JP Morgan Chase

Runs a consumer bank and an investment bank

Manager of Software Engineering - Backend, Cloud & Observability

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts, with at least 5 years of applied experience.
Experience coaching and mentoring.
Experience leading technology projects and managing technologists.
Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining review and validation expectations, measuring outcomes, and ensuring secure data handling.
Understanding of responsible AI use in engineering workflows, including data sensitivity, resiliency and security implications, and governance expectations, with the ability to coach engineers on compliant and effective usage.
Proficiency in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies such as continuous integration and continuous delivery, application resiliency, and security.
In-depth knowledge of the financial services industry and its information technology systems.
Practical cloud-native experience.

Responsibilities

Provide guidance to the immediate team of software engineers on daily tasks and activities.
Set overall guidance and expectations for team output, practices, and collaboration.
Lead team adoption of enterprise-authorized AI-assisted engineering practices and Software Development Life Cycle and technology lifecycle management automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs and outputs, and consistent use of reusable patterns across teams.
Apply 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.
Anticipate dependencies with other teams to deliver products and applications in line with business requirements.
Manage stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements.

Desired Qualifications

Strong expertise and hands-on knowledge in backend engineering, including algorithms, Python, data backbones such as Airflow and Spark, relational and document database concepts, and cloud technologies.
Knowledge of artificial intelligence and machine learning technologies, including generative AI, large language models, and agentic AI.
Knowledge of frontend JavaScript or TypeScript and React or Next.js.
Observability skills, including OpenTelemetry agent setup and instrumentation patterns; Python and Java instrumentation and troubleshooting; Dynatrace dashboards and DQL; Splunk log analytics and search; Grafana dashboarding; Geneos alerting; and Prometheus time-series metrics.

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 Commercial & Investment Bank, 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

Provides guidance to immediate team of software engineers on daily tasks and activities
Sets the overall guidance and expectations for team output, practices, and collaboration
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.
Anticipates dependencies with other teams to deliver products and applications in line with business requirements
Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience.
Experience in demonstrated coaching and mentoring experience.
Experience in leading technology projects, managing technologists.
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.
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

Backend - Strong Expertise and Hands-on Knowledge on below, Strong understanding of algorithms. Python, Data backbones (Airflow, Spark). Core Database concepts (Relational & Document). Cloud technologies
AI/ML technologies (Gen AI/LLMs, Agentic AI etc)
Frontend Javascript/typescript, React/Next.
Observability Skillsets - Open Telemetry (agent setup and instrumentation patterns), Python and Java (instrumentation and troubleshooting), Dynatrace (dashboards, DQL), Splunk (log analytics/search), Grafana (dashboarding), Geneos (alerting) and Prometheus (time-series metrics).

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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