Senior Developer

• Develop high-scale microservices and APIs using Java 17+, Spring Boot, and REST/gRPC; apply solid engineering fundamentals (OOP, concurrency, performance).
• Build Python services (e.g., FastAPI) that host agent logic and AI integrations; implement robust error handling, retries, and structured outputs.
• Create and orchestrate agents using Google ADK: define agents, attach tools/functions, manage sessions and memory, and implement multi-step workflows (sequential/parallel/routed).
• Implement MCP-based integrations: expose internal tools/resources as MCP servers (where applicable) and consume MCP tools from agents/clients securely.
• Deliver LLM features (tool/function calling, prompt & context engineering, evaluation) and implement RAG patterns with embeddings and vector databases when grounding is required.
• Containerize and deploy services using Docker and Kubernetes (AKS/OCP preferred); build CI/CD pipelines (GitHub Actions/Jenkins/Harness) with quality gates.
• Implement observability (logs/metrics/tracing), SLOs/SLIs, and performance testing; participate in incident response and root cause remediation.
• Mentor engineers, perform design/code reviews, and collaborate with product, security, data, and platform teams in an Agile/Scrum environment.

Integrate agents with enterprise systems and data sources via Model Context Protocol (MCP) and standard APIs, with strong attention to security, observability, reliability, and cost controls., * Strong Java backend engineering (Java 17+, Spring Boot, microservices, REST/gRPC).

• Strong Python engineering (OOP, typing, async patterns, packaging) and service development.
• Hands-on experience building agents and workflows with Google ADK (agents, tools, sessions/memory).
• Comfort working with LLMs: tool/function calling, structured outputs, prompt & context engineering, safety considerations.
• Understanding of MCP concepts (resources, tools, prompts; client-server model) and ability to integrate tools using MCP or standard APIs.
• Ability to produce high-quality code with AI-assisted code generation, plus strong review/verification and testing discipline.
• Security fundamentals: OAuth2/OIDC, JWT, secure coding, secrets management; familiarity with mTLS/cert management is a plus.
• Cloud-native fundamentals: Docker, Kubernetes; CI/CD pipelines; basic monitoring/observability.

Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications

Opportunity to work with cutting-edge technologies

Employee engagement initiatives such as project parties, flexible work hours, and 'Long Service awards Annual health check-ups as well as insurance

Group term life insurance Personal accident insurance

Mediclaim hospitalization insurance for self, spouse, two children, and parents

Why Persistent is an employer of choice

Technology Innovation: culture of innovation using cutting-edge technology to bring value to clients.

Growth and Career Progression: learning opportunities for growth, including quarterly promotion

cycles.

We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create unique competitive advantage for our clients by giving them the power to see beyond and rise above. We are experiencing tremendous growth, with $566 million in revenue in FY21, representing 12.9% year-over-year growth. Along with that growth, we onboarded over 3,000 new employees in the past year,bringing our total employee count to over 15,000 people located in 18 countries across the globe. At Persistent, our values are more than a list of ideals to improve our corporate image. We're dedicated to building an inclusive culture that reflects what's important to our employees and is based on what they value. As a result, 95% of our employees approve of the CEO and 83% recommend working at Persistent to a friend. About Position: Design and build secure, scalable backend services in Java (Spring Boot) and Python, and deliver production-grade AI agent capabilities using Google Agent Development Kit (ADK). Build agentic workflows that can use tools, maintain session context/memory, and generate/refactor code with strong human-in-the-loop review and governance.