Lead Software Engineer
- Posted 22 hours ago
- Be among the first 10 applicants
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 JPMorganChase within the Asset and Wealth Management, 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 JPMorganChase within the Asset and Wealth Management, 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 practical experience delivering system design, application development, testing, and operational stability
- Experience in building applications using LLM driven code generation such as Claude Code or Microsoft copilot
- 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 knowledge of web application development on AWS
Good Experience in Java development, cloud deployments and in continuous delivery and DevOps tooling
Preferred qualifications, capabilities, and skills
Experience in building, evaluating and deploying Machine learning Models into Production
Experience in integration of standard AI/ML/LLM software solutions, design, development, and technical troubleshooting.
Experience working with Large Language Models (LLM)/GenAI technology like OpenAI API, (GPT models), HuggingFace models etc. having solid understanding of Transformers architecture.
Experience in Natural Language Processing and NLP tools and libraries like Spacy.
More Info
Job Type:
Function:
Employment Type:
Key Skills
AI-assisted software development tools
Web application development on AWS
DevOps tooling
Transformers architecture
LLM driven code generation
Cloud deployments
About Company
Skills:
Java, Elk Stack, Kafka, Microservices, Nosql, RDBMS, MySQL, MongoDB, AWS, LangChain, CrewAI, Agentic AI frameworks, LangSmith, LangGraph, OpenAI Agents SDK, MCP Model Context Protocol, LLM fundamentals, OpenTelemetry, Object-oriented development, Cloud-native applications, LlamaIndex, AI gateway architecture, LLM observability
Skills:
secure coding , Java, Data Modelling, Testing, PostgreSQL, API design, React, Flutter, Python, AI development tools, Reliability, Documentation, Copilot, Claude, CI CD, agent workflows, AI-assisted testing, Neptune DB, Amazon Kiro
Skills:
.Net Core, React, Spring Boot, Windows, Microservices, Nosql, Docker, Distributed Systems, Angular Js, Java, Sql, Linux, Azure, Kubernetes, AI system operations monitoring, cost-performance trade-offs, API SDK-based services, ChatGPT, AI ML basics, LLM usage patterns, AI-assisted development tools, responsible AI practices, enterprise compliance considerations, Messaging and event-driven architecture, Cloud platforms, REST Web APIs, GitHub Copilot
Skills:
Java, Kotlin, Python, PostgreSQL, Kafka, Spark, Test-Driven Development, Batch architectures, Flink, Cloud-native microservices, Elastic OpenSearch
Skills:
Java, Graphql, Agile Methodologies, Sql, Spring Framework, AWS, Graph DBs, Internet Technologies, Microservices architectures, DevSecOps practices, Scalable architectures, Cloud native applications, Software development lifecycle platforms and tools, NoSQL-based databases