CD, Containers)

RapidFort, Inc.

2h•Remote

About The Position

RapidFort is the leader in end-to-end software supply chain security. Our platform helps organizations automatically identify, prioritize, and remediate vulnerabilities in containerized applications—without code changes or pipeline disruption. From curated near-zero-CVE container images to runtime Kubernetes protection, we enable teams to ship secure software faster. Backed by $42M in Series A funding and trusted by 100+ customers across defense, federal, and enterprise sectors, we’re defining the new standard for software attack surface management (SASM). We were recognized in the 2025 Gartner® Cool Vendors™ in Container Management report. We’re looking for a hands-on Sr. QA Automation Engineer to own and evolve the Python-based test automation framework for our CLI-driven security platform. You’ll design and maintain end-to-end test suites that validate container image hardening, vulnerability scanning, SBOM generation, and compliance workflows across local, CI, and Kubernetes environments. This role demands strong ownership of test reliability, data-driven execution strategy, and clear documentation—paired with a genuine interest in security tooling.

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

Nice To Haves

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

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