Python Lead Software Engineer

JP Morgan Chase · London, England ·

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Overview

As Lead Software Engineer at JPMorgan Chase, you will drive secure, scalable software solutions within the IP - Network Services group. You’ll contribute technically across multiple areas, leading design, development, and troubleshooting to support the firm’s objectives. You’ll promote AI-assisted engineering practices to improve quality, speed, and reliability, while coaching teams on safe, compliant adoption. You will work closely with cross-functional partners to deliver trusted market-leading technology. This role offers impact across architecture, automation, and cloud-enabled networks.

Responsibilities

  • Design, develop, and troubleshoot software solutions with innovative approaches
  • Develop secure production code and perform code reviews
  • Adopt enterprise AI-assisted engineering practices to improve quality and delivery
  • Establish validation standards for secure coding, testing, and reuse of patterns
  • Identify opportunities to automate recurring issues to improve stability
  • Lead evaluation sessions with external vendors and internal teams on architecture
  • Lead communities of practice to promote new technologies
  • Foster a culture of diversity, inclusion, and respect

Key requirements

  • Formal training or certification in software engineering; proficient in Python
  • Hands-on experience in system design, app development, testing, and operations
  • Advanced in one or more programming languages
  • Proficiency in automation and continuous delivery
  • Proficiency in all SDLC aspects
  • Advanced understanding of agile methodologies including CI/CD, resiliency, and security
  • Experience using AI-assisted development tools and validating their outputs
  • Strong knowledge of cloud computing and security practices
  • Understanding of network protocols (TCP/IP, DNS, DHCP, BGP, OSPF, MPLS)
  • leadership
  • cross-functional collaboration
  • communication
  • Python
  • AI-assisted development tools
  • cloud computing
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