Expert Engineer, QA Automation

Do you want to shape the future of fintech and healthtech? Energized by challenges and inspired by bold goals? Ready to elevate your career alongside driven and talented colleagues? If that sounds like you, explore a career at Alegeus today. Opportunity Happens Here. 

Alegeus is the market leader in consumer‑directed healthcare (CDH) solutions, powering millions of consumer benefit accounts including FSAs, HSAs, HRAs, dependent care and wellness programs through a modern SaaS and payments platform.

We are investing aggressively in modernization, API‑first integration, real‑time data access and AI‑enabled automation to redefine how consumers save and spend on healthcare. With industry expectations shifting rapidly, Alegeus is at a pivotal inflection point; we are transforming our platform, elevating engineering rigor and building a next‑generation product and engineering team.

We are seeking an Expert Engineer – QA Automation to join the Architecture team and drive enterprise-wide quality engineering and automation practices across domain teams. This role focuses on leveraging industry-standard open-source tools to implement scalable testing strategies for microservices-based, event-driven, and cloud-native platforms, systems thinking, automation depth, and strong collaboration skills.

The candidate will work closely with architecture, platform engineering, and development teams to enable automation-first, shift-left testing, and performance validation for distributed systems.

• Automation Strategy for Microservices and distributed systems

• Define test strategy across services and layers
• Ensure scalability and reusability
• Align with architecture patterns

• Enable API, integration, and end-to-end testing using open-source tools

• Implement API automation
• Ensure integration coverage
• Support business workflows

• Event-driven and Async systems Testing

• Validate messaging workflows
• Handle eventual consistency
• Test retries/failures

• Performance and load testing strategies using Locust, JMeter, or k6

• Create realistic load models
• Simulate production traffic
• Automate execution

• Performance Analysis and Optimization

• Identify bottlenecks
• Provide insights
• Collaborate on tuning

• Integrate automated testing into CI/CD pipelines

• Pipeline integration
• Fast feedback
• Stable execution

• Leverage observability practices for system behavior analysis

• Use logs, metrics, traces
• Correlate issues
• Improve debugging

• Drive Shift-Left testing practices

• Early testing
• Integrate into dev lifecycle
• Reduce defects

• End-to-End Engineering mindset

• Understand system flow
• Ensure quality across layers
• Own outcomes

• Collaboration & accountability

• Work across teams
• Drive ownership
• Ensure accountability

• Continuous improvement

• Identify gaps
• Adopt new tools
• Refine processes

• 7–9 years of experience in QA Automation / Quality Engineering
• Strong programming experience in C#/.NET, Java, Selenium
• Strong expertise in API automation testing
• Experience testing microservices-based architectures
• Experience with event-driven systems / messaging platforms
• Strong understanding of data models and relational and NoSQL database design.
• Hands-on experience in performance testing using Jmeter(or similar tools like JMeter, k6, Locust)
• Experience with Kubernetes and containerized environments
• Experience integrating testing into CI/CD pipelines
• Familiarity with observability concepts
• Hands-on experience with Grafana dashboards
• Strong ability to context switch across multiple initiatives, domains, and priorities while maintaining quality and efficiency
• Strong communication skills and ability to collaborate across engineering, product and domains teams.
   

• Bachelor’s or master’s degree in computer science, engineering or a related field.
• Familiarity with Kubernetes and containerized environments 
• Experience with performance testing tools and observability platforms.
• Familiarity with event-driven architecture and Kafka Experience
• Experience using generative AI tools to enhance test automation and documentation.
• Python language and Locust tool
• AI-based testing/evaluation

A successful Expert QA engineer working in Foundational services will:

• Standardized and scalable automation practices adopted across foundational initiatives
• Improved system reliability and performance visibility
• Faster feedback cycles through CI/CD-integrated testing
• Effective use of open-source tools without reinventing frameworks
• Improve system reliability by validating integrations, performance and observability.
• Reduce escaped defects and strengthen domains team and customer trust.
• Contribute to a culture where quality is shared responsibility.

You will be part of a team tackling challenging modernization work at scale. Our consumer‑directed healthcare platform is critical to Alegeus’ mission of simplifying healthcare payments, and this role offers the opportunity to drive tangible impact. You will work with supportive colleagues, leverage cutting‑edge tools (including AI‑assisted development), and develop your skills in microservices, event‑driven architectures, test‑driven development and cloud engineering. If you are a product‑minded engineer who cares about business outcomes and takes pride in your craft, we’d love to hear from you.

BECAUSE WE CARE, WE OFFER: 

We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.

At Alegeus, being transparent about our compensation philosophy and approach is more than just a legal requirement. As our organization continues to grow and evolve, we have made a commitment to ensure that our compensation framework is equitable, data-driven, consistent, and unbiased, with allowable pay differences based on factors unique to each candidate (think: skills, experience, qualifications, etc.) in order to attract and retain a highly talented and committed workforce.

We are taking an “inside-out” approach to pay transparency by first educating our valued managers and internal workforce and then moving to publishing compensation ranges externally.  In the interim, if you are a California, Colorado, Connecticut, Maryland, Nevada, New Jersey, New York, Ohio or Washington resident and this role is physically available in your state or classified as remote, you may be eligible to receive additional information about the compensation and benefits for this role, which we will provide upon request. Please send an email identifying the title of the role you are interested in and the state you reside in to [email protected].

Alegeus may use AI technology during candidate interviews. The uses include recording, note-taking, and summarizing candidate interviews. The information generated by the AI technology will be used by Alegeus during the hiring process. If you wish to opt out of having AI technology transcribe your interview, please notify your recruiter in advance of the interview. Otherwise, by agreeing to an interview with us, you consent to the use of AI technology during your interview.