Python Lead Software Engineer

United States Digital Space LLC; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

JPMorgan Chase in London seeks a Lead Software Engineer within IP - Network Services. You will join an agile team delivering trusted, scalable tech in a secure environment, contributing across multiple domains and ensuring robust production quality.

As a core engineer, you will design, develop, and review Python code, lead AI-assisted development practices, and collaborate with vendors and internal teams to improve architecture, security, and reliability of our network data services.

Qualifications

• Formal training or certification in software engineering concepts.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming languages.
• 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.
• Strong understanding of responsible AI use in engineering workflows.
• Practical experience in cloud computing and networking technologies.

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.
• Drive 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 patterns.
• Apply knowledge of SDLC tools and automation capabilities to improve value realized by automation.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve stability of software applications and systems.
• Lead evaluation sessions with external vendors, startups, and internal teams on architectural designs and applicability for use within existing systems.
• Lead communities of practice across Software Engineering to drive awareness and use of new technologies.
• Contribute to a team culture of diversity, opportunity, inclusion, and respect.

Skills

Python

CI/CD

Cloud computing

Networking

AI-assisted engineering

Linux

Job description

JOB DESCRIPTION

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the IP - Network Services, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Team Overview

The Common Tooling Platform Data Services team develops and maintains microservices that handle the fetching, enriching, consolidating, and distribution of network metadata to customers. The team also creates an event‑based inventory system to facilitate communication across the network ecosystem, ensuring efficient management and accessibility of network data.

Job 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.
• Drive team adoption of enterprise‑authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Apply 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.

Required Qualifications, Capabilities, and Skills

• 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 (e.g., for coding, code review, test acceleration, troubleshooting) 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.

Preferred Qualifications, Capabilities, and Skills

• Experience in designing, implementing, and managing network infrastructure, including routers, switches, firewalls, and load balancers.
• Ability to troubleshoot complex network issues and optimize network performance and reliability.
• Experience in configuring and managing cloud‑based network services (e.g., AWS VPC, Azure Virtual Network, Google Cloud Networking).
• Experience with network automation tools and scripting languages (e.g., Ansible, Python) to streamline network operations.
• Experience with both relational and non‑relational databases (ideally MongoDB and Oracle).
• Proficiency in working with Linux operating systems, including scripting and basic administration tasks.
• Familiarity with network monitoring and management tools such as Wireshark, Nagios, SolarWinds, or similar.