Role: “Software Infrastructure Engineer – Repository / CI/CD and Docker Engineer”
Location: Remote / Dallas, TX
Position: Fulltime
Job Description:
Position 1: “Software Infrastructure Engineer – Repository”
Exp. Required: 8+ Year’s
Must Have Technical/Functional Skills
• Extensive experience in software configuration management, DevOps, or platform engineering.
• Hands-on Git administration and enterprise repository governance.
• Experience with artifact/package/container registries and secure software-supply-chain controls.
Good to Have
GitHub Enterprise, GitLab, Azure Repos, Bitbucket, Git LFS, DVC, Artifactory, Nexus, SBOM,
signing, or provenance controls.
Roles & Responsibilities
Establish and operate secure source-control and artifact-management practices for data, AI,
simulation, infrastructure, and test assets.
• Design repository structure, branching, pull-request, review, merge, tagging, release, and archival
practices.
• Configure identity, team permissions, protected branches, code ownership, secrets controls, and
auditability.
• Define approaches for large files, datasets, model artifacts, containers, packages, and reusable
components.
•
Integrate repositories with CI/CD, code quality, security scanning, issue tracking, and release
management.
• Create migration, backup, recovery, retention, and developer-onboarding guidance.
Managerial Skills
Own repository governance and create developer-onboarding guidance for engineering teams.
Position 2: “CI/CD and Docker Engineer”
Exp. Required: 10+ Year’s
Must Have Technical/Functional Skills
• 10+ years in DevOps/platform engineering with strong CI/CD and Docker delivery.
• Hands-on pipeline-as-code, container build, registry, security-scanning, and release automation.
• Experience supporting Python/data/ML workloads, not only web applications.
Good to Have
Kubernetes, GitHub Actions/Azure DevOps/Jenkins/GitLab, Terraform, Helm, MLflow, GPU
containers, or cloud-native deployment.
Roles & Responsibilities
Build secure, repeatable delivery pipelines and containerized runtime environments for data
pipelines, AI automation, model workflows, and supporting services.
• Design CI/CD pipelines for code, data-pipeline components, ML workflows, containers,
configuration, and infrastructure.
• Create hardened Docker images, dependency controls, artifact/version management, vulnerability
scanning, and promotion workflows.
• Automate unit, integration, data-quality, security, and deployment checks.
•
Implement environment configuration, secrets handling, rollback, release evidence, and
observability.
Generic Managerial Skills, If any
Partner with repository, testing, security, platform, and engineering teams to standardize deliver.
