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 firms 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.