Role Description Modus21 is a Charleston, South Carolina based business and technology consulting firm specializing in solving complex business problems for global business and government clients. Our philosophy is simple – provide value to our clients through the ability to streamline, measure, and improve their business processes via business intelligence and business architecture. U.S. Transportation Command (USTRANSCOM) is the single manager for global patient movement for the Department of War (DoW), responsible for synchronizing transportation and medical evacuation to provide life-saving care to warfighters across the spectrum of military operations. TRAC2ES is a critical system for the DoW supporting global patient movement operations by integrating medical regulating, patient evacuation, and command and control decision support, ensuring efficient and secure patient movement across peace, war, and contingency scenarios. USTRANSCOM seeks innovative solutions to enhance, sustain, and modernize TRAC2ES, addressing challenges in: - Scalability - Performance - Cybersecurity - Interoperability - Operational efficiency The solution must also include options for transitioning TRAC2ES functionality to a secure, user-friendly mobile application to improve accessibility and operational efficiency in diverse operational environments. Responsibilities - Troubleshooting, triaging, or resolving automation issues using Ansible or PowerShell - Develop tools and processes to drive DevSecOps maturity by automating builds, regression testing, monitoring, and pushing releases across environments - Write code using languages like Python, Java, or C#, and configure controls like PLCs (Programmable Logic Controllers) and HMIs - Develop simulations and QA tests to ensure systems perform safely, efficiently, and without bugs before deployment - Analyze current production workflows or business logic to identify new opportunities for automation Qualifications - HS Diploma or GED - Knowledge of automation tools including Ansible, version control systems including Git, operating systems including RHEL and Windows, and virtualization including VMware - Knowledge of Agile development - Experience with designing and implementing robust, scalable, and efficient CI/CD pipelines - Experience with Infrastructure as Code (IaC) and Configuration as Code (CaC) - Experience with application containerization - Experience with modeling network configuration in JSON and YAML - Experience with network automation in Python and Ansible - Knowledge of networking principles and concepts - Knowledge of API design and object-oriented principles - CompTIA Security+ Certification or higher DoD 8570 cybersecurity certification - Familiarity with software delivery methodologies such as agile/scrum - Strong problem-solving and design skills - Strong written and oral communication skills - Strong interpersonal skills and customer service skills - Ability to effectively prioritize and execute tasks in a high-pressure environment - Ability to work in a self-guided manner; excellent organizational skills - Must be a US citizen and hold or be able to obtain a Department of Defense (DoD) SECRET Security Clearance Requirements - Contingent upon award

Role Description Buscamos un(a) QA con 3 a 5 años de experiencia, enfocado(a) en liderar estrategias de aseguramiento de calidad, pruebas manuales y automatizadas, pruebas de performance y gestión de métricas de calidad a nivel transversal. Este rol será clave para garantizar la calidad del software durante todo el ciclo de vida de desarrollo, liderar equipos y fortalecer prácticas de testing alineadas con marcos ágiles. - Dirigir y ejecutar pruebas manuales y automáticas para aplicaciones frontend, móviles, APIs y servicios backend. - Diseñar estrategias y planes de prueba basados en historias de usuario y criterios de aceptación en formato BDD. - Definir y ejecutar pruebas funcionales y no funcionales, incluyendo performance. - Gestionar defectos, riesgos de calidad y documentación de cierre de pruebas. - Liderar la automatización de pruebas y proponer mejoras continuas en cobertura, calidad de código y eficiencia. - Diseñar e implementar métricas de calidad como bugs, cobertura de pruebas, calidad de código y OKRs. - Participar activamente en prácticas ágiles y en la definición de criterios de aceptación. - Monitorear y ejecutar estrategias de performance y análisis de resultados. - Trabajar con repositorios de código, pipelines CI/CD y herramientas de gestión de pruebas. Qualifications - Conocimiento sólido en procesos y tipos de pruebas, idealmente con base en ISTQB FL / AT. - Experiencia en diseño de casos de prueba funcionales y no funcionales. - Conocimiento medio en CI/CD, despliegue continuo y manejo de pipelines. - Conocimiento avanzado en pruebas de performance y herramientas asociadas. - Experiencia con herramientas como Jira (X-Ray), Confluence, Azure DevOps, Git. - Manejo de bases de datos SQL, Oracle, DB2 y Postgres. - Experiencia con frameworks y herramientas como Serenity BDD, ScreenPlay, Gherkin, Cucumber, Karate, K6, JMeter, Appium, Gradle, Maven, Robot Framework y Rational Performance Tester. - Capacidad para gestionar riesgos de calidad, automatización, métricas y analítica de datos aplicada a QA. Competencies - Liderazgo de equipos. - Comunicación asertiva. - Negociación efectiva. - Aprendizaje y adaptación rápida. - Orientación a resultados. - Autodesarrollo. - Transferencia de conocimiento. - Innovación y mejora continua.

Role Description The QA Automation Engineer is responsible for leading and accelerating automated testing initiatives for an innovative platform within the veterinary sector. The platform integrates and standardizes clinical data from multiple management systems, enabling advanced capabilities such as automated medical condition prediction using Machine Learning and LLM technologies, as well as automated insurance claim processing. This role focuses on designing, implementing, and scaling automation frameworks that validate backend APIs, frontend workflows, and end-to-end business processes. As part of an AI-first engineering team, the QA Automation Engineer will leverage modern testing practices and AI-assisted development tools to shorten feedback cycles, improve test coverage, and ensure high-quality software delivery. Success in this role means enabling faster development cycles through reliable automation, proactive quality practices, and efficient AI-enhanced testing workflows. Qualifications - Proven experience as a QA Automation Engineer with strong experience testing backend APIs and web applications. - Hands-on experience designing and maintaining automated test suites using Playwright. - Strong knowledge of automation frameworks and testing best practices. - Experience with programming or scripting languages such as JavaScript, TypeScript, or Python. - Experience testing RESTful APIs and validating backend services. - Understanding of relational databases, particularly PostgreSQL, for data validation and troubleshooting. - Experience integrating automated tests into CI/CD pipelines. - Experience using AI-assisted development tools and LLM-based workflows for testing automation. - Strong analytical and problem-solving skills with attention to detail. - Ability to work independently, identify quality risks, and implement solutions proactively. - Ability to thrive in fast-paced environments with tight delivery timelines. - Advanced English level with strong communication skills for remote collaboration. Requirements - Experience testing AI-powered applications or Machine Learning workflows. - Familiarity with API automation frameworks and testing tools beyond Playwright. - Experience with test automation architecture design and framework development. - Knowledge of cloud environments, DevOps practices, and observability tools. - Experience working with complex data platforms or healthcare-related systems. - Familiarity with AI agents, LLM evaluation, or AI-assisted QA practices. - Strong interest in AI-first engineering methodologies and productivity optimization. Benefits - Competitive compensation and benefits package. - Opportunities for growth and professional development. - Comprehensive leave policies, including PTO, sick leave, and study leave. - Access to employee discount programs. - Monthly connectivity allowance.

• Allocate dedicated capacity to agent builds — contributing directly to the development of AI agents that support our security programs, including certifications, risk, and compliance. • Build and maintain infrastructure to support agent workflows, including retrieval, context delivery, and agent-to-agent coordination patterns. • Partner with team members to translate business needs into data-driven, agent-ready solutions that reduce manual effort and improve decision velocity. • Architect and implement MCP pattern integrations that enable security agents to interact with data systems, tools, and APIs in a structured, scalable way. • Own the design, deployment, and maintenance of ETL and agentic data pipelines to ingest, transform, and serve data from multiple sources into our data lakehouse and downstream agent consumers. • Ensure data security, privacy, and governance are implemented across all pipelines and agent-accessible data surfaces. • Continuously monitor, optimize, and resolve issues with data infrastructure, pipelines, and agents for efficiency, accuracy, speed, and scalability in support of real-time agent workloads. • Mentor other engineers on data engineering, MCP patterns, and agent-native design principles.