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 (nice-to-have)
Compliance/security scan automation exposure (SBOM/STIG-like workflows) (nice-to-have)
Multi-runner parallel execution/sharding strategy experience (nice-to-have)
Experience capturing test telemetry for trend analysis (Postgres/SQLite) (nice-to-have)
Experience building reusable reporting and observability layers (nice-to-have)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonpytestLinuxbashDockerPodmanKubernetesKINDHelmPostgres

Soft Skills

debuggingtroubleshootingcollaborationdocumentationreporting