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Manager of Software Engineering - Backend, Cloud & Observability

JPMorgan Chase
Bengaluru, IND
Manager · 5+ years experience
Discovered 1 months ago
airflowdynatracegrafanajavajavascriptprometheus

Full Job Posting

  • 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
  • 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
  • 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).

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