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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Conda Python Engineer - **Company:** American CyberSystems - **Location:** Irving, TX, United States - **Experience:** Expert - **Salary:** $166,400.0 - $187,200.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Computing, Static Program Analysis, Cyber Security, Continuous Integration, DevOps, Programming Tools, Distributed Systems, Django Web Framework, Github, Python (Programming Language), OpenShift, Systems Development Life Cycle, SONAR (Symantec), Systems Integration, Web Applications, Web Application Frameworks, Google Cloud, Cloud Platform System, GitHub Copilot, Flask (Web Framework), Delivery Pipeline, Software Security, Fastapi, Kubernetes, Deployment Automation, Free and Open-Source Software, Checkmarx, Devsecops, Static Application Security Testing - **Published:** June 5, 2026 - **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1018795&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted ## About the Role * Prior experience with Open-Source Contributions to Conda-Forge Pixi Package Manager Developing GitHub Actions and CI/CD Automation. * Steers platform engineering excellence - establish CI/CD patterns IaC templates and golden-path repos. * Evangelizes DevSecOps GitOps EPLX and DORA metrics * Experience building web applications and APIs using industry-standard frameworks Django FastAPI * Experience designing and implementing CI/CD automation and DevOps practices including GitHub Actions * Experience with cloud-native platforms and container orchestration OpenShift/Kubernetes including deployment automation. * Experience building or operating deployment automation to OpenShift using Harness CD Desired Qualifications * Experience architecting web applications, distributed systems, and platform solutions using industry-standard Python frameworks (Django, FastAPI, Flask) * Experience designing APIs, frameworks, automation pipelines, and distributed systems with a focus on scalability, resilience, and security * Cloud platforms (GCP, Azure, AWS) or on-prem platforms such as Kubernetes or OpenShift, including platform architecture and capacity planning * Experience architecting CI/CD pipelines, DevOps platforms, and release engineering systems, including GitHub Actions and reusable workflow design * Hands-on experience integrating automated security scans into CI/CD pipelines-static code analysis (Sonar), SAST (Checkmarx), SCA (Black Duck), and secret scanning (GitHub Secret Scanning)-and defining enforceable policy gates for release readiness * Experience designing and operating deployment automation to OpenShift (OCP) using Harness CD (or equivalent), including promotion, approvals, and rollback strategies * Security architecture experience including DevSecOps, application security, threat modeling, and compliance automation * Enterprise architecture leadership defining architecture standards, governance frameworks, and engineering processes across multiple teams Experience utilizing coding assistants (GitHub Copilot) and AI-powered development tools, with ability to define organizational adoption strategies ## Description As a Lead Engineer, you will be: Day to Day Responsibilities * Define reference architectures and standards for CI/CD using GitHub Actions and reusable workflows, embed compliance controls into the software delivery lifecycle, and design deployment patterns that promote reliability and auditability. * Integrating existing application security and quality scanning technologies into the reference architecture, ensuring they are consistently applied as enforceable pipeline gates. * Enabling predictable, enterprise scale delivery by aligning release governance with OpenShift (OCP) deployments through Harness, while partnering closely with CDXO on the Path to Production - 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