Senior Lead Software Engineer - Azure DevOps

JPMorgan Chase & Co.; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru, India is seeking a Senior Lead Software Engineer - Azure DevOps to drive secure, scalable software delivery within Asset & Wealth Management. You will lead an agile team, provide technical guidance, and advance AI-assisted engineering practices across the SDLC.

The role emphasizes cloud expertise, containerization, RESTful APIs, and modern DevOps tooling, with a strong focus on security, reliability, and collaboration across architects and engineers.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Azure cloud expertise supporting mission-critical production environments.
• Strong hands-on experience with Python, Java, and Shell scripting; experience with Git, CI/CD, IaC, Terraform and Jenkins.

Responsibilities

• Provides technical guidance to the business and its teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews others' code.
• Drives adoption of AI-assisted engineering practices across teams with measurable validation standards.
• Applies SDLC toolchain knowledge to improve automation and value realization.
• Influences product design, application functionality, and technical operations.
• Acts as a function-wide subject matter expert in one or more areas of focus.
• Contributes to the engineering community by promoting firmwide frameworks and practices.

Skills

Azure cloud

Python

Java

Shell scripting

Git

CI/CD

IaC

Terraform

Jenkins

RESTful APIs

Event-driven

Serverless

Docker

Kubernetes

GKE

Helm

Azure Monitor

Datadog

Prometheus

Splunk

Elasticsearch

Grafana

AI-assisted engineering

SRE workflows

Guardrails

Responsible AI

Tools

Git

CI/CD

IaC

Terraform

Jenkins

Docker

Kubernetes

GKE

Helm

Azure Monitor

Datadog

Prometheus

Splunk

Elasticsearch

Grafana

GitHub Copilot

Job description

Senior Lead Software Engineer - Azure DevOps

Job Information

• Job Identification 210780977
• Job Category Software Engineering
• Business Unit Asset & Wealth Management
• Posting Date 10/01/2026, 07:50 AM
• Apply Before 10/30/2026, 06:30 PM
• Job Schedule Full time

Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer - Azure DevOps at JPMorganChase within the Asset and Wealth Management, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• ProvenAzure cloudexpertise supportingmission-critical productionenvironments.
• Strong hands-on experience with modern development languages (Python, Java, Shell scripting) and engineering practices/tools includingGit,CI/CD,Infrastructure as Code (IaC),Terraform, andJenkins.
• Experience designing and buildingRESTful APIs, including integration withevent-drivenand/orserverlessarchitectures.
• Strong understanding of containerization and orchestration technologies, includingDocker,Kubernetes,GKE, andHelm.
• Hands-on experience with cloud deployment, monitoring, and operations, using tools such asAzure Monitor,Datadog,Prometheus,Splunk,Elasticsearch, andGrafana.
• Demonstrated experience usingenterprise-authorized AI capabilitiesto improveSREworkflows (e.g., incident investigation support and knowledge capture), with strong validation habits and awareness of data sensitivity.
• Ability to evaluateAI-assisted operational recommendationsfor correctness and risk, define appropriateguardrailsfor team usage, and ensure outcomes align with resiliency and security expectations.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.

Preferred qualifications, capabilities, and skills:

• Working knowledge of operating systems, includingWindowsandLinux(Red Hat / Ubuntu).
• Familiarity withLLMsand broaderAI/ML frameworksapplicable toAIOpsuse cases.
• Working knowledge ofagentic AI SDKsandGitHub Copilotskills/capabilities.
• Public cloud certificationor equivalent depth of technical experience in public cloud platforms.