Senior Software Engineer - Platform Engineering

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

JP Morgan Services India Pvt Ltd is seeking a Software Engineer III - Platform Engineer to join the Consumer and Community Banking technology team in Bengaluru. The role emphasizes delivering secure, scalable software with automated testing, observability, and enterprise-grade tooling.

The engineer will contribute to design artifacts, data visualizations, and continuous delivery pipelines, while applying safe-use practices for AI-assisted development and maintaining system stability across

Qualifications

• Formal training or certification on software engineering concepts.
• 3+ years applied experience in system design, development and operations.
• Experience with Java or Python and modern cloud platforms.
• Experience in CI/CD, monitoring, and secure coding practices.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with non-routine approaches.
• Produces secure, high-quality production code and maintains scalable algorithms.
• Own end-to-end pipeline ownership including blue/green deployments and GitOps practices.
• Gathers and analyzes data to improve software quality and system architecture.

Skills

Java

Python

AWS

Azure

GCP

CI/CD

Spinnaker

Jenkins

GitOps

Observability

Tools

Dynatrace

Splunk

Prometheus

Grafana

Jenkins

Spinnaker

Job description

Software Engineer III - Platform Enginner

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 Experience Level Senior Level