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