Lead Software Engineer - Python/ Data

Aumni; Jersey City (NJ); On-site; USD 170,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City, NJ, is seeking a Lead Software Engineer within Corporate Technology for Financial Planning & Analysis.

You will be a core technical contributor on an agile team delivering trusted, scalable technology products with a focus on security and reliability. You will lead secure production code, guide AI-assisted engineering practices across the team, drive architectural reviews, and partner with vendors and internal groups to advance automation and operational

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced knowledge of Java, Python, or Scala and AWS.
• Extensive experience with big data technologies including Apache Spark.
• Demonstrated experience leading use of AI-assisted software development tools with focus on correctness, performance and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• In-depth knowledge of financial services IT systems.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine approaches.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of SDLC tools to improve automation and value of automation.
• Identifies opportunities to automate remediation of recurring issues to improve stability of software applications.
• Leads evaluation sessions with external vendors, startups, and internal teams on architectures and technical credentials.

Skills

Java

Python

Scala

Apache Spark

AWS

AI-assisted development tools

CI/CD

Security best practices

Agile methodologies

Education

Bachelor's degree in Computer Science or related field

Advanced degree preferred

Tools

Databricks

Docker

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within Corporate Technology in Financial Planning & Analysis team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems




• Develops secure and high-quality production code, and reviews and debugs code written by others




• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.




• 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.




• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems




• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience




• Hands-on practical experience delivering system design, application development, testing, and operational stability




• Advanced in one or more programming languages including Java, Python, or Scala.




• Good understanding of the AWS platform, including its core services, architecture best practices, and security features.




• Extensive experience with big data technologies, including Apache Spark, for large-scale data processing and analytics.




• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.




• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices




• Proficient in all aspects of the Software Development Life Cycle




• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security




• In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Exposure to Databricks




• Experience with data visualization and business intelligence platforms.




• Bachelor's degree in Finance, Technology, Data Science, or a related field; advanced degree preferred

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, design, and deliver secure, scalable tech solutions—driving innovation and excellence in a collaborative engineering team