Manager Of Software Engineering - Backend Cloud And Observability

JPMorganChase; Bengaluru; On-site; INR 5,500,000 - 7,000,000; Full time

Job summary

JPMorganChase in Bengaluru is seeking a Manager of Software Engineering to lead multiple teams within the Commercial & Investment Bank. You will guide day-to-day implementation activities, ensure compliance with business requirements, and drive delivery with enterprise-standard AI-assisted practices.

You will mentor engineers, set team expectations, and collaborate across functions to deliver secure, scalable software solutions in a fast-paced financial services environment.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience coaching and mentoring teams.
• Experience leading technology projects and technologists.
• Experience driving enterprise AI-assisted development with defined ways of working.
• Understanding of responsible AI, data sensitivity, security, and governance.

Responsibilities

• Provides guidance to the immediate team of software engineers on daily tasks.
• Sets overall guidance and expectations for team output and collaboration.
• Leads adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation.
• Applies SDLC tools to improve automation value and capacity unlock initiatives.
• Anticipates dependencies with other teams to deliver aligned with business requirements.
• Manages stakeholder relationships and team work per compliance and SLAs.

Skills

Coaching & mentoring

Leading technology projects

AI-assisted development

Secure data handling

Responsible AI governance

SDLC expertise

CI/CD & security

Cloud-native experience

Financial services IT

Education

Formal software engineering certification

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 worlds 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).