Lead Software Engineer - Java, AWS, golang

Security Capital Research; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

JPMorgan Chase in Bengaluru seeks a Lead Software Engineer to advance secure, scalable market-leading technology products. You will contribute as a core technical team member, delivering high-quality production code and architecting solutions across multiple domains.

The role emphasizes private Kubernetes and AWS EKS deployment, AI-assisted tooling, strong CI/CD, and secure coding practices within an agile environment.

Qualifications

• Formal training or certification on software engineering concepts and 8+ years’ applied experience.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Skills

Java

Go-Lang

CI/CD

Agile practices

Security awareness

Tools

Kubernetes

AWS (EKS)

Terraform/CloudFormation

Job description

Lead Software Engineer - Java, AWS, golang

Job Information

• Job Identification 210802862
• Job Category Software Engineering
• Business Unit Commercial & Investment Bank
• Posting Date 10/29/2026, 07:47 AM
• Apply Before 11/06/2026, 05:00 AM
• Job Schedule Full time
• Job Shift Day

Job Description

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 8+ years’ applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proficient hands‑on experience in Java, Go‑Lang programming languages using micro‑services architecture
• Strong database fundamentals across both SQL and NoSQL, including data modeling and design patterns, indexing strategies, query optimization, and transaction management
• Hands‑on experience deploying and operating workloads inprivate Kubernetes environmentsand within theAWS Kubernetes ecosystem(e.g., EKS), including Deployments, Services, Ingress, configuration and secrets management, and autoscaling
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong 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 coaching engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

• Messaging/streaming systems (Kafka/SQS/SNS/RabbitMQ) and event‑driven architectures.
• Experience with service mesh / advanced traffic management (e.g., Istio/Linkerd) and API gateways
• Infrastructure-as-Code exposure (Terraform/CloudFormation) and environment automation