Director, Performance Engineering and Test Automation

Your Role

The Stellarus Technology team builds and operates the platform, services, and products that support payer operations, member experiences, customer integrations, and internal product delivery. The Director, Performance Engineering and Test Automation will report to the VP, Engineering. In this role, you will create the automated performance and reliability validation systems that give engineering teams clear evidence before services reach production.

You will own the strategy and implementation for performance testing, load testing, scalability validation, resilience testing, synthetic monitoring, test data automation, and release gates across the Stellarus platform. You will work directly with developers to define the standards, patterns, tooling, and expectations teams use when they design, build, test, and operate services, including where AI and AI-assisted engineering tools can improve quality, speed, and signal.

This is a new role for a builder who can define the practice, implement the tooling, partner with engineering teams, and create a culture where performance and reliability are validated continuously. The role combines performance engineering, platform quality, automation, observability, and production readiness.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow personally, professionally, and financially. We are looking for leaders energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

• Bachelor's degree or High School Diploma/GED and 4 years of additional relevant experience in lieu of a degree.
• 10 years of software engineering, quality engineering, performance engineering, platform engineering, SRE, or related technical experience.
• 6 years leading teams or technical programs focused on performance, test automation, reliability, platform quality, or production readiness.
• Strong hands-on background building automated test systems, load testing frameworks, performance pipelines, or reliability validation tooling.
• Experience testing distributed systems, microservices, APIs, event-driven architectures, and cloud-native applications.
• Practical understanding of latency, throughput, concurrency, queueing, back pressure, retries, caching, database performance, resource saturation, and failure modes in production systems.
• Experience with tools such as k6, Gatling, JMeter, Locust, Playwright, Cypress, Jest, Grafana, Prometheus, Open Telemetry, Datadog, New Relic, Azure Monitor, or similar platforms.
• Experience integrating automated tests into CI/CD pipelines and making test results useful to engineering teams.
• Experience evaluating or applying AI-assisted engineering tools for test generation, analysis, automation, or developer productivity is preferred.
• Strong understanding of Kubernetes, containers, cloud infrastructure, API gateways, message queues, relational databases, and service observability.
• Ability to work with engineers at code, architecture, infrastructure, and operational levels.
• Experience defining performance benchmarks, synthetic workloads, test data strategies, production-like environments, and release readiness criteria.
• Strong communication skills. You can explain performance risk clearly and turn findings into practical engineering action.
• Healthcare, payer, regulated-industry, SOC 2, HIPAA, or security-sensitive platform experience is preferred.

Stellarus is building primarily with:

• Type Script, Node.js, NestJS, React, Next.js
• PostgreSQL, Azure Blob Storage, Snowflake
• Azure Kubernetes Service, Azure API Management, Azure Service Bus
• Dapr for service invocation and pub/sub
• Terraform, ArgoCD, Git Hub Actions, Docker
• Auth0, OAuth2, OpenID Connect, API key support for integrations
• Nx monorepo, API contract-first development, automated testing

For this role, we especially value experience with:

• Automated performance and load testing for APIs and distributed workflows
• Synthetic monitoring and production-like traffic modeling
• Observability-driven debugging and regression detection
• AI-assisted test generation, failure analysis, and engineering workflow automation
• CI/CD quality gates and release readiness automation
• Database and message-queue performance analysis
• Kubernetes workload tuning and capacity planning
• End-to-end test automation for user-facing and service-level workflows

We value strong engineering judgment, a bias toward automation, and the ability to build systems that help product teams move faster with clear performance and reliability signals.

This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.

Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on…