Software Engineer III - Java/AWS

JPMorgan Chase & Co.

New York (NY)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III in New York to join an agile team delivering trusted technology products. You will design and implement secure, scalable software across multiple domains, using AI-assisted tooling to accelerate delivery with thorough validation and peer review.

Responsibilities include producing architecture artifacts, applying cloud-native patterns (AWS, Spring Boot, Kafka, SQS, ECS, Aurora Postgres), and driving data-driven improvements across systems.

Qualifications

  • Formal training or certification in software engineering concepts with 5+ years applied experience.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Experience coding in a large corporate environment with modern languages and database querying.
  • Experience building cloud-native applications in AWS using Spring Boot, Kafka, SQS, ECS and Aurora Postgres.
  • Experience using enterprise AI-assisted development tools with evaluation for correctness, performance and security.
  • Understanding of responsible AI use, data sensitivity, and secure handling of inputs/outputs.

Responsibilities

  • Executes software solutions, design, and troubleshooting across multiple areas with scalable impact.
  • Creates secure, high-quality production code and maintains critical algorithms.
  • Leverages AI coding tools to improve quality, speed, and productivity with peer review and testing.
  • Produces architecture and design artifacts for complex applications and ensures constraints are met.
  • Gathers, analyzes, and visualizes data to drive continuous improvement of software systems.
  • Identifies data patterns to improve coding hygiene and system architecture.
  • Operates within agile practices including CI/CD, resiliency, and security.

Skills

Agile methodologies
AWS
Spring Boot
Kafka
AI-assisted coding
Secure coding
Data analysis

Tools

Terraform
React
Kafka
SQS
ECS
Aurora Postgres

Job description

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 Banking in CCB, 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
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • 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.
  • 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
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 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
  • Experience in building cloud native application in AWS using Spring boot, Kafka, SQS, ECS and Aurora Postgres database
  • 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
  • Infrastructure as Code experience (Terraform preferred)
  • Experience with content delivery network, web application firewall, and edge security providers (for example, Cloud-flare or Akamai)
  • Familiarity with modern front-end development using React
  • Experience using AI-assisted coding and design tools in production environments with appropriate security and quality controls
  • Experience building in regulated environments and delivering to strong risk and security controls
  • Exposure in database tuning, database query optimization, performance tuning and partition management
  • Exposure in Technology lifecycle management and managing vulnerabilities
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