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JPMorgan Lead Software Engineer - Python Support 
India, Maharashtra, Mumbai 
319415874

01.04.2025

Job responsibilities

  • Provides Level 2/3 support for banking applications, ensuring timely resolution of incidents and minimizing downtime.
  • Builds & Monitors application performance dashboards, troubleshoot technical issues, and perform root cause analysis (RCA) for production incidents.
  • Collaborates with development, infrastructure, business teams and other stakeholders to resolve & communicate on complex technical issues.
  • Manages and prioritizes incident tickets, ensuring adherence to SLAs (Service Level Agreements) and OLAs (Operational Level Agreements).
  • Plans and executes patching, deployments, resiliency and maintenance of production infrastructure with collaboration with technical and business stakeholders.
  • Documents support processes, known issues, and resolutions in the knowledge base
  • Designs, implements, and maintains monitoring, alerting, and automation solutions to ensure system reliability and performance.
  • Defines and tracks SLOs (Service Level Objectives), SLIs (Service Level Indicators), and error budgets for critical banking applications.
  • Supports and Maintains CI/CD pipelines to enable seamless deployment and rollback processes
  • Conduct capacity planning, performance tuning, and disaster recovery testing.

Required qualifications, capabilities, and skills

  • Formal training or certification onsoftware engineering*concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced inPython, Oracle, AWS Services, Databricks, DataDog, Geneos, , Kafka, Splunk, Dynatrace & Grafana (Prometheus).
  • Experience in supporting banking-specific applications such as core banking systems, payment processing, trade finance
  • Ensures compliance with banking regulations and security standards.
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)