Senior Software Engineer - Java & AWS

Software Engineer III Java AWS Agentic AI

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 JPMorganChase within the CONSUMER & COMMUNITY BANKING, 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

 

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

 

 Required qualifications, capabilities, and skills 

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Proficient in Java programming and coding.
• Comprehensive knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies, including CI/CD, application resiliency, and security.
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile).
• Provide secure AI tooling (identity, secrets, egress controls, logging/audit) so teams can use copilots and LLM services safely in enterprise environments.
• Develop golden paths for AI-assisted SDLC: prompt/playbook libraries, repo templates, CI quality gates, policy checks, and reference implementations.
• Run LLMOps for shared services: model/service selection, cost controls, latency/reliability SLOs, observability, incident runbooks, and change management.
• Enable RAG and knowledge integration patterns for apps (connectors, indexing pipelines, access controls, evaluation harnesses) as a reusable platform capability.
• Own AI governance alignment for platform offerings: data classification, retention, model risk considerations, and documented approved usage patterns

 

 Preferred qualifications, capabilities, and skills 

• Proficient in Java programming and Spring Boot, Microservices.
• Experience with cloud technologies, specifically AWS (EC2, EKS, S3).
• Strong experience with NoSQL (Cassandra, DynamoDB) and relational databases.
• Experience with Kubernetes and familiarity with Kafka.
• Good understanding of the financial and banking industry.gies

 

Experience Level

Senior Level