- Own architecture and solution design for complex, business-critical platforms.

- Design and build highly scalable, distributed, and resilient systems.

- Provide hands-on technical leadership across backend engineering and system architecture.

- Develop and optimize enterprise-grade applications using Java and Spring.

- Design and implement microservices and event-driven architectures.

- Drive performance engineering, scalability, resilience, and failure-handling strategies.

- Establish production readiness standards across reliability, monitoring, diagnostics, and operational processes.

- Design observability solutions and support production troubleshooting and root-cause analysis.

- Work across multiple technology stacks and system layers, including application, messaging, data, and platform layers.

- Evaluate and adopt appropriate technologies and architectural patterns for complex business requirements.

- Contribute to Generative AI, LLM, and RAG-based solutions.

- Work with cloud and containerized environments across heterogeneous technology deployments.

- Collaborate with engineering, product, platform, and business stakeholders to drive architecture decisions.

- Ensure systems meet requirements for security, availability, scalability, and operational readiness.

Technology Expertise :

- Java / Spring

- Microservices Architecture

- Event-Driven Architecture

- Distributed Systems

- Performance Engineering

- Scalability & Resilience Patterns

- Observability & Production Diagnostics

- Messaging & Data Platforms

- React / Angular

- Erlang

- Cloud & Containerized Environments

- Generative AI / LLMs / RAG

Required Candidate Profile :

- 10+ years of experience in software engineering.

- Significant experience designing and building distributed systems at scale.

- Proven experience owning architecture and design for complex, business-critical platforms.

- Strong hands-on expertise in Java, microservices, and event-driven architectures.

- Deep understanding of performance engineering, scalability, resilience, and failure-handling mechanisms.

- Strong experience with observability, production diagnostics, and operational readiness.

- Experience working across multiple technology stacks and system layers.

- Familiarity with cloud and containerized environments.

- Strong problem-solving, system-design, and technical leadership skills.

Preferred Candidate :

- Experience in payments or financial services, particularly real-time processing or regulated environments.

- Exposure to Generative AI, LLMs, and RAG solutions.

- Experience working across heterogeneous market or technology deployments.

- Strong background in enterprise-scale backend engineering and architecture.