Full Stack Engineer
Accenture India Private Limited
Work from Office
Full Time
Min. 11 yearsJob Description
Full Stack Engineer
Project Role : Full Stack EngineerProject Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Java Full Stack Development
Good to have skills : Spring Boot, Microservices and Light Weight Architecture, AWS Architecture
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Java 17, Spring Boot, Microservices, Cloud Modernization, and AI/LLM integration are must-have skills for this requirement.
We are seeking a Manager – Engineering with strong hands-on expertise in Java microservices and AWS cloud platforms who can lead engineering teams delivering cloud-native and AI-enabled enterprise applications.
Roles & Responsibilities
Lead development of Java 17 microservices using Spring Boot.
Build event-driven solutions using Kafka and AWS messaging services.
Support cloud modernization initiatives, refactoring legacy applications into microservices.
Implement integrations with LLMs and AI-enabled services.
Manage engineering teams and ensure high-quality delivery.
Deploy and manage applications using AWS container and compute platforms.
Work closely with architects to implement scalable cloud-native architectures.
Implement CI/CD pipelines and DevOps best practices.
Professional & Technical Skills
Programming & Frameworks
Java 17
Spring Boot
Microservices and REST APIs
Reactive frameworks (WebFlux/Reactor)
Architecture
Microservices architecture
Event-driven systems
Cloud-native design patterns
AI & LLM Integration
Understanding of Generative AI and LLM integrations
Exposure to Amazon Bedrock or similar AI platforms
Familiarity with AI-enabled enterprise applications
Event Streaming
Kafka
AWS messaging services (MSK, SNS, SQS)
AWS Cloud & Services
Amazon ECS / EKS
AWS Lambda
Amazon API Gateway
Amazon DynamoDB
Amazon RDS
Amazon ElastiCache
DevOps
CI/CD (AWS CodePipeline / GitHub Actions / Jenkins)
Docker and Kubernetes
Additional Information
Experience: 11–14 years
Education: Bachelor s degree in Computer Science or related field
Preferred: AWS certifications
Job role
Job requirements
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