Python Software Engineer III
Competitive
You'll complete your application on the employer's website.
Competitive
You'll complete your application on the employer's website.
Job type
Salary
Competitive
Location
Sector
Posted
19 days ago
JPMorganChase is a financial services institution seeking a Software Engineer III for its Corporate Technology team. The role designs, develops, troubleshoots, and maintains secure, scalable software solutions using Python, Java, React, cloud-native technologies, and AI-assisted development tools. The engineer also analyzes data, creates architecture artifacts, and contributes to agile engineering practices and team culture.
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
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
Adds to team culture of diversity, opportunity, inclusion, and respect
Preferred
Familiarity with modern front-end technologies- React.js
Exposure to cloud technologies- AWS
Front-End Technologies
React.js
Cloud Technologies
Benefits
Competitive total rewards package including base salary determined based on the role, experience, skill set and location
Commission-based pay for eligible roles
Discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, for eligible roles
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Global financial institution offering banking, asset management, and advisory services
New York, New York, USA
https://www.jpmorganchase.com/
Founded in 2000
10001+ employees
Qualifications
Formal training or certification on software engineering concepts and 3+ years applied experience
Proficient in coding in Python, Java, and React
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Experience with containerization technologies (Docker, Kubernetes) and container orchestration in production environments
Exposure to cloud-native development and AWS services, particularly AWS EKS (Elastic Kubernetes Service) for deploying and managing containerized applications
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
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
Familiarity with AI-assisted development tools and agentic coding workflows (e.g., GitHub Copilot, Amazon CodeWhisperer) and understanding of GenAI fundamentals for developer productivity
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Familiarity with modern front-end technologies- React.js
Exposure to cloud technologies- AWS
Required skills
Python, Java, React, Docker, Kubernetes, AWS EKS, CI/CD, Application Resiliency, Secure Coding, GitHub Copilot, Amazon CodeWhisperer, Generative AI
Preferred skills
Familiarity with modern front-end technologies- React.js, Exposure to cloud technologies- AWS
Experience
3+ years
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