Software Engineer III - Full Stack

Worky; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III to join a seasoned agile team. You will design, develop, and deploy AI-enabled products, owning features across backend and frontend, and integrating LLM/agent capabilities into production systems.

You will work with Python services, React UIs, and cloud-native architectures on AWS, using containers and microservices. Strong standards for security, testing, and collaboration are expected.

Qualifications

• Formal training or certification on software engineering concepts.
• 3+ years of applied software engineering experience.
• Proficient in Python and React with modern UI skills.
• Cloud-native development with containers and APIs/microservices.
• Experience with LLMs/agent AI production work.
• Strong database knowledge (PostgreSQL/Aurora).
• Secure coding practices and code reviews.

Responsibilities

• Execute software solutions with design, development and troubleshooting.
• Design and build Python services and UIs, deploy to cloud infra.
• Integrate LLMs/agent frameworks into real workflows.
• Develop with PostgreSQL/Aurora; design schemas and queries.
• Work with enterprise AI tools; ensure code quality and security.
• Advocate secure, resilient software and CI/CD practices.
• Produce architecture/design artifacts for complex apps.
• Analyze data to drive continuous software improvements.

Skills

Python

React

JavaScript/TypeScript

CI/CD

Agile methodologies

Security

LLM/AI tooling

Education

Software engineering fundamentals

Tools

PostgreSQL/Aurora

AWS

Kubernetes/EKS

LLM APIs/Frameworks

Git

OpenTelemetry

Job description

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 Corporate Sector, 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 will develop end‑to‑end AI‑enabled products; own features across backend and frontend, deploy to cloud infrastructure, and integrate LLM/agent capabilities into production systems. The role values practical delivery, strong fundamentals, and clear collaboration.

Job Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

• Design and build clean, testable Python services and APIs; optimize for reliability and performance. Build maintainable UIs using React and modern JavaScript/TypeScript. Integrate LLM APIs and/or agent frameworks into real workflows and user experiences. Develop cloud‑native systems using containers, microservices, and AWS (preferred).
• Work with PostgreSQL/Aurora: schema design, querying, and state/session management patterns. Write tests, debug issues, review code, and ship iteratively in a fast‑paced environment.

• 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.

• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Strong Python (clean architecture, testing, performance awareness), Solid React + modern JavaScript/TypeScript for functional, maintainable UIs. Cloud‑native development experience: containers + APIs/microservices + at least one major cloud (AWS preferred).
• Hands‑on experience building with LLMs and agentic AI (LLM APIs and/or frameworks such as Google ADK, LangGraph, or similar) production or real deployed work, not just prototypes.
• Working knowledge of relational databases (PostgreSQL/Aurora), including schema design and query patterns. Strong fundamentals: data structures, REST/APIs, Git, testing, debugging.
• 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.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with the Model Context Protocol (MCP) or building tools/plugins for AI agents.
• Experience with RAG, prompt engineering, evaluations, and/or production guardrails.
• Kubernetes/EKS, AWS Lambda, and infrastructure‑as‑code.
• Observability/tracing tooling (e.g., OpenTelemetry, Arize Phoenix).
• Experience in regulated/enterprise environments with security and governance requirements.