“Software Infrastructure Engineer – Repository / CI/CD and Docker Engineer”

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.