Full Stack Engineer (Secunderabad)

Full Stack Engineer (Secunderabad)

05 Aug
|
Accenture
|
Secunderabad

05 Aug

Accenture

Secunderabad

Project Role : Full Stack Engineer

Project 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

Positive 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.

Skilled & 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

📌 Full Stack Engineer (Secunderabad)
🏢 Accenture
📍 Secunderabad

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