The Role :

We are seeking a strategic and technical hands-on Senior Principal Software Engineer to lead our Automation and Performance Engineering initiatives across the enterprise.

This role is critical in driving quality, scalability, and velocity across Agile Release Trains (ARTs) within a SAFe environment.

You will collaborate with cross-functional teams to embed automation and performance best practices into the software development lifecycle, ensuring our systems meet the highest standards of reliability and customer satisfaction.

Your Impact.

Test Automation :

- Architect and maintain scalable, modular automation frameworks using Python, Java, or TypeScript.

- Drive automation across web, API, and backend services using tools like Playwright, Cypress, Selenium, Appium.

- Lead adoption of AI-assisted testing, model-based testing, and shift-left strategies.

- Implement LLM-assisted test generation (e.g., using Copilot, TestGen) to accelerate automation coverage.

Performance Engineering:

- Define and evolve performance engineering strategy across distributed systems, microservices, and cloud-native applications.

- Design and implement performance test suites using tools like K6, Gatling, JMeter, Azure Load Testing, and integrate with CI/CD pipelines.

SAFe & Cross-Functional Leadership:

- Collaborate with Product Owners, RTEs, and System Architects to embed performance and automation into PI Planning and backlog refinement.

- Contribute to PI Planning by identifying automation and performance objectives, dependencies, and capacity needs.

- Mentor engineers across teams; foster a culture of Built-In Quality and engineering excellence.

- Lead root cause analysis and resolution of complex performance and reliability issues.

What You'll Need :

- BS/MS in Computer Science, Engineering, or related field.

- 12+ years of experience in software engineering with a focus on performance and automation.

- Proven leadership in designing and scaling automation frameworks and performance test strategies.

- Strong programming skills in Java, Python, C#, or JavaScript/TypeScript.

- Experience with observability tools (Grafana, Prometheus).

- Familiarity with Infrastructure as Code and DevOps practices.

- Excellent communication and stakeholder management skills.

- Experience with cloud platforms (Azure, AWS), containers (Docker), and orchestration (Kubernetes).

- Exposure to AI/ML-based test generation or predictive performance modeling.

- Knowledge of security testing and compliance automation.

- Experience working in SAFe environments (e.g., PI Planning, ARTs, Lean Portfolio Management).