Staff Systems Test Engineer

Position Summary:

We are seeking a highly motivated and detail-oriented Staff Systems Test Engineer to join our engineering team. In this role, you will be responsible for validating end-to-end product functionality, system integrations, and solution quality across software and hardware environments. You will leverage test automation, AI-assisted testing tools, and data-driven analysis techniques to improve product reliability, testing efficiency, and customer outcomes.
The ideal candidate is customer-centric, accountable, agile, collaborative, and innovative, with a passion for quality engineering and a strong foundation in software testing, automation, and systems validation within a technology organization serving the Utilities & Energy sector.

Duties & Responsibilities:

• Understand end-to-end system and product functionality, architecture, workflows, and integrations.

• Develop comprehensive test plans, test strategies, and detailed test cases to validate system behavior and business requirements.

• Execute manual and automated testing across functional, integration, regression, and system-level test scenarios.

• Design, develop, and maintain automated test scripts using modern automation frameworks and scripting languages.

• Utilize AI-based testing tools to support test case generation, defect prediction, intelligent analysis, and test optimization.

• Apply basic machine learning-driven insights to identify trends, patterns, anomalies, and potential issues within logs, system behavior, and test results.

• Analyze and document test outcomes with clear, actionable findings and recommendations.

• Identify, log, track, and communicate defects while collaborating with developers and cross-functional teams on troubleshooting and root cause analysis.

• Review, optimize, and maintain automated test suites, test procedures, and validation frameworks.

• Work with test management, automation, debugging, monitoring, and logging tools to improve overall testing effectiveness.

• Collaborate closely with development, product management, systems engineering, and customer-facing teams to ensure delivery of high-quality solutions.

• Participate in agile development activities including sprint planning, reviews, retrospectives, and continuous improvement initiatives.

• Support innovative approaches that improve validation efficiency, test coverage, quality metrics, and customer satisfaction.

'

Required Skills & Experience:

• Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or a related technical discipline.

• 2-5 years of experience in software testing, systems testing, quality engineering, automation, or a related field.

• Good knowledge of Web Applications, Computer Systems, Networks, and Databases.

• Programming skills in C# or another modern programming language.

• Strong understanding of Object-Oriented Programming (OOP/OOPS) principles and design concepts.

• Experience developing and maintaining test automation scripts and frameworks.

• Familiarity with software development lifecycle (SDLC) and software testing methodologies.

• Basic understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts.

• Ability to utilize AI-assisted development, testing, and productivity tools.

• Experience working with test management, debugging, logging, and defect-tracking tools.

• Knowledge of system integration testing, regression testing, and end-to-end validation practices.

Professional Skills:

• Strong analytical, troubleshooting, and problem-solving abilities.

• Excellent verbal and written communication skills.

• Demonstrated ownership, accountability, and attention to detail.

• Ability to collaborate effectively with diverse and cross-functional teams.

• Customer-focused mindset with a commitment to delivering high-quality and reliable products.

• Ability to adapt quickly in a fast-paced and agile development environment.

Preferred Skills & Experience:

• Experience with test automation frameworks and continuous integration/continuous deployment (CI/CD) environments.

• Exposure to cloud technologies, distributed systems, or enterprise software platforms.

• Familiarity with Utilities, Energy, Industrial IoT, or connected device ecosystems.

• Experience using AI-enabled testing, analytics, or quality engineering tools.

• Knowledge of performance testing, API testing, or security testing methodologies.

• Experience analyzing large volumes of test data and generating actionable quality insights.

• Demonstrated commitment to continuous learning, innovation, and process improvement.

• Experience collaborating with globally distributed engineering teams.