What are the responsibilities and job description for the Software Engineer III - Java position at JPMorgan Chase?
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 Asset & Wealth Management - Franchise & Foundation team, 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 break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3 years applied experience
- Design and build full-stack solutions in partnership with Portfolio Management and Trading teams.
- Proficient with multiple technologies and frameworks—Java/Spring, React, JavaScript/TypeScript, SQL, or Kafka and hands-on with cloud platforms (internal or AWS) and eager to experiment with modern development stacks.
- Must have a solid grasp of the software development lifecycle, Agile methodologies, CI/CD, application resiliency, and security
- Apply and advance AI-driven development practices throughout the SDLC with from requirements gathering and design, through coding, testing, deployment, and monitoring and help create and enhance AI-powered features that drive smarter trading and greater user productivity.
- Deliver robust, high-performance code to cloud environments.
- Optimize algorithms and workflows to improve trading efficiency.
- Solve technical challenges with creativity and a practical mindset.
- Mentor and learn within a diverse, high-performing engineering team.
- Advocate for engineering best practices, code quality, and team success.
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Familiar with Aurora, Airflow, and Spark.
- Deploy to both public and private cloud environments.