Software Engineer III - Java, AWS

United States Digital Space LLC; Maharashtra; On-site; INR 133,920 - 200,880; Full time

Job summary

United States Digital Space LLC is excited to offer an opportunity for a Software Engineer III in India, Maharashtra. You will be a part of an agile team at JPMorgan Chase, responsible for delivering secure and scalable technology solutions. Your role will include executing software development, troubleshooting, and applying data analysis for continuous improvement.

The position requires a strong background in AWS services and programming languages like Java and Python, along with a formal certification in software engineering.

Qualifications

• 3+ years of applied experience in software engineering.
• Understanding of responsible AI usage in engineering workflows.
• Hands-on experience using AI-assisted software development tools.

Responsibilities

• Execute software design, development, and troubleshooting solutions.
• Create secure and high-quality code.
• Produce architecture and design artifacts for applications.
• Gather and analyze data to improve software applications.
• Identify and drive improvements in coding hygiene and system architecture.
• Contribute to engineering communities of practice.
• Leverage AI coding assist tools to improve code quality.

Skills

AWS Services (S3, Glue, Redshift, Lambda, EMR)

Java

Python

Data Modeling (Data Vault 2.0, Star, Snowflake)

SQL (Advanced querying, performance tuning)

Data Quality & Governance

AI-assisted software development tools

Education

Formal training or certification in software engineering

Tools

Databricks (Notebooks, Jobs, Delta Lake)

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 JPMorgan Chase within the Commercial & Investment Bank, 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 software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience AWS Services: S3, Glue, Redshift, Lambda, EMR
• Languages: Java, Python
• Experience in Data Modeling: Data Vault 2.0, Star, Snowflake schema, normalization
• SQL experience: Advanced querying, performance tuning
• Experience in Data Quality & Governance: Validation frameworks, monitoring. Databricks: Notebooks, Jobs, Delta Lake
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities, and skills

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