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

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..

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
• 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.
• Partner with product and business teams to translate requirements into scalable Monday.com solutions and integrations.
• Implement operational best practices including logging, monitoring, alerting, and performance tuning to ensure high availability and reliability.
• Participate in production support and on-call rotations as required, driving improvements through post-incident reviews.
• Collaborate closely with Product, Design, QA, SRE, and Platform teams within an Agile/Scrum delivery model.
• Design and implement AI‑enabled capabilities and intelligent automations, such as summarization, classification, extraction, prioritization, and workflow assistance, to reduce manual effort and improve operational outcomes.
• Develop and integrate AI‑assisted workflows and automations within enterprise platforms (including Monday.com), ensuring reliability, governance, observability, and secure usage.
• Apply engineering best practices and controls to AI‑enabled solutions, including monitoring, auditability, and human‑in‑the‑loop review where required.

Required qualifications, capabilities, and skills:

• 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 practical experience in system design, application development, testing, and operational stability
• 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.
• Proficiency in modern programming languages (Java, JavaScript/TypeScript, Node.js, Python).
• Experience designing and building distributed systems, APIs, and microservices.
• Hands-on experience deploying and supporting applications in AWS cloud environments.
• Solid understanding of Agile practices, CI/CD, application resiliency, and security best practices.
• 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.

Preferred qualifications, capabilities, and skills

• 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.