Senior Quality Development Engineer

Join InterSystems as a Senior Quality Development Systems Engineer, and contribute to developing high quality, robust software by building the validation systems that certify customer-scale behavior and release readiness across HealthShare products. Unlike traditional QA roles, this position focuses on system-level validation, large-scale environments, and automation frameworks that simulate real-world deployments.

You will work closely with HealthShare scrum teams to understand system behaviors, identify validation needs, and influence design for testability and scalability, ensuring that new features and platform changes behave correctly under realistic customer conditions.

Your strong technical capabilities, curiosity to learn new systems, and ability to operate across infrastructure and application layers are essential to InterSystems’ innovation process.

Duties and Responsibilities

• Design, implement, and execute system-level validation for HealthShare products, including integration, upgrade, performance, and resiliency testing
• Own and operate customer scale validation environments, including multi-node topology setup and large dataset orchestration
• Build and maintain automation frameworks and validation tooling to support repeatable and reliable testing at scale
• Develop and enhance validation systems and orchestration platforms to coordinate, execute, and track system-level validation workflows
• Design and execute performance and scalability tests, including workload modeling, throughput and latency analysis, and system bottleneck identification
• Develop and maintain performance testing tools, scripts, and datasets to simulate real-world customer workloads
• Execute and support release validation cycles, ensuring readiness of promoted builds
• Review product source code to inform test design, focusing on edge cases, failure scenarios, and performance bottlenecks
• Identify, document, and track defects, working closely with developers for resolution
• Partner with HealthShare scrum teams to gather validation requirements and translate them into scalable test strategies
• Collaborate with DevOps, Platform Engineering, and Operations teams to align infrastructure and validation workflows
• Provide technical guidance and mentorship to QD Systems Engineers

Requirements

• 5+ years of experience in software quality engineering, SDET, or systems engineering
• Experience testing distributed systems at scale, including performance and scalability evaluation
• Technical proficiency in multiple programming languages (Python, ObjectScript, Java, or similar)
• Experience with containerized environments (Kubernetes), Linux systems, and CI/CD pipelines (Jenkins)
• Ability to read code critically and identify weaknesses and performance issues
• Strong analytical, debugging, and problem-solving skills
• Effective communication skills and ability to collaborate across teams
• Proven ability to effectively leverage AI coding agents (e.g., Claude Code, Codex) for tasks such as code generation, refactoring, debugging, and test creation while maintaining high-quality standards.
• Comfort working in an AI-augmented development environment, including evaluating outputs from coding agents and ensuring correctness, security, and maintainability.

Desirable

• Experience with virtualization or private cloud platforms (cloud, VMware, Nutanix)
• Experience with infrastructure-as-code tools (Ansible, Terraform)
• Experience with monitoring and observability tools (Prometheus, Grafana)
• Experience with large-scale data processing, data pipeline design, or data engineering concepts related to high-volume test data
• Familiarity with healthcare interoperability standards (FHIR, HL7, X12)
• Familiarity with UI technologies (Angular, TypeScript) and UI automation frameworks (Selenium, Playwright, Cypress)
• Experience testing high availability, failover, and recovery scenarios

Education and Training

• BS/MS or higher in Computer Science, STEM, or Engineering

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.

Other compensation may include a discretionary annual variable target incentive.

The company also provides generous employee benefits including:

• Medical, vision, and dental insurance
• Short-term and long-term disability, and life insurance
• 401(k) Profit Sharing Contribution
• Paid Time Off and Holidays
• Parental Leave
• Tuition reimbursement

The estimated base compensation range for this role is:

$92,000—$136,000 USD

About InterSystems

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

AI Disclaimer

InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information).  InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.

Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience.  AI tools and third-party transcription services must not be used during interviews or assessments.