensure instrumentation completeness. • Take ownership of production incident response, lead incident handling, and drive remediation. • Conduct blameless post-incident reviews and ensure follow-through on action items. • Continuously improve operational processes, reliability practices, and team readiness. • Monitor system resource utilization and forecast future needs. • Tune autoscaling configurations in partnership with Engineering teams. • Evaluate capacity efficiency and support cost optimization strategies. • Validate DR environments and test failover processes—not build them. • Ensure DR capabilities are functioning as-designed with clear documentation. • Define and lead regular DR drills in partnership with Engineering/Platform teams. • Work with the Non-Functional Testing team on resilience and DR scenario simulations. • Support chaos experiment planning and validation as a nice-to-have capability.