Software Engineer III - Platform Enginner

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Software Engineer III to join an agile team designing trusted market-leading technology products. You will deliver secure, scalable software across multiple tech areas to support business objectives.

You will drive architecture, data-driven improvements, AI-assisted coding enhancements, and production stability with observability, incident response, and continuous delivery practices.

Qualifications

• Formal training or certification in software engineering with 3+ years of applied experience.
• Hands-on system design, application development, testing and operational stability experience.
• Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and DB querying languages.
• Hands-on Java/Python experience, Automation, and cloud platforms (AWS/Azure/Google) with monitoring tools such as Dynatrace, Splunk, Prometheus/Grafana.
• CI/CD and progressive delivery with blue/green/Canary deployments; GitOps; orchestration tools like Spinnaker/Jenkins.
• Production reliability, SRE mindset, incident response, root-cause analysis, resiliency and observability focus.
• Experience using enterprise AI-assisted development tools; ability to evaluate AI outputs for correctness, performance and security.
• Understanding of responsible AI use in engineering workflows and secure handling of data.

Responsibilities

• Executes software solutions with design, development and troubleshooting.
• Creates secure, high-quality production code and maintains algorithms running with related systems.
• Leverages AI coding tools to improve code quality, delivery speed and productivity with peer review and automated testing.
• Applies SDLC tools including AI-assisted development and automation to improve value.
• Produces architecture and design artifacts for complex applications while ensuring constraints are met.
• Gathers and analyzes data to visualize and report for continuous software improvement.
• Identifies hidden data patterns to drive improvements in coding hygiene and system architecture.

Skills

System design

Application development

Testing

Operational stability

Code debugging

Database querying

Modern languages

AI-assisted development tools

Responsible AI

Agile methodologies

SRE mindset

Incident response

Root-cause analysis

Observability

CI/CD

Spinnaker

Jenkins

Front-end technologies

Cloud technologies

Security

Education

Software engineering degree or certification

Tools

Java

Python

Automation

AWS

Azure

GCP

Dynatrace

Splunk

Prometheus/Grafana

Spinnaker

Jenkins

AI-assisted development tools

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 JPMorganChase within the Consumer and Community Banking, 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 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
• 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 in Java/Python, Automation, AWS/Azure/Google cloud and monitoring tools like Dynatrace, Splunk, Prometheus/Grafana
• CI/CD & progressive delivery.End-to-end pipeline ownership — blue, green and cell-based rollouts, GitOps, artifact build, and orchestration (e.g., Spinnaker, Jenkins) — with strong safe-rollout and rollback judgment
• Production operational stability, SRE mindset.Incident response, root-cause analysis, resiliency, observability-driven debugging, reducing toil, and hardening production
• 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

Preferred qualifications, capabilities, and skills

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