Role Overview:

We are looking for an experienced and hands-on Java Lead / Engineering Manager to lead the design, development, and delivery of scalable enterprise applications and cloud-native platforms. The ideal candidate should possess strong expertise in modern Java technologies, microservices architecture, cloud platforms, and AI-enabled solution development.

The role demands strong technical leadership, solution architecture capabilities, stakeholder management, and mentoring experience while actively contributing to engineering excellence and innovation initiatives.

Key Responsibilities:

- Lead the architecture, design, and development of enterprise-grade applications using Java and Spring ecosystem technologies.

- Design and implement scalable microservices and reactive systems.

- Develop secure APIs and authentication/authorization frameworks using Spring Security.

- Build high-performance RESTful APIs and define API contracts and governance standards.

- Drive cloud-native application development and deployment on AWS.

- Create and review High-Level Design (HLD) and Low-Level Design (LLD) documents.

- Collaborate with product owners, architects, DevOps, and business stakeholders for successful solution delivery.

- Lead technical solutioning, estimation, and implementation planning.

- Ensure scalability, observability, resilience, and performance optimization across applications.

- Mentor development teams on coding standards, architecture patterns, and engineering best practices.

- Drive adoption of AI/GenAI technologies and agentic AI solutions where applicable.

Required Technical Skills:

Core Java & Backend Technologies:

- Strong experience in Java 21

- Expertise in Spring Boot

- Strong hands-on experience with:

i. Microservices architecture

ii. RESTful services

iii. Reactive programming using Spring WebFlux

iv. Event-driven and asynchronous systems

Security & Authorization:

- Strong experience with:

i. Spring Security

ii. Authentication & Authorization mechanisms

iii. OAuth2 / JWT-based security implementations

- Experience in:

i. Role-based access management (RBAC)

ii. SSO implementation and identity federation

iii. Enterprise identity and access management solutions

Persistence & Databases:

- Strong experience in:

i. Spring Data JPA

ii. Database design and optimization

iii. Data modelling concepts

- Hands-on experience with:

i. MongoDB

ii. Azure PostgreSQL

- Exposure to:

i. Query optimization

ii. Performance tuning

iii. Schema and entity design

API & Integration:

- Strong understanding of:

i. REST/API contract design

ii. API versioning

iii. OpenAPI/Swagger standards

- Hands-on experience with API Gateway platforms such as:

i. Kong API Gateway

ii. AWS API Gateway

- Experience in:

i. API security, Rate limiting

ii. API routing and throttling

iii. API monitoring and governance

Caching & Performance:

- Hands-on experience with:

i. Redis caching

- Strong exposure to NFRs including:

i. Query performance optimization

ii. API performance tuning

iii. Scalability and resiliency

iv. High availability and fault tolerance

Cloud & DevOps:

- Strong hands-on experience with AWS services:

i. S3

ii. Lambda

iii. CloudFront

iv. EKS

- Experience with:

i. Docker

ii. Kubernetes

iii. CI/CD pipelines

iv. Container orchestration

v. Cloud-native architecture patterns

Solution Architecture & Design:

- Experience in:

i. Technical solutioning and architecture discussions

ii. High-Level Design (HLD)

iii. Low-Level Design (LLD)

iv. Solution Design Document (SDD) creation

v. Architecture review and governance

AI / GenAI Skills (Preferred):

- Understanding of:

i. LLMs (Large Language Models)

ii. Agentic AI concepts

iii. MCP (Model Context Protocol)

- Hands-on exposure to:

i. LangChain

ii. LangGraph

iii. LangSmith

iv. Vector Databases

v. Amazon Bedrock

vi. AI agent frameworks / Amazon AgentCore

- Experience in building AI agents and AI-powered enterprise solutions is highly preferred.

Observability & Monitoring:

- Experience with:

i. Logging frameworks

ii. Observability practices

iii. Splunk dashboards and alerts

iv. Monitoring and production support readiness

Good to Have:

- Python programming experience

- Experience with distributed caching and messaging systems

- Knowledge of secure coding practices and DevSecOps

Leadership Expectations:

- Lead and mentor engineering teams

- Conduct code reviews and architecture reviews

- Drive engineering excellence and innovation

- Collaborate with cross-functional teams and stakeholders

- Manage technical risks and delivery commitments

Qualifications:

- Bachelors or Masters degree in Computer Science, Engineering, or related field

- Proven experience leading enterprise-scale engineering initiatives

- Strong communication and stakeholder management skills

Preferred Candidate Profile:

- Strong problem-solving and analytical skills

- Ability to work in fast-paced agile environments

- Passion for emerging technologies, cloud, and AI innovations

- Strong ownership mindset and delivery focus