Software Engineer III - Java, J2EE, Springboot, AWS

United States Digital Space LLC; Karnataka; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

United States Digital Space LLC in Karnataka, India seeks an experienced Software Engineer III to design and deliver scalable, secure software as part of an agile team.

You will work across the full SDLC, apply enterprise AI-assisted coding tools, and collaborate with cross-functional groups to meet business objectives with reliability.

Bring 3+ years of hands-on experience with Java, Spring Boot, AWS, and modern development practices to drive impactful, high-quality software.

Qualifications

• 3+ years of hands-on experience in software engineering.
• Experience in large corporate environments with modern programming languages and database querying languages.
• Proficient in Java, Spring Boot, J2EE and AWS.

Responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting.
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance.
• Leverages AI coding assist tools to improve code quality, delivery speed, and productivity while validating outputs.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems.

Skills

Java

Spring Boot

AWS

CI/CD

AI tools

Secure coding

Education

Software engineering certification

Tools

J2EE

SQL

Job description

JOB DESCRIPTION

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at the company within the Connected Commerce, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrable ability to code Java, Springboot J2EE & AWS
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies

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