C
Lead Software Engineer
C
- Posted 11 hours 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 Consumer and community banking technology 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 Consumer and community banking technology 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 practical experience delivering system design, application development, testing, and operational stability
- 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
- 5+ years experience delivering production systems end-to-end.
- Deep expertise inJava 8+ / Spring Boot, microservices, andReact/Angular.
- Strong Kafka/event-driven architecture experience (retries, idempotency, DLQ patterns, schema/versioning).
- Strong NoSQL experience:Cassandra / DynamoDB / Elastic Search(data modeling, reliability, scale).
- Strong experience withCloud Foundry/AWSand CI/CD strategy and execution.
- Demonstrated leadership in design reviews, mentoring, and cross-team technical alignment.
More Info
Job Type:
Function:
Employment Type:
Key Skills
Idempotency
Schema versioning
Retries
AI-assisted software development tools
CI/CD strategy and execution
Java 8+
AI-assisted code review
Software Development Life Cycle toolchain
Kafka event-driven architecture
DLQ patterns
About Company
Skills:
AWS, Java, Dynamodb, Python, Golang, Elasticsearch, PostgreSQL, MongoDB, AI-assisted software development tools, Agentic AI frameworks, Opensearch
Skills:
snowflake , PLSQL Development, Ms Azure, Devops, Node JS, ARM templates, Kafka, Cognos, Service NOW, Azure Ad, Rest Api, Unix, Private Cloud, Github, Express, JIRA, React Js, Jenkins, Oracle Pl Sql, AKS, CI CD, Virtue Networks, Type ORM, Unix Batch scripting, Application gateway, Event Hub
Skills:
lifecycle management , Graphql, Spring Boot, Node.js, Microservices, Gcp, Openshift, Restful Apis, Azure, Kubernetes, AWS, Distributed systems architecture, Cloud-native application development, DevSecOps practices, Security, Containerized platforms, API strategy governance, Monitoring platforms, CI CD pipelines, Observability
Skills:
snowflake , Databricks, Java, Typescript, Kafka, MLops, Microservices, AWS, Python, Kubernetes, Docker, Spark, LLM solutions, Cloud Platforms, Semantic Kernel, Vector databases, LLMOps, LangChain, CrewAI, AI-assisted software development tools, Embeddings, Cybersecurity controls, Large-scale knowledge retrieval architectures, AI agents and agentic workflows, LangGraph, AI governance, AutoGen, Data sensitivity handling
Skills:
Java, Tomcat, Unix Administration, Maven, Spring Boot, Sql, Git, Api Gateway, AWS, Typescript, Shell scripting, Java Shared Libraries, Advanced Java concepts and APIs