Lead Software Engineer - Python
- Posted 3 days ago
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Job Description
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 Infrastructure Platforms team, 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.
Job responsibilities
As a Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms team, 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.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads 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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands on experience with SW Development using Python(Django/FastAPI/Flask), RDBMs, NoSQL with microservice based architecture.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- 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
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Ability to initiate and implement ideas to solve business problems
- Passion for learning new technologies and driving innovative solutions.
More Info
Job Type:
Function:
Employment Type:
Key Skills
cloud native experience
microservice based architecture
AI-assisted software development tools
About Company
Skills:
Agile Methodologies, Bitbucket, Django, Testing, React, System Design, Angularjs, FastAPI, Python, Application Development, Flask, Api Development, cloud environments, Astronomer Airflow, AI-assisted software development tools, operational stability
Skills:
snowflake , Oauth, Rest Api, Git, FastAPI, Azure, Python, Logging, LangChain, Agent Memory, Token Optimization, Multi-Agent Orchestration, Azure AI Foundry, Agent Observability, LLM Evaluation, AutoGen, LangGraph, RAG, OpenAI, Monitoring
Skills:
Python, Agentic AI systems, LLM integration patterns, low-code configuration-driven frameworks, OpenShift Kubernetes
Skills:
Sql, Automation Scripting, Python development, Database Technologies, Git, Rest Apis, Data Processing, API integrations, CI CD pipelines, workflow automation