System Test Engineer

Industrial Platform System Test is looking for a technically strong, and a passionate hands-on person, with strong development, automation, and performance test exposure of microservices and Cloud apps, for our Industrial Cloud platform aka. CONNECT Industrial Intelligence as service; to design business critical industrial digital twin use cases, design and build apps, validate and maintain a completely automated platform having platform services for Aveva apps and partner apps that conforms the standards needed for automated deployment on environments.

Key responsibilities

Collaborate and work with platform, data and apps development teams, and portfolio to design and perform tests on platform; design and automates integration tests, end to end with critical digital twin business use cases, performance tests and perform regression testing when needed.

Enhances platforms automation framework, develop and maintain shared automation libraries, tools and tests are easily extendable by peers and platform integration teams.

Enhances performance test frameworks developed in K6, test scenarios, testing methods for throughput, scaling and performance tests, and validation of data quality.

Conducts performance testing to ensure that the platform can handle the expected load and perform optimally under stress.

Develop, and integrate microservices apps for validating industrial platform features.

Recommends technical strategies to contribute to the overall effectiveness and quality of testing in cloud, and to meet business needs.

Tracks and communicates task progress, status, and key performance metrics. Provide performance test reports to stake holders in business unit.

Communicate effectively across multiple teams, stake holders and customers.

Keep abreast of developments in automation and performance testing in cloud, practices, and technology. Independently learn, gain expertise, and implement for new capabilities.

Continually develop and improve validation processes, adding value through optimization, automation, and effective use of Azure DevOps

Qualifications:

Bachelor/masters in computer science or a related technical field with 7+ years of relevant industry experience

Have worked on SaaS, IaaS, or PaaS multi-tenant software systems deployed on the cloud.

Experienced in performance and load testing of microservices using K6.

Experienced in test automation using MS Test, XUnit, PactFlow, Spec Flow, Playwright, and Postman.

Experienced in developing performance test and automation test frameworks.

Strong development experience in one or more languages: Primarily C#, .NET, Typescript/ JavaScript, and Python.

Have exposure and explored development on core infrastructure concepts including Microservices, azure functions, apps, kubernetes, and containers.

Experienced with development quality practices, to include debugging and refactoring.

Experience with Continuous Integration and Continuous Deployment (CI/CD) tools such as Git, Maven, Gradle, Docker, Kubernetes, Jenkins, Azure DevOps

Good exposure in building pipelines using YAML.

Strong hands-on ability on technologies like Redis, Kafka and NoSQL databases

Excellent analytical skills, open, proactive, results oriented, self-organized and self-motivated.

Proven experience of leading and coaching others

Knowledge of data ware housing concept, knowledge graph, graph QL etc. is a plus.

Working knowledge on industry automation best practices, its use cases and real time data

Performed integration with OSiSoft PI systems and AVEVA Datahub is a plus

Experience with DevOps and infrastructure management tools will be a plus.