C2 SMART Appian QA Lead

i4DM•Millersville, MD

14h

About The Position

Are you ready to ensure mission‑critical systems work reliably when the U.S. Army depends on them most? As an Appian QA Lead, you’ll define and lead the testing strategy for complex, AI‑enabled and real‑time data solutions supporting Army operational environments. You’ll embed quality throughout the Agile development lifecycle—combining hands‑on testing, automation, and mentorship—while validating Appian workflows, AI components, mobile applications, and Kafka‑driven integrations. Working closely with engineers and Army stakeholders, you’ll ensure solutions meet stringent operational, performance, and security requirements, delivering trusted capabilities that function as intended in demanding, real‑world conditions.

Requirements

At least five (5) years of experience in QA roles with a strong focus on creating and executing testing strategies for complex software projects.
Experience in AI solutions testing, including data-driven and machine learning models, ensuring that the functionality and quality of AI components are thoroughly validated.
Proven expertise in mobile application testing, specifically Android, including cross-platform testing for mobile apps.
Extensive experience with real-time data streaming: Proven ability to test data flow between various systems (e.g., Appian, Kafka, databases, etc.), ensuring that data flows smoothly and correctly across platforms.
Hands-on experience validation solutions which incorporate Appian and Kafka or similar enterprise platforms is highly preferred.
Strong knowledge of Agile testing methodologies, including experience working in Agile teams and using Agile tools.
Prior military experience or experience working with military clients (especially the U.S. Army) is strongly preferred.
Excellent communication skills, with the ability to collaborate with developers, business analysts, and stakeholders to ensure the quality of the delivered product.
Strong problem-solving skills with the ability to identify testing bottlenecks and propose solutions.
Experience with test management tools (e.g., JIRA, TestRail, etc.) and defect tracking tools.
Ability to work in a highly regulated and structured environment, such as military or government contracting.
Active Secret clearance or ability to obtain one.

Nice To Haves

Any experience preparing data for AI testing is a huge plus
An experience preparing test scripts for AI testing is a huge plus
Experience testing AI workflows involving non-deterministic models is strongly recommended

Responsibilities

Testing Strategy Development: Design and implement a comprehensive testing strategy that ensures full coverage of functional, performance, and security requirements across the project. This includes unit, integration, system, regression, and user acceptance testing.
Hands-on Testing: Perform manual and automated testing as needed to ensure the quality and functionality of AI-driven solutions, mobile applications, and integrated systems.
Data Integration Testing: Develop and execute data integration testing plans for complex systems, ensuring accurate data flows between integrated platforms (e.g., Appian, Kafka).
Test Automation: Collaborate with the team to implement and maintain automated test scripts for repetitive tasks, ensuring efficient test execution and consistent results.
Mentorship and Leadership: Mentor and guide other testers on the team, providing training on best practices and ensuring the overall quality of testing efforts.
Defect Management: Lead the identification, tracking, and resolution of defects. Work with developers and stakeholders to ensure that defects are prioritized and addressed promptly.
Documentation and Reporting: Create and maintain clear and comprehensive test documentation, including test plans, test cases, defect reports, and test results. Provide regular testing status reports to project leadership and stakeholders.
Customer Engagement: Engage with the Army’s representatives to ensure that testing aligns with their unique needs and operational environments, ensuring that the delivered solution meets their requirements.
Risk Management: Identify testing risks early in the project lifecycle and recommend mitigation strategies to avoid delays and ensure project delivery on time.
Continuous Improvement: Continuously assess testing processes and tools, recommending improvements to enhance test coverage, efficiency, and quality outcomes.
Interpret software test results and recommend solutions for unsatisfactory test results
Train end users on Appian enhancements and features following release cycles.