Manager of Software Engineering - Backend, Cloud & Observability

JPMorganChase; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Manager of Software Engineering within the Commercial & Investment Bank to guide multiple teams and drive day-to-day delivery. You will oversee AI-assisted engineering practices, ensure security and compliance, and align work with business requirements.

You will lead enterprise-wide tooling adoption and foster robust SDLC processes while coordinating with stakeholders to optimize delivery outcomes.

Qualifications

• Formal training or certification in software engineering with 5+ years of hands-on experience.
• Experience coaching and mentoring others.
• Experience leading technology projects and technologists.
• Experience adopting enterprise AI-assisted development and delivery tools.
• Understanding of responsible AI use in engineering workflows.
• Proficient in the Software Development Life Cycle (SDLC).
• Advanced understanding of agile methodologies including CI/CD, resiliency, and security.
• In-depth knowledge of the financial services IT landscape.
• Practical cloud-native experience.

Responsibilities

• Provides guidance to immediate team of software engineers on daily tasks and activities.
• Sets overall guidance and expectations for team output, practices, and collaboration.
• Leads team adoption of AI-assisted engineering practices and SDLC/TLM automation with emphasis on validation and security.
• Applies SDLC toolchain knowledge to improve automation and delivery value.
• Anticipates dependencies with other teams to deliver products aligned with requirements.
• Manages stakeholder relationships and ensures compliance with SLAs and business needs.

Skills

5+ years exp

Coaching

Tech project leadership

AI-assisted development

Responsible AI

SDLC proficiency

CI/CD & Security

Cloud native

Financial IT domain

Tools

Airflow

Spark

Relational DB

Document DB

Python

React

Next.js

Dynatrace

Splunk

Grafana

Prometheus

Job description

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.

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 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).