Software Engineer III Frontend, 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.

• 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/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.
• 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 ), ensuring reliability, governance, observability, and secure usage.

• Formal training or certification on system design concepts and 3+ years applied experience.
• 5+ years' experience in Full stack ReactJS, Java, JavaScript/Type Script, 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  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 Git Hub, Jenkins, Git Lab CI.
• Experience implementing automation or AI assisted features within production software platforms or workflows.

• SCIM integration for Enterprise application access management.
• 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,…