Grid Dynamics is looking for an experienced SDET / QA Automation Engineer to join a project focused on testing backend services, distributed systems, and AI/ML solutions.
The ideal candidate has strong programming skills in Java or Python, hands-on experience with test automation frameworks, backend API testing, and CI/CD processes. Experience with Big Data technologies (Apache Spark), data pipelines, or ML systems would be a strong plus.
Essential functions
- Design, implement and maintain automation tests, testing & development frameworks and tooling to support various backend services and machine learning models and pipelines
- Analyze, recommend, and implement best practices for coding guidelines and design principles, process workflow, quality gates, CI/CD process, etc.
- Partner with cross functional teams to define and drive quality assurance best practices, techniques and methodologies needed to enhance productivity and quality
- Identify process and architecture inefficiencies and help drive improvements while reducing risk, fostering a culture of built-in quality and continuous testing throughout the SDLC
- Guide tool analysis, create proof of concept models, and make recommendations to support the tools selection process.
Qualifications
- SDET Experience
- Proficiency in Java, Python or similar programming languages
- Experience in designing and implementing testing frameworks for distributed systems, service-layer testing, including backend APIs, data processing, and infrastructure components
- Passion for quality engineering and delivering creative approaches for testing machine learning algorithms and large scale distributed data systems
- Impeccable communication skills and ability to effectively collaborate with multiple stakeholders across organizations and project timelines
- Highly organized, creative, self-motivated, and passionate about achieving results. Excited about the possibilities unlocked by AI and ML technologies
- Adept at leveraging technology to solve problems, including building tooling, automating tasks, and developing supporting systems to streamline development workflows
- English level B2 or higher
- Ability to provide partial overlap with Pacific Time until 8:00-9:00 PM CET
Would be a plus
- Knowledge of Big Data systems, Apache Spark
- Experience with testing or working with AI/ML systems or platforms that include ML model training or data pipelines and algorithms
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI,
and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical
challenges and enable positive business outcomes for enterprise companies undergoing business transformation.
A key differentiator for Grid Dynamics is our 8 years of experience and leadership in
enterprise AI, supported by profound expertise and ongoing investment in
data,
analytics,
cloud & DevOps,
application modernization
and
customer experience.
Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.