Lead Software Engineer - Production Support & SRE

JPMorgan Chase Bank; Bengaluru; On-site; INR 3,800,000 - 6,800,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Lead Software Engineer to strengthen production reliability and drive AI-assisted engineering practices. You will partner with cross-functional teams to enhance, build, and deliver trusted market-leading technology products with a focus on security, resiliency, and scalability.

You will serve as a trusted technical authority during incidents, production readiness reviews, and governance activities while championing SRE principles and modern engineering

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Experience in large-scale production environments in high-volume transaction platforms.
• Background in SRE/Production Engineering with reliability focus.
• Proven incident leadership, root cause analysis, problem management.
• Experience with production observability tools (Grafana, Splunk, Dynatrace).
• Automation development: scripting, CI/CD pipelines, release automation.
• Terraform or AWS CloudFormation experience.
• Experience with AI-assisted software development tools with secure adoption.
• Strong DevOps and CI/CD practices.
• Cloud-native practical experience and independent problem solving.

Responsibilities

• Serve as the technical production owner for critical Recon services and client-facing platforms, driving reliability and client experience.
• Lead technical response and restoration during major production incidents with cross-team coordination.
• Partner with development teams to remediate recurring failures and reduce technical debt.
• Define and improve SLOs, SLIs, error budgets, monitoring dashboards, and telemetry.
• Define and deploy monitoring on AWS; implement infrastructure automation via Terraform.
• Champions site reliability principles and AI-assisted engineering practices.
• Maintain production governance, access controls, runbooks, and operational reviews.
• Promote AI-assisted development tools with validation and security.
• Leverage SDLC toolchain and AI capabilities to boost automation value.
• Evolve and debug critical components and provide guidance for growth.

Skills

SRE principles

Incident management

DevOps

Troubleshooting

Education

Formal software engineering training

Tools

Grafana

Splunk

Dynatrace

Terraform

AWS

Job description

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

As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Banking Technology 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, your role requires to partner across software engineering, product, infrastructure, cyber, and production support teams to improve service health, resiliency, and client experience. You will serve as a trusted technical authority during major incidents, production readiness reviews, resiliency exercises, and operational governance activities while championing Site Reliability Engineering (SRE) principles and modern engineering practices.

Job Responsibilities

• Serve as the technical production owner for critical Recon services and client-facing platforms, driving reliability, availability, scalability, operational efficiency, and client experience through SRE principles.
• Lead technical response and restoration efforts during major production incidents, accelerating recovery and coordinating across engineering, infrastructure, cyber, and support teams.
• Partner with development teams to identify recurring failure patterns, drive root cause remediation, reduce technical debt, and prevent recurrence.
• Define and improve SLOs, SLIs, error budgets, reliability metrics, monitoring, telemetry, dashboards, alerting, and operational analytics.
• Define and deploy monitoring, metrics, and logging systems on AWS and implement/Enhance infrastructure automation via IaaC using Terraform
• Demonstrates site reliability principles and practices every day and champions the adoption of site reliability throughout the team
• Works toward becoming an expert on the applications and platforms in your remit while understanding their interdependencies and limitations. Maintain strong production governance, including access controls, operational procedures, audit readiness, runbooks, documentation, MEPC execution, and operational review processes.
• 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.
• Evolves and debug critical components of applications and platforms. Provides comprehensive and ongoing guidance, tools, and solutions to support the firms growth

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Extensive experience supporting large-scale, mission-critical production environments in high-volume transaction or payment platforms.
• Experience in applying Production Engineering or Site Reliability Engineering principles to improve reliability and operational performance with strong background in Site Reliability Engineering principles, Production Engineering, Application Support, Platform Engineering, or Technology Operations.
• Proven experience leading complex production incidents, root cause analysis, problem management, service restoration, and recurrence elimination.
• Experience with production observability technologies such as Grafana, Splunk, Dynatrace, or comparable platforms.
• Experience developing automation using scripting, system integrations, engineering tooling, CI/CD pipelines, or release automation.
• Experience with automation tools like Terraform or AWS CloudFormation
• 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 with DevOps practices and CI/CD pipelines with excellent problem-solving and troubleshooting skills
• Practical cloud native experience and ability to tackle design and functionality problems independently with little to no oversigh

Preferred qualifications, capabilities, and skills

• Hands-on experience with AWS and enterprise observability platforms including Grafana, Splunk, Dynatrace.
• Experience with GitHub Copilot, AI-assisted engineering, and prompt engineering for operational analysis, automation, troubleshooting, or reporting.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.