Lead Software Engineer-Golang

Aumni; Bengaluru; On-site; INR 4,200,000 - 7,800,000; Full time

Job summary

JPMorgan Chase in Bengaluru invites a Lead Software Engineer to join the Infrastructure Platforms team. You will be a core technical contributor shaping large-scale, secure, and scalable software through design, development, and trusted delivery.

You will build cloud-native services with Kubernetes on at least one cloud provider (AWS, GCP, or Azure), write production-grade Golang and/or Java, enforce secure coding standards, and drive automated testing and AI-assisted engineering practices

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s).
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs.
• Strong understanding of responsible AI use in engineering workflows and security considerations.
• 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.
• Practical cloud native experience.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches.
• Build and operate cloud-native solutions using Kubernetes with strong systems fundamentals, on at least one cloud provider (AWS / GCP / Azure).
• Develop services primarily in Golang and/or Java (either or both).
• Produce secure, high-quality production code aligned to engineering best practices.
• Review and debug code written by others while enforcing consistent validation standards (secure coding, peer review, automated testing).
• Drive consistent validation practices across the team to improve overall code quality and delivery outcomes.
• Promote reuse of effective patterns and scalable approaches across the team to improve engineering efficiency.
• Identify and implement opportunities to automate remediation of recurring issues to improve operational stability and lead evaluation sessions with external vendors/internal teams.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities.

Skills

Programming languages

Cloud technologies

AI-assisted development tools

CI/CD & Agile

Software architecture

Security & resiliency

Education

Software engineering certification/training

Tools

Kubernetes

Cloud providers (AWS/GCP/Azure)

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms team, 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
• Build and operate cloud-native solutions using Kubernetes with strong systems fundamentals, on at least one cloud provider (AWS / GCP / Azure)
• Develop services primarily in Golang and/or Java (either or both)
• Produce secure, high-quality production code aligned to engineering best practices
• Review and debug code written by others while enforcing consistent validation standards (secure coding, peer review, automated testing)
• Drive consistent validation practices across the team to improve overall code quality and delivery outcomes
• Promote reuse of effective patterns and scalable approaches across the team to improve engineering efficiency
• Identify and implement opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability, and lead evaluation sessions with external vendors/startups and internal teams to assess architectural designs and technical fit within existing systems and information architecture
• 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
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• 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
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Spec Drive Development (SDD) experience is a plus
• Strong AI tool usage fluency (comfortable leveraging AI tools in day-to-day engineering workflows)
• Prior understanding of Cloud Governance is a plus

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team