Software Engineer III - Java, Kafka, AWS, Bigdata/Spark/Flink

JPMorgan Chase & Co.; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Software Engineer III in the EHP Card Streaming team within Consumer and Community Banking. You will drive card streaming modernization, implement secure production code, and collaborate on architecture while leveraging AI-assisted development tools for quality and speed.

You will work in a large enterprise environment, applying Java, Kafka, and cloud technologies, with a focus on data-driven improvements and secure coding practices.

Qualifications

• 3+ years of practical software engineering experience.
• Experience in system design, application development, testing, and operational stability using Java, Kafka, AWS or other cloud technologies.
• Hands-on experience with AI-assisted development tools and responsible AI practices.
• Solid understanding of CI/CD, application resiliency, and security.
• Streaming & Event-Driven: Apache Kafka, event-driven architecture.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with the ability to tackle complex problems.
• Creates secure and high-quality production code and maintains algorithms.
• Leverages enterprise AI coding tools to improve code quality, delivery speed, and productivity, with peer review and automated testing.
• Applies SDLC toolchain knowledge to improve automation value.
• Produces architecture and design artifacts ensuring design constraints are met by code.
• Gathers, analyzes, and visualizes data to support continuous software improvement.
• Identifies hidden data patterns to drive coding hygiene and architecture improvements.

Skills

Java

Kafka

Cloud (AWS/Azure/GCP)

AI-assisted development

CI/CD

Agile methodologies

Data visualization

Tools

Apache Kafka

Spark

SQL/DB querying

Job description

As a Software Engineer III at JPMorganChase within the EHP Card Streaming team in Consumer and Community Banking line-of-business, you serve as a key player for CARD streaming and modernization agile team.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• 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.
• 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

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 using Java, Kafka, AWS or other cloud technologies like Azure/GCP
• 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, 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.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Streaming & Event-Driven:Apache Kafka, event-driven architecture, messaging patterns (pub/sub), schema management

Preferred qualifications, capabilities, and skills

• Strong soft skills, including presentation, negotiation, mentoring, stakeholder management, problem-solving, analytical, and communication skills.
• Data Processing:Apache Spark, Apache Flink (stream processing)
• AWS certification.