QA Lead – Digital Solutions Full Time

The Software Test Lead will conceptualize and create test plans and architecture for Digital solution in Siemens Energy EAD.

We will take ownership for the quality assurance (QA) testing of the digital solutions. Our team will develop comprehensive test plans, conduct manual testing of product functionality, and automate test cases as needed. Additionally, we will perform regression and performance testing to ensure all software updates meet the required standards. Working closely with the R&D and Product Marketing teams, we will test new features and ensure they align with customer needs. We will also provide timely regression reports to all relevant collaborators, including R&D and Marketing, keeping them informed of testing progress and results.

Key Responsibilities:

• Define and evolve overall test strategy, architecture, and roadmap for complex software systems across web and desktop.
• Develop scalable and maintainable test automation frameworks and tools across multiple platforms (Majorly on Web, Desktop).
• Select appropriate tools and technologies for UI, API, performance, and security testing.
• Research, evaluate emerging technologies and trends in testing, and recommend new tools and technologies to improve test effectiveness and efficiency.
• Establish and enforce testing standards, best practices, and governance for automation, data management, and reporting.
• Identify and implement tools for CI/CD pipeline integration with testing.
• Identify and manage technical Debt.
• Provide architectural guidance for embedding security testing practices into the lifecycle.
• Analyze and troubleshoot non-automatable scenarios, proposing design or architecture improvements.
• Collaborate with performance engineers to define robust performance and scalability testing strategies.
• Ensure continuous testing and fast feedback loops through automated quality gates.
• Implement automated test reporting and dashboards for real-time visibility into test results and reports.
• Lead proof-of-concept (POC) for new automation approaches.
• Drive quality metrics and KPIs and ensure quality gates are met across projects.

Technical Leadership and Guidance

• Collaborate with product managers, developers, and DevOps to integrate quality across the SDLC.
• Mentor and guide Test engineers and Software Developers to strengthen automation and test engineering skills.
• Conduct code reviews for automation frameworks and test scripts to ensure quality and consistency.
• Act as a subject matter expert, resolving complex issues related to testing, debugging, and system integration.
• Lead technical reviews of test automation code and architect
• Implement strategies for early defect detection and prevention.
• Influence the culture of quality within the engineering organization.
• Clearly communicate testing progress, challenges, and outcomes to stakeholders.
• Work closely with development, DevOps, product, and architecture teams to align testing with overall delivery goals.
• Advocate for quality engineering and promote automation excellence across teams.

Desired Skills:

• Prior experience in testing and delivery of applications for Automation and Enterprise digital systems is considered an asset.
• Prior experience in Oil & Gas, Safety systems domain and process industry background is advantageous for this role.
• Minimum 12 years of professional experience in test and quality assurance.
• Familiarity with Agile and DevOps methodologies.
• Experience with performance testing.
• Strong analytical, problem-solving, and debugging abilities.
• Excellent communication and leadership skills.
• A proactive and adaptable mindset with ownership of automation architecture and quality outcomes.
• Testing Tools/framework: NUnit, Playwright, Selenium
• API Testing: HTTP-REST API,
• Version Control: Azure Git (Strong experience)
• Operating Systems: Windows and Linux
• Experience in Docker & Kubernetes

Good to Have:

• Exposure to other cloud platforms like Azure and open-source cloud components.
• Hands-on experience with Docker, Kubernetes, Terraform, and Python.
• Experience in Industrial Automation and enterprise solutions

Preferred Skills & Attributes:

• Strong understanding of modern software architectures and DevOps principles.
• Ability to analyze complex problems and develop effective solutions.
• Excellent communication and teamwork skills, with experience in cross-functional collaboration.
• Self-motivated and capable of working independently on complex projects.