Python DevOps Engineer

• Design and implement scalable Python components, refactor them strategically. Ensure reliable error handling and propagation across scripting environments.
• Safeguard Code Quality, builds test strategy; enforces coverage gates              
• Automate Python packaging and build artifact generation using PyPI and Conda standards. Ensure security, traceability, and compliance with distributed Python packages.
• Builds robust PowerShell scripts, including unittests (using Pester).
• Collaborate with Development and CI/CD teams to automate artifact publishing and enforce compliance standards.
• Maintain documentation and support troubleshooting of packaging and dependency workflows.
• On Cyber Security, perform security code reviews, threat awareness. Implements automated scanning (SCA, CVE monitoring); manages SBOM. Integrate secrets into CI/CD securely       .
• Effectively contributes to planning and execution by delivering well-defined, traceable assignments, aligned with team objectives.
      

Required Skills

• Strong Python and PowerShell scripting expertise.
• Experience with Anaconda/Miniconda and conda package management.
• Experience in building automation and configuration file generation.
• Experience with Python packaging standards (pyproject.toml, conda-build, meta.yaml).
• Experience with CI/CD for python integration (preferably Jenkins) and artifact publishing workflows.
• Experience in Containerization using Docker.
• Experience implementing observability (monitoring, logging, alerting) to support reliability and operational excellence.
• Understanding SBOM concepts, software licensing, and vulnerability management.
• Strong troubleshooting skills and attention to detail.
• Drives DevSecOps outcomes through security-focused code reviews and threat awareness, automated scanning (SCA/CVE monitoring) with SBOM generation/management.
• Ensures secure CI/CD by integrating secrets safely, enforcing signed artifacts and hardened pipelines, and hardening base images to minimize attack surface.

Desirable Skills

• Experience in scientific, engineering, or highly regulated industries.
• Apply strong Python code quality practices for automation scripts, including linting (Pylint/Flake8) and static typing (mypy).
• Familiarity with Windows process management and scripting environments.
• Experience supporting enterprise software distribution.
• Exposure to Agentic AI concepts, including practical usage of GitHub Copilot (GHCP) or similar AI-assisted development tools to enhance automation, scripting, and developer productivity.
  • Experience working in an agile environment like SAFe, using Jira.