Python Lead Engineer – AI-Driven, Secure Network Tools

JPMorgan Chase & Co.

Greater London

On-site

GBP 90,000 - 140,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in London seeks a Lead Software Engineer within IP - Network Services to drive secure, scalable, and trusted technology products. You will be a core contributor delivering cross-functional solutions and mentoring teams across multiple business functions.

You will design, develop, and review production code, adopt AI-assisted engineering practices, and help automate software delivery while ensuring resiliency and security across cloud and on-premise environments.

Qualifications

  • Formal training or certification on software engineering concepts and proficient advanced experience developing in Python.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced in one or more programming language(s).
  • Proficiency in automation and continuous delivery methods.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
  • Practical experience in cloud computing.
  • Knowledge of network protocols and technologies such as TCP/IP, DNS, DHCP, BGP, OSPF, and MPLS.

Responsibilities

  • Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Develop secure high-quality production code, and review and debug code written by others.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team.
  • 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.
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
  • Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
  • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
  • Contribute to a team culture of diversity, opportunity, inclusion, and respect.

Skills

Python development
Cloud computing
Leadership
CI/CD
AI-assisted engineering
Security

Tools

Ansible
Linux
Wireshark
Nagios
SolarWinds

Job description

JPMorgan Chase & Co. in London seeks a Lead Software Engineer within IP - Network Services to drive secure, scalable, and trusted technology products. You will be a core contributor delivering cross-functional solutions and mentoring teams across multiple business functions.

You will design, develop, and review production code, adopt AI-assisted engineering practices, and help automate software delivery while ensuring resiliency and security across cloud and on-premise environments.

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