Senior Lead Software Engineer - Python Backend Developer

JPM Unternehmensgruppe

IndiaremotePosted 1 month ago

Skill Required

Software-EngineerPython-Backend-DevelopmentBackend-EngineeringPython-DevelopmentSoftware-DevelopmentSenior-Python-Backend-DeveloperSenior-Backend-Python-DeveloperLead-Software-Engineer-PythonSenior-Python-Software-EngineerLead-Backend-DeveloperSenior-Python-EngineerPython-Backend-EngineerPython-Backend-DeveloperPython-DeveloperLead-Python-DeveloperBackend DeveloperSoftware EngineerSoftware DeveloperPython DeveloperPythonsoftware engineeringtroubleshootingOWASPEngineeringR ProgramminganalyticalautomationdebuggingsecuritybuildingGraphQLTestNGAgileDesign PatternsAWSandAIFulltime

Key highlights

5+ years of applied software engineering experience
Expertise in Python backend development with SOLID, YAGNI, KISS principles
Experience leading adoption of enterprise‑authorized AI‑assisted development tools
Knowledge of AWS and event‑based distributed architecture
Role focuses on building next‑generation trade structuring tools for JPMorgan Chase’s Markets division
Preferred knowledge of GraphQL and Investment Banking/Markets

Role overview

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top‑notch technology products. As a Senior Lead Software Engineer – Python Backend Developer at JPMorgan Chase within the Commercial & Investment Bank, you will work on the next generation of trade structuring tools for Markets, collaborating with the Athena Trade Risk & Services function and delivering trusted, secure, stable, and scalable technology solutions.

Responsibilities

Write awesome, high quality Backend Python code following the principles of SOLID, YAGNI and KISS
Participate in requirements meetings with our users and propose technical solutions
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Evangelize and seek new opportunities for our product to be used by other development teams not already using the platform.
Complete full lifecycle development projects as well as post-production maintenance and enhancements
Support other development teams using our components by answering questions, researching system issues, identifying root causes, and resolving problems

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience
Strong technology background with experience in object-oriented programming, test driven development viz Python.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
Experience in building and debugging application build on distributed computing architecture.
Good understanding of event based architecture.
Strong Analytical and problem-solving skills.
Good interpersonal skills and able to work effectively in a global team.
Self-starter and willing to work in a dynamic environment with constantly evolving priorities.
Knowledge of AWS.
Hands-on, delivery-focused, technical position involving a lot of analysis, coding, testing and interfacing with our end users. There will be a high degree of teamwork and technical peer interaction involved.

Nice to have

Knowledge of GraphQL is good to have.
A good knowledge of Investment Banking and Markets is highly desirable but a thirst for knowledge and the knack to apply that knowledge is just as good to us.