Lead Software Engineer - Front End/React/AIML

Aumni; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

On-site health and wellness centers

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorganChase is seeking a Lead Software Engineer to drive core Data capabilities within the AI/ML Data Platforms (AMDP) - Data Governance Engineering team. You will lead design, development, testing, deployment, and optimization of Java/Python services and data pipelines across a global team.

Strong, hands-on experience with Spring, Java, Python, AWS, and Databricks is required, along with a focus on data quality, security, and observability.

Qualifications

• 5+ years of software engineering experience with production systems.
• Proven ability to design, develop, test, and operate large-scale data apps.
• Experience with Spring, Java, Python and data pipelines.
• Knowledge of CI/CD, monitoring, and security best practices.

Responsibilities

• Executes end-to-end software delivery including design, development, testing, deployment, and technical troubleshooting for Java & Python based services, batch jobs, and data pipelines
• Has strong proficiency in data processing, APIs services, scripting, and automation using common libraries and frameworks relevant to the role. Attention to performance, reliability, and testing discipline
• Has familiarity with modern front-end technologies, especially in React.JS & Angular
• Produces design artifacts for complex workflows covering pipeline orchestration, processing logic, dependency and failure handling, as well as in service-level objectives
• Gathers, analyzes, and synthesizes data to produce reports, metrics, and visualizations that support business and operational insights
• Identifies hidden problems and patterns in data and pipeline execution — including data quality issues, drift, anomalies, and bottlenecks — to drive system improvements
• Works individually or as part of a distributed agile team to deliver projects on time with strong ownership and accountability. Flexibility to work with a global team and multiple time-zones
• Contribute to engineering communities, improve internal libraries and utilities, and evaluate emerging technologies where appropriate
• Leverages enterprise-authorized AI-assisted software development tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards
• Applies knowledge of tools within the Software Development Life Cycle toolchain, Agile methodology and automation capabilities, to improve delivery speed and the value realized by automation

Skills

Spring

Java

Python

Hibernate

Spark/PySpark

AWS

Databricks

SQL

Tools

React.JS

Angular

Git

CI/CD

Job description

Join AIML Data Platforms to help shape the future of AI/ML by building enterprise-scale data platforms that drive innovation across the firm.

As Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms (AMDP) - Data Governance Engineering team, you will spearhead the development and delivery of core Data capabilities as part of the AMDP platform that promote firm-wide innovation and excellence.

Job Responsibilities

• Executes end-to-end software delivery including design, development, testing, deployment, and technical troubleshooting for Java & Python based services, batch jobs, and data pipelines
• Has strong proficiency in data processing, APIs services, scripting, and automation using common libraries and frameworks relevant to the role. Attention to performance, reliability, and testing discipline
• Has familiarity with modern front-end technologies, especially in React.JS & Angular
• Produces design artifacts for complex workflows covering pipeline orchestration, processing logic, dependency and failure handling, as well as in service-level objectives
• Gathers, analyzes, and synthesizes data to produce reports, metrics, and visualizations that support business and operational insights
• Identifies hidden problems and patterns in data and pipeline execution — including data quality issues, drift, anomalies, and bottlenecks — to drive system improvements
• Works individually or as part of a distributed agile team to deliver projects on time with strong ownership and accountability. Flexibility to work with a global team and multiple time-zones
• Contribute to engineering communities, improve internal libraries and utilities, and evaluate emerging technologies where appropriate
• Leverages enterprise-authorized AI-assisted software development tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards
• Applies knowledge of tools within the Software Development Life Cycle toolchain, Agile methodology and automation capabilities, to improve delivery speed and the value realized by automation

Required qualifications, capabilities, and skills

• 5+ years of experience with formal training or certification on software engineering concepts.
• Hands-on experience in system design, application development, testing, and operational stability in production environments
• Full stack development experience with Spring, Java, Python, Hibernate, Spark/PySpark, AWS cloud technologies, and Databricks
• Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts
• Ability to learn other coding languages and technologies as needed, with enthusiasm for continuous growth in both technical aptitude and business understanding
• Knowledge across the data lifecycle including ingestion, validation, transformation, storage, governance and lineage considerations, and consumption patterns
• Ability to develop, debug, and maintain code in large enterprise environments with established controls and standards
• Familiarity with continuous integration and delivery, application resiliency, security best practices, and observability and monitoring
• Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations

Preferred qualifications, capabilities, and skills

• AWS Solutions Architect/Developer or advanced-level certification.
• Proficiency across the data management lifecycle.
• Skilled in resolving code issues and proficient in Git for managing repositories and team collaboration.

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

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Lead enterprise data governance capabilities that power AI/ML innovation at scale