Motorq is the leading vehicle infrastructure and analytics software company that tells you everything you need to know about your fleet’s vehicles by connecting to them directly, without the need for hardware. Through partnerships with 13 of the largest global auto manufacturers, Motorq has unlocked billions of data points and counting to develop industry-defining benchmarks for EV's and ICE vehicles.

Motorq’s solutions include Fuel EKG™, Driver Safety Scorecard, Electric Vehicle Battery Health, Home-Charging Reimbursement and more.

Responsibilities:

- Designing, developing, and maintaining high-quality tools and test frameworks.

- Understanding requirements and creating a robust test planning and strategy.

- Collaborating with cross-functional teams, including Developers, Product Managers, and DevOps, to ensure comprehensive test coverage.

- Defining best test practices throughout the various stages of the test pyramid.

- Owning and delivering releases with high quality, including building tools and utilities for automating the release and quality process.

- Building scalable and reliable frameworks for non-functional requirements.

- Implementing and maintaining continuous integration and continuous deployment (CI/CD) pipelines for automated testing.

- Conducting code reviews and providing feedback on the testability and quality of the codebase.

Qualifications:

- Bachelor's or Master's degree in Computer Science or a related technical discipline.

- 4+ years of experience as an SDET, specialising in developing automation tools and strategies.

- Proficiency in OOPs Languages, distributed systems, and object-oriented design, with a preference for Javascript, Typescript, Python, or GoLang.

- Strong experience with databases, networking, and CS fundamentals.

- Proficient in writing complex SQL queries.

- Deep understanding of engineering processes, including Agile methodologies.

- Experience with Non-functional testing, such as performance, scale, and security.

- Excellent problem-solving and debugging skills, with attention to detail.

- Experience working with state-of-the-art test automation frameworks.

- Experience in CI/CD integrations, pipeline automation, and building reporting infrastructure.

- Experienced in working with cloud platforms (e.g., AWS, Azure, GCP) and containerisation technologies (e.g., Docker, Kubernetes).

- Strong communication and collaboration skills.

- Strong sense of ownership and ability to set appropriate quality expectations.

Preferred Qualifications:

Familiarity with data analytics and big data technologies such as Kafka, Hadoop, and Spark.

Experience working on stateful streaming systems is considered advantageous.