We are hiring a Senior Software Engineer in Test (SDET) to help build the foundational frameworks, internal developer tools and validation pipelines powering our distributed backend services and machine learning platforms. In this role, you will architect robust test harnesses for distributed architectures, design automated quality gates for Big Data and AI/ML pipelines and eliminate developer workflow bottlenecks across the entire engineering lifecycle.
This is a contractor position.
Overlap until: 12 pm PST.
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
- 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
- Experience with testing or working with AI/ML systems or platforms that include ML model training or data pipelines and algorithms is a plus
Would be a plus
- Familiarity with database migration tasks and validating API responses
- UI testing skillset
- Knowledge of Big Data systems, Apache Spark
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Professional development opportunities
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.