Software Engineer III - Fullstack

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology - Business Banking team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
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
Own design and delivery for full-stack features (Java/Spring Boot + React/Angular).
Build resilient services and integrations (Kafka/eventing, downstream dependencies).
Drive engineering quality through reviews, automation, test strategy, and CI/CD improvements.
Improve production readiness (monitoring, alerting, dashboards, runbooks) and reduce recurring incidents.
Mentor engineers and help standardize best practices across the squad.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Strong Java and Spring Boot and React/Angular full-stack delivery.
Experience developing Kafka producers/consumers in Java
Experience with SQL databases such as Aurora – Postgres or equivalent with data modelling, query optimization and performance tuning.
NoSQL experience: Cassandra / DynamoDB / Elastic Search (modeling + performance).
Hands-on Cloud Foundry/AWS and building/maintaining CI/CD pipelines.
Strong quality mindset, including TDD, automation, design and code reviews, and engineering mentorship.
Ability to work with tools such as Dynatrace, Splunk, Grafana for observability and monitoring
Experience building applications with resilient, highly available architectures, including consideration for failure modes, recovery, and operational readiness.
Preferred qualifications, capabilities, and skills
Familiarity with modern front-end technologies
Exposure to cloud technologies
Experience with advanced AI/LLM capabilities, including LLM integrations, agentic workflows, retrieval-augmented generation (RAG), and tool calling, is a plus.
Cross-team delivery leadership, PCI exposure, AWS cert are pluses.
Working knowledge of secure engineering practices and designing to meet Cyber Security and Technology Control requirements (e.g., authentication/authorization, secure APIs, data protection, dependency hygiene).