Lead Java Engineer

Grid Dynamics; Bengaluru; Vor Ort; INR 3.500.000 - 6.500.000; Vollzeit

Benefits dieser Stelle

Bleeding-edge projects

Motivated team

Competitive salary

Flexible schedule

Medical insurance

Corporate events

Professional growth

Well-equipped office

Zusammenfassung

Grid Dynamics is seeking a Senior Backend / GenAI Engineer for a hands-on, lead role that combines code mastery with technical direction, mentoring, and delivery leadership across engineering squads or workstreams.

The role blends ~80% hands-on engineering with ~20% technical leadership, designing, building, and shipping secure, scalable backend services while helping the team adopt GenAI, AI-agent, and AI-assisted software development practices.

Qualifikationen

• Translate product epics and business requirements into actionable technical tasks, implementation plans, and delivery milestones.

Aufgaben

• Own end-to-end delivery from design through production rollout.

Kenntnisse

Java

Spring Boot

Microservices

REST APIs

OpenAPI/Swagger

AWS

GCP

Azure

Docker

Kubernetes

OAuth2/OIDC

JWT

DevOps

CI/CD

GitHub Actions

Security

LLM integration

RAG

Distributed systems

LangChain / AI tools

Tools

OpenAI APIs

LangGraph

LangChain

Semantic Kernel

Cline

Aider

Cursor

Claude Code

Jobbeschreibung

We are seeking a Senior Backend / GenAI Engineer for a contractor, hands‑on individual contributor lead role. This position is ideal for an experienced engineer who remains deeply hands‑on in code while also providing technical direction, mentoring, and delivery leadership for engineering squads or workstreams.

The role is approximately 80% hands‑on engineering and 20% technical leadership. The successful candidate will design, build, and ship secure, scalable backend services while helping the team adopt modern GenAI, AI-agent, and AI-assisted software development practices. This engineer will work across backend platforms, cloud-native systems, distributed services, and production-grade AI integrations, including LLM-powered applications, RAG, Agentic RAG, AI agents, multi-agent systems, workflow orchestration, and AI-assisted development tooling.

Essential functions

• 812 years of total software engineering experience
• 35 years leading engineering squads, streams, or complex technical initiatives while remaining hands‑on in code
• Core Technology Stack
• Languages Frameworks: Java, Spring Boot
• Backend Architecture: Microservices, REST APIs, API-first design, OpenAPI/Swagger
• Databases: MySQL, PostgreSQL, MongoDB, Cassandra
• Cloud Containers: AWS, GCP, Azure, Docker, Kubernetes
• Security: OAuth2, OIDC, JWT, RBAC, secure coding, secrets management
• DevOps: Git, CI/CD, DevSecOps, GitHub Actions, Jenkins, Terraform, CloudFormation
• Observability Reliability: Logging, metrics, tracing, SLOs, runbooks, performance tuningGenAI LLM Platforms: Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI APIs, Anthropic APIs
• AI Architectures: RAG, Agentic RAG, AI agents, multi-agent systems, tool calling, workflow orchestration
• Vector Databases Retrieval: OpenSearch, pgvector, Pinecone, Redis
• AI Frameworks Agent Platforms: LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, OpenAI Agents SDK, MCP, A2A
• AI-Assisted Development Tools: GitHub Copilot, Cline, Aider, Cursor, Claude Code, and similar tools
• The engineer will:
• Own end-to-end delivery from design through production rollout
• Build reliable Java/Spring Boot microservices and APIs
• Integrate LLM-powered capabilities into enterprise systems
• Mentor engineers informally through design guidance, reviews, and pairing
• Improve engineering velocity through CI/CD, automation, DevSecOps, and AI-assisted development
• Establish best practices for secure, observable, and responsible AI-enabled software delivery

Qualifications

• Translate product epics and business requirements into actionable technical tasks, implementation plans, and delivery milestones.
• Own end-to-end design, development, testing, deployment, and production support for backend and AI-enabled services.
• Write high-quality, maintainable, testable, and secure code.
• Conduct effective code reviews and raise engineering standards across the team.
• Produce concise technical documentation, design notes, API specifications, and operational runbooks.
• Identify and resolve complex defects, performance bottlenecks, integration issues, and production incidents.
• Unblock engineers through hands‑on support, pairing, debugging, and technical decision-making.

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