Senior Quality & Test Automation Engineer - Performance Testing

About ELLKAY :

ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments.

ELLKAY's solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies.

Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today's data-rich world.

ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy.

Job Description :

The Senior Quality and Test Automation Engineer leads quality strategy and automation for complex features, services, and end-to-end workflows. The role remains hands-on while shaping testability, framework design, nonfunctional coverage, release risk, and engineering practices across one or more delivery teams.

Essential Duties & Responsibilities :

- Define risk-based quality strategies, automation scope, entry and exit criteria, test data, environments, dependencies, and evidence for complex initiatives.

- Design and implement robust automation across API, contract, integration, event, data, UI, and end-to-end layers, selecting the most effective test level for each risk.

- Lead automation architecture within the product area by creating reusable libraries, patterns, utilities, and diagnostics that teams can maintain at scale.

- Influence system and feature design for testability, observability, failure isolation, deterministic behavior, secure data handling, and operational resilience.

- Integrate quality gates and parallelized automated suites into CI/CD; manage flaky tests, execution efficiency, environment constraints, and actionable reporting.

- Plan and guide performance, reliability, resilience, security, accessibility, compatibility, and recovery validation in partnership with specialized teams.

- Analyze logs, traces, metrics, database state, service interactions, and code to isolate complex failures and lead root-cause investigations.

- Assess production change risk and present evidence-based release recommendations, known limitations, and mitigation or rollback plans.

- Establish meaningful measures for escaped defects, risk coverage, automation value, flakiness, defect containment, and feedback-cycle time.

- Lead requirement and design reviews, identify cross-system and edge-case risks, and ensure quality work is planned early rather than deferred to the end of delivery.

- Mentor Quality Engineers and SDETs through pairing, design and code reviews, debugging guidance, and consistent engineering standards.

- Collaborate across product, development, architecture, DevOps, support, security, data, and business teams to resolve systemic quality issues and improve delivery practices.

Qualifications:

- Bachelor's degree in computer science, engineering, information systems, or equivalent practical experience.

- Typically 7+ years in software quality engineering or development, with advanced hands-on automation and technical leadership experience.

- Strong programming and framework-design skills in Java, Python, TypeScript, C#, or a comparable language; advanced experience with APIs, SQL, Git, CI/CD, and distributed applications.

- Proven ability to lead quality strategy for complex integrations and end-to-end workflows, including nonfunctional and production-readiness considerations.

- Expertise in debugging across application, service, data, infrastructure, and pipeline layers and in converting findings into sustainable engineering improvements.

- Strong influence, mentoring, stakeholder communication, prioritization, and risk-management skills.

Preferred Qualifications :

- Experience with cloud-native platforms, containers, service virtualization, observability, performance engineering, and security-focused automation.

- Experience delivering software in healthcare or another regulated environment with strict privacy, auditability, and data-integrity requirements.

Skills

Automation Testing, Software Quality Assurance, Testing, Java, Python, API Testing, SQL, Performance Testing