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 n…