The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
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.
- Integrate automation into CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins.
- Integrate test results with quality dashboards and release gates (e.g., SonarQube, Power BI).
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.
- Collaborate with architecture and DevOps teams to identify bottlenecks and scalability issues, analyze system behavior under load.
- Establish performance baselines, SLAs, and drive continuous performance improvements across ARTs.
- Emphasizes “shift-right observability” and continuous validation across production environments.
·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).
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