Software Engineer II - Java, Kafka, Microservices , Kubernetes

JPMorgan Chase & Co.; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai seeks a Software Engineer II to join an agile team delivering secure, scalable software components for state‑of‑the‑art technology products.

You will contribute to design, development, and troubleshooting across the SDLC and work with AI-assisted tooling to boost quality and delivery speed. You will gain experience in enterprise‑level systems, modern programming languages, and data-driven decision making within a large corporate environment.

Qualifications

• Formal training or certification in software engineering concepts.
• Experience with Java-based development and large codebases.
• Familiarity with AI-assisted development tools and secure coding practices.
• Understanding of SDLC and agile methodologies.

Responsibilities

• Executes standard software solution design, development and troubleshooting.
• Writes secure, high-quality code with limited guidance.
• Leverages enterprise AI coding assist tools to improve quality and productivity, with peer review.
• Designs, develops, codes, and troubleshoots with consideration of upstream/downstream systems.
• Applies SDLC tooling and automation capabilities to improve value from automation.
• Performs technical troubleshooting for basic complexity problems.
• Gathers and analyzes large data sets to inform decisions in secure, stable app development.
• Learns and applies system processes for secure, stable code and systems.

Skills

Java

Multithreading

Kafka

System design

Application development

Testing

Operational stability

CI/CD

Security

AI-assisted tools

Education

Software engineering concepts training

Tools

AI coding assistants

CI/CD tooling

Job description

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Corporate & Investment Bank, you are part of an agile team that designs, enhances, and delivers software components for the firm’s state‑of‑the‑art technology products, ensuring they are secure, stable, and highly scalable.

Job responsibilities

• Executes standard software solution, 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 technical troubleshooting to breakdown 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
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands‑on practical experience - Java, Multithreading, Kafka
• 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
• 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.
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front‑end technologies
• Relevant experience in designing, developing, and implementing software solutions, constantly seeking to be an expert