JP Morgan Chase

Runs a consumer bank and an investment bank

Software Engineer III - Python/AWS

Software EngineeringConfirmed live in the last 24 hours

Full-timeJersey City, NJ, USA$137.8k - $185k /yrIn-person

About the Job

Requirements

Formal training or certification on software engineering concepts and 3+ years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Proven hands-on experience in Python application development.
A solid understanding of software development best practices, including version control, testing, and continuous integration and continuous delivery.
Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders.
Familiarity with Machine Learning Operations.
Experience 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 artificial intelligence-assisted software development tools for coding, test creation, troubleshooting, or documentation, with the ability to critically evaluate, validate, and refine artificial intelligence-generated outputs for correctness, performance, and security.
An understanding of responsible artificial intelligence use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Responsibilities

Execute software solutions, design, development, and technical troubleshooting using approaches beyond routine or conventional methods to build solutions and break down technical problems.
Develop and maintain high-quality, secure applications using Python and Amazon Web Services.
Create architecture and design deliverables.
Integrate artificial intelligence and machine learning solutions into complex, domain-specific operations processing systems.
Participate in code reviews, design discussions, and agile planning sessions.
Collaborate with site reliability engineering and production monitoring teams to ensure system reliability and performance.
Contribute to software engineering communities of practice and technology events.
Use software development life cycle toolchain knowledge, including enterprise-authorized artificial intelligence-assisted development and automation capabilities, to improve the value realized by automation.
Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to support continuous improvement of software applications and systems.
Identify hidden problems and patterns in data and use these insights to improve coding hygiene and system architecture.

Desired Qualifications

Experience with cloud services, infrastructure as code, and containerized application development.
Familiarity with relational databases such as Postgres and Amazon Web Services services such as S3, EKS, SageMaker, and Bedrock.
Practical experience with Kubernetes, EKS, Docker, Kafka, Machine Learning Operations, and Large Language Model Operations.
Experience working on artificial intelligence and machine learning systems and/or collaborating with data scientists.

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 Applied AI/ML Software Engineering 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 breakdown technical problems
Develop and maintain high-quality, secure applications using Python and AWS
Create architecture and design deliverables
Integrate AIML solutions into complex, domain-specific operations processing systems
Participate in code reviews, design discussions, and agile planning sessions
Collaborate with SRE and production monitoring teams to ensure system reliability and performance
Contribute to software engineering communities of practice and technology events
Embrace continuous learning, creative problem-solving, and a can-do attitude
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.
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 3+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proven hands-on experience in Python application development
Solid understanding of software development best practices, including version control, testing, and CI/CD
Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders
Familiarity with Machine Learning Operations (MLOps)
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.

Preferred qualifications, capabilities, and skills

Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development
Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock
Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps)
Experience working on AIML systems and/or prior experience collaborating with data scientists

Base Pay/Salary: Jersey City,NJ $137,750.00-$185,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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