Manager of Software Engineering - Automation QA

JPMorgan Chase & Co.; Mumbai; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Manager of Software Engineering to lead multiple teams within Asset & Wealth Management, guiding day-to-day implementation, ensuring compliance, and aligning with business requirements and best practices.

You will drive performance testing, automation frameworks, and CI/CD orchestration across multi-year programs, while mentoring a technofunctional QE team and advocating responsible AI usage in engineering workflows.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Strong understanding of Asset & Wealth Management functioning and trading.
• Hands-on experience with AWS stack (EC2, S3, Lambda, CloudWatch).
• Proficiency in performance testing tools: JMeter, LoadRunner, Gatling, BlazeMeter; experience with CI/CD tools (Jenkins, GitLab CI).
• Exposure to APM tools (AppDynamics, Dynatrace) and logging/monitoring platforms (ELK Stack, OpenSearch, Splunk, Grafana).
• Solid programming/scripting skills (Python, Java, Groovy, NodeJS, SQL).
• Excellent analytical, communication, and leadership abilities
• Strong programming skills in Python, NodeJS, Java, Groovy, SQL, big data, and scalable tech.
• Experience leading enterprise-authorized AI-assisted development adoption with secure data handling.

Responsibilities

• Build QE strategies for multi-year programs.
• Design and maintain reusable automated frameworks and CI automation.
• Develop automated performance testing frameworks and CI/CD pipelines.
• Execute load, stress, and scalability tests with tools like JMeter/LoadRunner/Gatling.
• Integrate monitoring/logging tools for real-time analysis.
• Collaborate with teams to define performance requirements and validate in AWS.
• People management for 6–8 technofunctional QEs.
• Lead adoption of enterprise AI-assisted engineering practices and SDLC automation.
• Apply SDLC tooling to improve automation value and capacity.

Skills

Leadership

Performance testing

Analytical thinking

Communication

Mentoring

AI-assisted development

Education

Software engineering concepts certification

5+ years of experience

Tools

AWS

JMeter

LoadRunner

Gatling

BlazeMeter

AppDynamics

ELK Stack

OpenSearch

Splunk

Grafana

Jenkins

GitLab CI

Dynatrace

Job description

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a Manager of Software Engineering at JPMorganChase within the Asset and Wealth Management organization, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities

• Build holistic QE strategies around multi-year, multi application programs
• Design, develop, and maintain reusable automated frameworks, tooling and utilities . Build CI automation capability
• Design, develop, and maintain automated performance testing frameworks and utilities. Implement and manage CI/CD pipelines for performance test orchestration and automated result generation.
• Execute load, stress, and scalability tests using tools such as JMeter, LoadRunner, Gatling, BlazeMeter, and similar.
• Integrate and leverage monitoring tools (APM, AppDynamics) and logging platforms (ELK Stack, OpenSearch, Splunk, Grafana) for real-time analysis and reporting.
• Collaborate with cross-functional teams to define performance requirements and ensure robust coverage.Analyze test results, identify bottlenecks, and recommend optimizations. Support pre- and post-deployment performance validation in AWS environments.
• People management for around 6-8 technofunctional QEs
• Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.

• 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 and support capacity unlock initiatives.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering* concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience
• Strong understanding of the AWM functioning and trading
• Strong hands-on experience with AWS stack (EC2, S3, Lambda, CloudWatch, etc.
• Proficiency in performance testing tools: JMeter, LoadRunner, Gatling, BlazeMeter etc. Experience with CI/CD tools (Jenkins, GitLab CI, etc.) and test orchestration.
• Exposure to APM tools (AppDynamics, Dynatrace) and logging/monitoring platforms (ELK Stack, OpenSearch, Splunk, Grafana).
• Solid programming/scripting skills (Python, Java, Groovy, NodeJS, SQL).
• Excellent analytical, communication, and leadership abilities
• Strong programming skills in Python, NodeJS, Java, Groovy, SQL, big data and an appetite to be able work on diverse technology at scale
• Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.