Java Software Engineer

Job Description – Software Development Engineer II (Java | AWS | DSA)

Location: Hyderabad Experience: 4+ Years

About the Role We are seeking a highly skilled

Software Development Engineer II to join a fast-paced engineering team working on critical, time-sensitive projects. The ideal candidate will have strong expertise in

Java, Data Structures & Algorithms, AWS Cloud, and Distributed Systems , along with exposure to

AI-driven software development practices . This role offers an opportunity to work on innovative solutions, implement cloud-native architectures, and contribute to the integration of Generative AI capabilities within the software development lifecycle.

Key Responsibilities

• Design, develop, test, and maintain scalable software applications using Java.
• Develop monitoring solutions and automate operational support processes.
• Troubleshoot, debug, and resolve issues in internally developed applications.
• Design and implement distributed systems using AWS serverless technologies.
• Build, deploy, and maintain GenAI-enabled solutions within the Software Development Lifecycle (SDLC).
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Improve application reliability, scalability, and performance.
• Create and maintain technical documentation and support procedures.
• Participate in code reviews and contribute to engineering best practices.

Required Skills

• 4+ years of software development experience.
• Strong programming expertise in

Java .

• Excellent knowledge of

Data Structures and Algorithms (DSA) .

• Hands-on experience with

AWS Cloud services.

• Experience designing and building

distributed systems .

• Strong debugging, troubleshooting, and problem-solving skills.
• Understanding of software development lifecycle and engineering best practices.
• Excellent communication and collaboration skills.
• Ability to work independently in a fast-paced environment.

Preferred Skills

• Experience with

Generative AI (GenAI) technologies and AI-assisted development tools.

• Exposure to cloud-native and serverless architectures.
• Familiarity with frontend technologies such as React.
• Experience with CI/CD pipelines and automation tools.
• Knowledge of monitoring and observability solutions.