At a Glance
- Tasks: Lead an agile team to develop innovative software solutions and enhance network services.
- Company: Join JPMorgan Chase, a global leader in financial services with a focus on diversity.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of a culture that values inclusion, respect, and continuous learning.
- Why this job: Make a real impact by working with cutting-edge technology in a dynamic environment.
- Qualifications: Proficient in Python with experience in software development and agile methodologies.
The predicted salary is between 63000 - 77000 Β£ per year.
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.
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.
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 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.
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).
- 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.).
- Knowledge of network protocols and technologies such as TCP/IP, DNS, DHCP, BGP, OSPF, and MPLS.
- 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.
We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Python Lead Software Engineer (Permanent) in London employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.