Software Engineer III - Python / AI

Socket.dev; New Jersey; On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III focusing on Python/AI to join the Commercial and Investment Bank technology teams. You will contribute as a seasoned engineer to design and deliver scalable, secure products across the technology stack, collaborating within an agile environment.

You will build UI dashboards with React/TypeScript and Python services, design data pipelines on Databricks and Snowflake, and drive responsible AI integration throughout the SDLC with rigorous validation

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Strong Python skills, including familiarity with agentic development practices.
• Experience with database design and data modeling on modern data platforms (Databricks, Snowflake).
• Hands-on experience using approved AI-assisted development tools to design and deliver end-to-end applications, with strong validation habits for correctness, performance, and security.
• Experience developing, debugging, and maintaining code in a large enterprise environment using one or more modern programming languages and database querying languages.
• Strong understanding of SDLC and agile delivery practices, including CI/CD, application resiliency, and security controls.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations.

Responsibilities

• Build and maintain UI dashboards using React/TypeScript and backend services in the Python stack.
• Design and deliver data pipelines/ETL on modern data platforms (e.g., Databricks, Snowflake).
• Execute software design, development, testing, and technical troubleshooting across the SDLC.
• Ensure large language models (LLMs) are used as controlled, well-understood components of the engineering lifecycle (enterprise-approved models).
• Lead structured requirements analysis using LLM-assisted workflows to translate business and regulatory needs into clear technical specifications.
• Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts.
• Ensure prompt strategies support determinism, reproducibility, traceability, and auditability in regulated environments.
• Ensure LLM-driven systems meet enterprise reliability, resilience, and security expectations.
• Coach teams on safe, compliant LLM/agent usage by documenting strengths, limitations, and risk profiles for different classes of engineering work.
• 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.

Skills

Python

Agentic development practices

SDLC & Agile

Secure coding practices

Tools

Databricks

Snowflake

AI assistants

CI/CD

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 - Python/ AI at JPMorganChase within the Commercial and Investment Bank , 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

• Build and maintain UI dashboards using React/TypeScript and backend services in the Python stack
• Design and deliver data pipelines/ETL on modern data platforms (e.g., Databricks, Snowflake)
• Execute software design, development, testing, and technical troubleshooting across the SDLC
• Ensure large language models (LLMs) are used as controlled, well-understood components of the engineering lifecycle (enterprise-approved models)
• Lead structured requirements analysis using LLM-assisted workflows to translate business and regulatory needs into clear technical specifications
• Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts
• Ensure prompt strategies support determinism, reproducibility, traceability, and auditability in regulated environments
• Ensure LLM-driven systems meet enterprise reliability, resilience, and security expectations
• Coach teams on safe, compliant LLM/agent usage by documenting strengths, limitations, and risk profiles for different classes of engineering work
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Strong Python skills, including familiarity with agentic development practices
• Experience with database design and data modeling on modern data platforms (e.g., Databricks, Snowflake)
• Hands-on experience using approved AI-assisted development tools (e.g., copilots/LLM coding assistants) to design and deliver end-to-end applications, with strong validation habits for correctness, performance, and security
• Experience developing, debugging, and maintaining code in a large enterprise environment using one or more modern programming languages and database querying languages
• Strong understanding of SDLC and agile delivery practices, including CI/CD, application resiliency, and security controls
• Strong understanding of responsible AI use in engineering workflows (data sensitivity, secure handling of inputs/outputs, resiliency/security expectations), including experience coaching engineers on compliant adoption
• 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

• Familiarity with modern front-end technologies
• Experience in Risk and Pnl in Markets
• Exposure to public cloud, with preference for AWS
• Knowledge of Financial Markets and Products (Fixed Income, Derivatives) and Treasury concepts)

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.