Lead Software Engineer - Python/ Data

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City is looking for a Lead Software Engineer to join their Corporate Technology Financial Planning & Analysis team. This role requires you to enhance and deliver technology solutions, engage in agile practices, and drive development using advanced tools and methodologies.

The ideal candidate would have 5+ years of experience, strong knowledge in programming languages such as Java or Python, and familiarity with AWS and big data technologies. Join a team that values innovation and operational stability.

Qualifications

• 5+ years of hands-on experience in software engineering concepts.
• Advanced proficiency in multiple programming languages.
• Strong understanding of software development life cycle.

Responsibilities

• Executes creative software solutions and technical troubleshooting.
• Develops secure production code and reviews work of others.
• Drives adoption of AI-assisted engineering practices.

Skills

Software engineering concepts

Programming languages (Java, Python, Scala)

AWS platform knowledge

Big data technologies (Apache Spark)

AI-assisted software development tools

Education

Bachelor's degree in Finance, Technology, Data Science, or related field

Tools

Databricks

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

• A. Formal training or certification on software engineering concepts and 5+ years applied experience (NAMR/APAC – India/LATAM/Hong Kong)
  B. Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM‑Brazil)
  C. Singapore follow local country guidance

• 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.