Software Engineer III - AI & Workflow Engineering Fullstack ReactJS, Java, Python, AWS

Position: 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..

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* 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/Type Script, 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  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 ), 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 React

JS, Java, JavaScript/Type Script, 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  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/Type Script, 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 Git Hub, Jenkins, Git Lab 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

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Experience with Databricks integration for cloud applications

+ Experience supporting or integrating SaaS platforms, particularly  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.

JPMorgan

Chase, one of the oldest…