Senior / Principal Java Engineer
We are looking for an experienced Senior / Principal Java Engineer to join our team in building and modernizing mission-critical enterprise services. This initiative combines robust distributed architecture with modern, AI-assisted development practices, requiring an engineer who thrives in dynamic environments and can seamlessly switch between complex architectural challenges and hands-on implementation.
Essential functions
Drive the creation and modernization of enterprise services for the financial sector using AI-assisted development workflows.
Take end-to-end ownership and responsibility for project deliverables with a strong drive to learn and integrate seamlessly into the team.
Mentor junior developers and offshore team members, including reviewing the quality of deliverables (design, code, and timelines).
Optimize API performance, ensuring resiliency and implementing caching frameworks alongside streaming/messaging platforms (Kafka and MQ).
Participate in production support rotations and ensure critical issues are addressed promptly.
Efficiently switch between different technical tasks, priorities, and project demands.
Qualifications
Extensive (10+ years) hands-on experience working with Java 8+, REST, SOAP, Microservices, Service-Oriented Architecture (SOA), and Event-Driven Architectures.
Extensive (10+ years) hands-on experience working with Spring, Spring Boot, Solution Architecture, Design Patterns, Integration Frameworks, SQL and NoSQL.
Strong exposure to AI coding tools (GitHub Copilot, Claude, Windsurf, etc.) with a solid understanding of optimizing token utilization.
Experience with near/distributed caches and strategies (e.g., Redis, Apache Ignite).
Experience with AWS cloud infrastructure
Deep understanding of software engineering practices, object-oriented analysis & design, design patterns, coding modularity, prototypes, and algorithms.
Excellent communication skills, analytical ability, strong judgment, and the ability to work effectively in a team environment.
Advanced English level (both written and spoken)
Would be a plus
Experience with AI, ML, and NLP concepts.
Experience with monitoring and observability tools like Datadog, Dynatrace, or Splunk.
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.Apply to the position
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.
