Top Remote Senior Level QA & Test Engineering Jobs in CO

Leads QA strategy and testing for Adobe Experience Manager projects, including functional, automation, API, accessibility, UI/UX, integration, regression, and release testing. Manages test planning, case reviews, defect lifecycle, quality metrics, and release sign-offs while mentoring QA engineers. Validates AEM Sites, Assets, Forms, workflows, Dispatcher, integrations, and responsive experiences. Integrates automated testing into CI/CD pipelines and collaborates with developers, designers, architects, and stakeholders to improve product quality and compliance.

Leads end-to-end quality assurance for Workday implementations, upgrades, and enhancements. Defines testing strategies, plans, frameworks, and risk mitigation; oversees functional, integration, regression, and UAT testing across Workday modules. Manages defects, test data, environments, release validation, reporting, and stakeholder sign-off. Coordinates QA activities among business teams, developers, system integrators, vendors, and delivery partners while ensuring adherence to quality standards and governance.

Designs and maintains automated test frameworks and exploratory suites for products, APIs, SDKs, AI models, and data platforms. Develops functional, integration, end-to-end, regression, API, browser, load, and reliability tests; creates datasets, evaluation pipelines, dashboards, and CI/CD release gates. Partners across Engineering, Research, Product, Data, and Infrastructure to validate model behavior, data quality, performance, and production readiness. Documents reproducible defects, supports triage, and communicates risks.

As a Software Development Engineer in Test, you'll create and conduct automated tests, resolve technical issues, and collaborate with development teams to ensure software quality.

Serve as the end-to-end Test Director for integrating, verifying, and flight testing Hivemind autonomy on small UAS. Own test readiness and execution, plan and run fly-fix-fly campaigns, set test strategy and success criteria, lead cross-functional teams, manage risk and safety-of-flight, define test infrastructure (SIL/HIL/simulation), approve procedures, document results, and report to leadership and customers.

Lead quality assurance and test strategy across Agile teams, drive automation for testing, mentor QA teams, and ensure high-quality software delivery.

Designs and executes manual software testing for NAVSUP OIS Next Gen applications, including functional, regression, integration, system, accessibility, and user acceptance testing. Creates test plans and cases, validates databases with SQL, documents defects in GitLab, verifies fixes, communicates release readiness, and collaborates with Agile development and product teams. Supports production validation and continuous QA process improvements.

Conduct software quality assurance and testing for DISA-supported applications. Responsibilities include interpreting requirements, creating quality control and user acceptance test plans, designing and executing functional, integration, regression, performance, accessibility, and cybersecurity tests, developing automated test scripts, evaluating testing tools, analyzing results, reporting progress, and advising on complex software and hardware application testing.

Lead PIC production test capacity, infrastructure, and ramp activities while managing test engineers and technicians. Responsibilities include hiring, onboarding, mentoring, resource prioritization, cross-functional collaboration with wafer fabs and operations, and development of production test hardware, software, and procedures. The role also oversees testability requirements, new product introduction testing, efficiency improvements, and engineering changes for photonic integrated circuit products.

Designs and maintains automated test frameworks for web applications, APIs, and AI-driven features. Develops model validation, bias detection, drift monitoring, test datasets, and CI/CD quality gates. Executes functional, regression, performance, and AI-specific testing while partnering with AI/ML, data science, and product teams. The role also promotes responsible AI practices, mentors junior engineers, and supports a government CMS platform.