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Salary
≈ $112k – $224k per year (Estimated)
Location
In office (New York)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Oct 7, 2026. The Infatuation scores A on the Alion truth index.

Overview
Company
Impact
Profile match
The Infatuation is a restaurant discovery and review publication headquartered in New York, publishing guides, ratings and recommendations on where to eat in cities across the US, the UK and beyond. Founded in 2009, it has been owned by JPMorgan Chase since 2021 and runs editorial teams in cities such as New York and London, with its content also tied to Chase dining benefits. Its own hiring centres on staff writers, editors, video and social producers, audience and partnerships staff, and product and engineering roles for its guides and app.

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 Business Access & Tools division, 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.

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
  • 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.
  • Design, develop, and maintain backend services, agentic workflows using TypeScript and APIs using Java, and Spring Boot
  • Implement micro-services architecture leveraging Spring Cloud for service discovery, configuration, and resilience
  • Containerize and deploy applications on AWS using services such as ECS, EKS, Lambda, or EC2.
  • Implement and maintain AWS infrastructure using Infrastructure as Code (IaC)
  • Implements reactive programming paradigms for high-performance systems
  • Apply 12-factor app principles and best practices for cloud-native development
  • Design and execute performance and load tests using JMeter or Blazemeter
  • 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

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Backend experience Java 21, SpringBoot, Spring Cloud
  • Front end experience with Typescript, JavaScript
  • Implement micro-services architecture leveraging Spring Cloud for service discovery, configuration, and resilience
  • Implement and maintain AWS infrastructure using Infrastructure as Code (IaC), Lambda. S3, Kafka
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • 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

  • Agent2UI, A2A protocol
  • Troubleshoot, debug, and resolve issues in multi-agent environments
  • Python
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