Lead Software Engineer (Golang)

JP Morgan Services India Pvt Ltd

Bengaluru

On-site

INR 2,500,000 - 3,600,000

Full time

14 days+

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Job summary

JPMorgan Chase in Bengaluru seeks a Lead Software Engineer-Golang to join the Infrastructure Platforms team. You will be a core technical contributor shaping secure, scalable software across multiple business functions.

Responsibilities include building cloud-native services with Kubernetes on AWS/GCP/Azure, delivering high-quality code in Go and/or Java, and driving AI-assisted engineering practices to improve reliability and velocity.

Qualifications

  • Formal training or certification in software engineering concepts with 5+ years of applied experience.
  • Hands-on design, development, testing and operational stability across systems.
  • Advanced in one or more programming languages (Go and/or Java).
  • Experience using AI-assisted development tools with emphasis on security and correctness.
  • Knowledge of responsible AI use in engineering workflows and secure handling of data.
  • Familiarity with the Software Development Life Cycle and CI/CD practices.
  • Experience with cloud-native architectures and at least one cloud provider.
  • Understanding of financial services IT environments and security requirements.

Responsibilities

  • Design, develop, test, and troubleshoot software solutions with scalable architecture.
  • Build and operate cloud-native services using Kubernetes on AWS, GCP, or Azure.
  • Develop services primarily in Golang and/or Java.
  • Produce secure, high-quality production code following engineering best practices.
  • Review and debug code while enforcing standardized validation (security, testing).
  • Drive validation practices to improve code quality and delivery outcomes.
  • Promote reuse of patterns and scalable approaches across the team.
  • Identify opportunities to automate remediation and improve operational stability.
  • Lead evaluation sessions with external vendors and internal teams for architectural fit.
  • Encourage adoption of enterprise AI-assisted engineering practices to improve quality and speed.

Skills

Go
Java
System design
Application development
Testing
Operational stability
CI/CD
Security
Resiliency
AI tools usage
Responsible AI
SDLC
Cloud native
Cloud providers
Financial domain knowledge
AI-assisted development
Cloud governance

Job description

Lead Software Engineer-Golang 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
  • Experience Level Senior Level
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