Publicis Sapient - Solution Architect - Java Microservices Development

Job Title : Java Architect - Job Description Java Lead / Engineering Manager

Experience : 1015 Years

Location : Sapient Office Locations (4 Days at Office) - Hybrid

Employment Type : Full-Time

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. Integration with Azure AD / Microsoft Entra ID

iii. SSO implementation and identity federation

iv. 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.