Manager of Software Engineering - Backend, Cloud & Observability

• *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).

• *ABOUT US**