Software Engineer III – AI & Intelligent Workflow Engineering (Monday.com, Fullstack ReactJS, Java, Python, AWS)

JPMorgan Chase & Co.•Plano, TX

About The Position

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 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 are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives, including AI‑enabled and intelligent automation capabilities that improve efficiency, reliability, and decision‑making.

Requirements

Formal training or certification on system design concepts and 3+ years applied experience
5+ years' experience in Full stack ReactJS, Java, JavaScript/TypeScript, Node.js, Python and AWS
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.
Experience supporting or integrating SaaS platforms, particularly Monday.com or similar workflow/project management tools.
Strong understanding of the Software Development Life Cycle (SDLC), including design, development, testing, deployment, and support.
Proven experience in full-stack development, covering both front-end and back-end systems.
Experience designing and building distributed systems, APIs, and microservices.
Hands-on experience deploying and supporting applications in AWS cloud environments.
Build, enhance, and maintain CI/CD pipelines using tools such as GitHub, Jenkins, GitLab CI.
Experience implementing automation or AI assisted features within production software platforms or workflows.

Nice To Haves

SCIM integration for Enterprise application access management
Experience with Databricks integration for cloud applications
Experience supporting or integrating SaaS platforms, particularly Monday.com or similar workflow/project management tools.
Experience with observability tools (logging, metrics, tracing) and production engineering practices.
Exposure to low-code/no-code platforms and enterprise workflow automation.
Experience working in large-scale or regulated enterprise environments.
Deploy, manage, and operate applications in AWS, leveraging services such as ECS, Lambda, S3, RDS, API Gateway, and container platforms.
Familiarity with AI enabled workflow features, intelligent automation, or GenAI assisted capabilities in enterprise environments.

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
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.
Design, develop, and maintain secure, high‑quality production code using modern programming languages (Java, JavaScript/TypeScript, Node.js, Python), following SDLC and enterprise engineering standards.
Build and maintain microservices and API-driven architectures, developing and integrating RESTful APIs, and supporting event-driven or real-time use cases where appropriate.
Produce and review architecture and design artifacts for complex systems, ensuring alignment with enterprise standards and non-functional requirements (security, performance, resiliency, scalability).
Write clean, maintainable, well-documented, and testable production code; actively participate in code reviews and promote engineering best practices.
Lead troubleshooting and root-cause analysis for complex technical issues across development, test, and production environments.
Support platform stability through proactive monitoring, issue resolution, and continuous optimization.
Implement operational best practices including logging, monitoring, alerting, and performance tuning to ensure high availability and reliability.
Develop and integrate AI‑assisted workflows and automations within enterprise platforms (including Monday.com), ensuring reliability, governance, observability, and secure usage.