NOTE: This position requires active U.S. national security clearance and the ability to obtain one. To learn more about the security clearance process, please access this link. Additionally, travel may be required to customer and subcontractor sites as well as other office locations.

Hypergiant, an Accelint company, empowers forward-thinking organizations with AI-driven solutions to stay ahead. Our geographic presence spans the U.S. and allied partners, with facilities in key Defense Technology hubs from Southern California to Washington, D.C. We provide large enterprises – across industries like the Defense Department, energy, healthcare and aviation – with bespoke technology solutions, cutting-edge advice, and deployment expertise needed to harness the value out of Artificial Intelligence and Machine Learning. At our core, we are military experts, researchers and technologists who want to accelerate intelligence to deliver strategic insights that turn future challenges into today’s opportunities.

We are seeking a Technical Product Manager, Software Reliability & Automation who can implement and maintain the automated tools, environments, and workflows required to build a robust, scalable software quality assurance system across Hypergiant’s set of applications. You will work with the engineering department and product teams to define the strategy and have the primary responsibility to design, implement, and operationalize automation that raises quality, accelerates releases, and hardens reliability. You’ll partner with software developers, QA and test professionals, designers, cloud / DevOps engineers, and IT operations staff to enhance software reliability as part of an automated product lifecycle. You will establish a cross-product line software testing strategy, common CI/CD quality control checkpoints, metrics and tools to support observability, and software release / deployment controls. The ideal candidate comes from commercial industry product-led companies with significant QA automation, proven experience building frameworks from the ground-up, and the product sense to align QA and software reliability investments to customer impact.

Duties and Responsibilities:

• Own the QA vision: Collectively define and refine the reliability & QA automation strategy and roadmap with all stakeholders; translate product risks into a prioritized plan with measurable outcomes.
• Implement the QA solution: work with engineering leadership to select tools, design the test pyramid, and stand-up automation frameworks for orchestration of complex software components, associated datasets, and APIs.
• Integrate into CI/CD: working with cloud / DevOps staff, implement gated pipelines, test artifact retention, release candidate process / versioning, and release criteria (coverage, pass rate, performance thresholds, process exceptions).
• Non-functional quality: introduce automated performance / load / fault tolerance, accessibility, visual regression, and security / compliance checks into pipelines.
• Release safety: Working with the software principals across product development and delivery, implement automation to support enhanced software release and deployment (e.g., feature flags, automated smoke checks, and software version rollback solutions).
• Metrics & reporting: Work with engineering leadership to define and publish software quality metrics and performance indicators (e.g., DORA)
• Backlog leadership: maintain a groomed backlog of reliability improvements and automation work; make technical and resource tradeoffs that protect velocity without sacrificing stability.
• Team enablement: coach “shift-left” practices, create playbooks, host lunch-and-learns, and contribute reference tests/components to shared libraries for software developers to easily reuse.
• Hands-on delivery: author test and QA specifications, write sample tests/utilities, review PRs, and drive cross-functional execution to demonstrable outcomes.
• Operational excellence: run post-incident reviews, drive corrective actions into roadmap, and continuously reduce toil with tooling and automation.
• AI augmentation: evaluate and introduce agentic AI-driven test automation to accelerate test creation, self-healing, failure analysis, and predictive quality insights.

Required Qualifications:
• Bachelor’s degree in computer science, software engineering, or equivalent practical experience.
• 7+ years in product / QA automation / reliability roles within commercial industry; at least 3+ years owning automation frameworks end-to-end.
• Proven hands-on implementation of QA and test automation solutions: candidate should be able to provide relevant before / after metrics.
• Significant hands-on experience with implementing, configuring, and maintaining modern frontend / UI, backend, and full-stack testing tools: e.g., Playwright/Cypress, Jest/Vitest, visual regression, contract testing, performance testing.
• Significant experience with CI/CD environment configuration, test planning for an agile / iterative software development lifecycle, artifact management, documentation, monorepo / multi-repo strategies.
• Experience with JavaScript/TypeScript (frontend focus) and proficiency with at least one scripting language (e.g., Python) for tooling.
• Experience with cloud platforms (AWS preferred), Docker, Kubernetes, basic security testing concepts.
• Familiarity with applying agentic AI in test automation (e.g., test generation, metrics capture, user alerting, self-healing, intelligent triage).
• Excellent communicator who can gain consensus on a vision across all stakeholders while shipping artifacts, briefing executives on risk while unblocking engineers with tools and automation.
• Ability to operate in regulated / mission contexts (e.g., DOD network security compliance)

Preferred Qualifications:
• Experience with software component orchestration architectures and tools.
• Experience with microservice architecture, dependency mapping, and related test strategies.
• Experience with data / schema validation testing and troubleshooting.
• Experience with software / service catalog and developer experience tools (e.g., Backstage)
• Experience with React, SQL, geospatial information systems, modern APIs, OpenAPI / Swagger specifications, and mocking/service virtualization.
• Cloud certifications, test / QA certifications.
• Experience with caching / parallelism, matrix builds.
• Experience with building or operating military software systems.
• Experience with US DOD developmental or operational test and evaluation (DT&E, OT&E) processes and policies.
• Current / prior DOD security clearance.

Clearance Information: Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.

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