Publicis Sapient - Technology Manager

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