Python Lead Software Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats 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.