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Siemens Digital Industries Software • Mandaluyong, Metro Manila, Philippines
Role & seniority: Quality Assurance Engineer (3+ years experience); mid-senior level in Siemens DI SW Quality Center of Excellence
Stack/tools: SAS-based testing with Python, R, SQL; C++ wrappers for SAS tests; C++, Java; IDEs (Visual Studio, VS Code); Jira; Git/GitLab; Confluence/Gerrit; CI/CD (Jenkins); build tools (GMAKE, CMAKE); test management (X-Ray, TestRail)
Perform exploratory manual testing; design embedded automated test cases; validate and regression-test product functionality
Build, execute, and analyze test suites; clearly communicate results; report defects with reproduction steps
Drive automated testing adoption integrated into CI/CD; collaborate across QA, development, product management, and operations; understand customer use cases to shape QA
Bachelor’s in Software Engineering or related field; 3+ years QA experience
Proficient in manual and automated functional testing; SDLC/STLC knowledge
Coding/scripting in C++, Java, SQL; experience with IDEs; defect lifecycle tools (e.g., Jira)
Strong analytical, problem-solving, and cross-functional collaboration skills; shift-left mindset
Experience with Git/GitLab, Confluence, Gerrit; Jenkins; build tools (GMAKE/CMAKE)
Test management tools (X-Ray, TestRail)
Exposure to data science techniques
Location & work type: Not specified in the provided text; role appears within Siemens DI SW Quality Center of Excell
We are Siemens
Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our software.
In our RapidMiner platform, Altair SLC runs programs written in the language of SAS without the need for translation or any third-party products or licenses. Its support for Python, R, and SQL — and the ability to combine program modules built in any of these languages — makes it the perfect way to facilitate major migration projects as well as maintain libraries of SAS language programs at reduced cost. The QA team are matrixed across development teams where they work closely in a shift-left environment alongside Product Owners, Developers and Development Operations to keep new code moving through the software development lifecycle efficiently, and with a keen eye for quality.
Our QA team is also constantly exposed to the latest and greatest in modern technologies in the data analytics and data science industry.
The successful applicant for this position will play an important role testing SLC in a multi-OS environment – initially via exploratory manual testing before converting test scenarios to automated tests which are run as a part of our build system. In addition, you will work with other QA Engineers across Siemens DI SW Simulation as part of our Quality Center of Excellence including Security Testing, Performance Testing, Automation, and more.
As a Quality Center of Excellence team member, you will work closely with product management, software development, and applications engineering teams. You must be driven by a desire to be efficient, collaborative, thoughtful, and productive in a fast-paced environment of prolific engineers.
Working closely with Developers to perform exploratory testing and to design embedded automated test cases that validate and regression-test product functionality. Creating and reviewing detailed, comprehensive, and well-structured test cases to ensure high product quality. Building and executing test suites, analyzing results, and clearly communicating outcomes to relevant stakeholders. Reporting defects with clear reproduction steps and contributing to the identification of potential root causes. Writing SAS-based scripted test cases with C++ wrappers to verify the functionality of the SLC Data Analytics product. Collaborating effectively within the QA team and across cross-functional teams to resolve issues efficiently. Driving the implementation and adoption of automated testing, fully integrated into CI/CD pipelines. Gaining a deep understanding of customer use cases and software behavior to develop QA approaches that build confidence in the product. Estimating, prioritizing, planning, and coordinating testing activities throughout the development lifecycle.
A Bachelor’s degree in Software Engineering or a related technical field. At least 3 years of experience in software quality assurance testing. A solid understanding of fundamental software testing techniques and the SDLC/STLC. Hands-on experience with both manual and automated functional testing. Knowledge of coding and scripting languages such as C++, Java, and SQL, and the use of relevant IDEs for test script development. Experience working with IDEs such as Visual Studio, VS Code, or similar tools. Familiarity with defect and bug lifecycle management tools, such as Jira. Strong analytical and problem-solving skills. The ability to work closely with product development teams in a shift-left, fast-paced development environment. The capability to understand and interpret functional use-case requirements and translate them into effective test cases. Strong communication skills and the ability to collaborate effectively with cross-functional teams and stakeholders. A proactive, quick-learning mindset with a high level of self-motivation and strong team spirit.
Proficiency with version control systems such as Git or GitLab, along with a solid understanding of code branching, will enable you to collaborate effectively within development teams. Experience with collaborative development tools like Confluence or Gerrit will support smooth knowledge sharing and alignment across teams. Familiarity with CI/CD tools such as Jenkins, as well as build tools including GMAKE or CMAKE, will help you contribute to efficient and automated delivery pipelines. Experience using test management tools such as X-Ray or TestRail will allow you to manage and track testing activities effectively. Exposure to data science techniques is considered an advantage, although it is not essential for success in this role.
Join our Digital World
A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us Transform the every day!
We value equal opportunities and welcome applications from people with disabilities.
Siemens is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
If you believe in technology with purpose and are interested in learning more about Siemens Digital Industries Software before you apply then check out our Mission / Vision and our software portfolio, meet the team and join our Talent Community today so that we can stay connected in the areas that interest you: www.siemens.com/careers/transformtheeveryday/
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