Python Lead Software Engineer at JPMorganChase – LONDON | Jobyssey

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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.
Drives 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.
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.

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.

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