Sr SDET / Sr QA Automation Engineer (Python, CLI, CI/CD, Containers)

RapidFort is the leader in end-to-end software supply chain security, and they are seeking a hands-on Sr. QA Automation Engineer to own and evolve the Python-based test automation framework for their CLI-driven security platform. The role involves designing and maintaining end-to-end test suites for validating container image hardening, vulnerability scanning, and compliance workflows.

Responsibilities:

• Build and maintain robust automation suites using Python and pytest
• Convert manual/bash test plans into scalable, data-driven test frameworks (CSV/JSON/YAML)
• Design selective execution strategy (tags, ranges, run flags, grouping/sharding)
• Automate CLI command validation (exit codes, stdout/stderr expectations, failure semantics)
• Integrate and maintain test execution in CI/CD pipelines (GitHub Actions or equivalent)
• Validate container image hardening, scan outputs, and SBOM/RBOM generation across base distributions (Ubuntu, RHEL, Debian, Alpine)
• Manage and improve test artifacts/reporting (.html, .log, .json) for fast triage
• Troubleshoot environment/auth/configuration drift across runners and VMs
• Maintain high-quality handover docs, runbooks, and troubleshooting guides
• Partner with dev/platform teams to stabilize flaky tests and shorten feedback loops

Requirements:

• 10+ years in SDET or QA Automation roles
• 5+ years of Python automation experience (pytest required)
• Strong Linux and shell scripting (bash) skills
• Hands-on experience testing CLI tools or developer workflows
• Experience with Docker and/or Podman
• Experience integrating and debugging test runs in CI pipelines
• Strong debugging skills for authentication, environment, and infra-related failures
• Solid Git workflow and code review practices
• Kubernetes/KIND/Helm testing experience
• Compliance/security scan automation exposure (SBOM/STIG-like workflows)
• Multi-runner parallel execution/sharding strategy experience
• Experience capturing test telemetry for trend analysis (Postgres/SQLite)
• Experience building reusable reporting and observability layers