Fullstack developer (Kotlin+React)

Essential functions

• End-to-End Application Ownership: Design, build, and deliver a production-grade operational administration interface, enabling operators to manage complex lifecycle data components.

• Access Control & Security: Implement frontend Role-Based Access Control (RBAC) with complex user rights management, ensuring tailored role-based rendering and access control per user type (admin, operator, read-only).

• Backend Integration & Feature Development: Write, modify, and extend clean backend code in Kotlin and Java to build robust data validation pipelines and integrate with core data services.

• Cloud Infrastructure & Deployment: Provision, deploy, and manage containerized applications within Google Cloud Platform (GCP) utilizing Kubernetes (GKE), Cloud Run, and Terraform.

• Observability & Scripting: Develop, integrate, and maintain Python monitoring and alerting scripts to create robust dashboards, manage technical metrics, and support test tooling frameworks.

• Quality Assurance & Testing: Implement rigorous unit and integration testing workflows with exceptionally high code coverage to meet strict, formal quality sign-off standards.

• Codebase Navigation & Autonomy: Rapidly onboard into a large, complex legacy platform, independently resolving technical blockers and owning your deliverables with minimal supervision.

Qualifications

• Experience: 3 to 5 years of professional software engineering experience, including a minimum of 2 years building complex frontend applications in production (business tools, internal platforms, or financial applications preferred).

• Frontend Expertise: Solid Mid-to-Senior level proficiency in React and TypeScript, with a proven track record of handling complex state management (Redux or Context API) and implementing frontend RBAC.

• JVM Backend Skills: Practical experience (at least 1 year) with Kotlin or another JVM language, alongside the ability to read, debug, and modify existing Java codebases.

• GCP Production Experience: 1 to 2 years of hands-on experience with Google Cloud Platform, specifically utilizing GKE (Kubernetes), Cloud Run, and infrastructure provisioning via Terraform.

• Data & Workflow Automation: Strong SQL skills with the ability to query complex data models, coupled with practical experience orchestrating workflows via Apache Airflow.

• Crucial Non-Technical Skills: Extreme technical autonomy, rapid onboarding skills into unfamiliar codebases, and fluent written English for async communication and peer reviews.

• Process Alignment: Comfort working within a highly regulated corporate framework where every deliverable undergoes strict pull request workflows and formal peer sign-off.

Would be a plus

• Domain Knowledge: A strong background in financial services, fintech, investment banking, or handling complex reference data layers.

• Advanced JVM Ecosystem: Deep understanding of modern Spring or Ktor architectural patterns.

• Data Storage Frameworks: Understanding of Google Cloud Bigtable architectures and how massive data layers are stored and read.

• Low-Level Code Awareness: Ability to read and understand existing C++ code within a legacy system context.

• Advanced Streaming: Familiarity with real-time data streaming architectures using tools like Apache Kafka or distributed risk batches.

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.