Lead Software Engineer - IAM/AI Transformation Catalyst

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join the Corporate Sector Enterprise Technology team in an agile setting. You will design and deliver secure, scalable technology products supporting multiple business functions.

You will implement critical tech solutions across diverse areas, building architecture, data visualizations, and optimized pipelines while driving coding hygiene and system improvements.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Strong understanding of computer science fundamentals, algorithms, and data structures.
• Proficiency in Python, Java, RESTful APIs, and Microservices architectures.
• Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.
• Advanced SQL with experience composing complex queries; proficiency in data modeling for relational databases.
• Experience with relational databases like PostgreSQL and Oracle.
• Data warehousing design (dimensional models, SCD, ETL/ELT) and knowledge of Snowflake/Redshift.
• Cloud platform experience (AWS/GCP or Azure).
• Experience with Databricks and Spark for batch/streaming data processing.

Responsibilities

• Executes software solutions, design, development, and troubleshooting beyond routine approaches.
• Produces secure, high‑quality production code and maintains algorithms syncing with systems.
• Delivers architecture and design artifacts for complex applications while ensuring design constraints are met.
• Gathers and visualizes large data sets to improve software applications and systems.
• Identifies hidden data patterns to drive improvements in code and architecture.
• Contributes to engineering communities and explores new technologies.

Skills

Python

Java

REST APIs

Microservices

CI/CD

Jenkins

Git

Bitbucket

SQL

Data modeling

PostgreSQL

Oracle

Snowflake

Redshift

Cloud (AWS/GCP/Azure)

Databricks

Spark

Unity Catalog

Tools

Databricks

Spark

Unity Catalog

Job description

Be an integral part of an agile team that’s constantly pushing the envelope to enhance, build, and deliver top‑notch technology products.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector Enterprise Technology team, you will be an experienced member of an agile team. Your responsibilities include designing and delivering secure, stable, and scalable technology products. Additionally, you will implement critical technology solutions across multiple technical areas to support various business functions and help achieve 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 break down technical problems
• Creates secure and high‑quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• 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
• Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Strong understanding of computer science fundamentals, algorithms, and data structures.
• Strong knowledge and practical experience with Python, Java, RESTful APIs, and Microservices architectures.
• Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.
• Advanced SQL with experience composing complex queries; proficiency in data modeling for relational databases. Experience in procedures, packages, jobs , database performance tuning and optimization
• Proficiency in designing and implementing data models for relational databases.
• Experience with using relational database like Postgre and Oracle
• Data warehousing: Experience designing and implementing dimensional models (star/snowflake), SCD handling, and ETL/ELT pipelines, Familiarity with modern cloud data warehouses (e.g., Snowflake, Redshift).
• Experience working on Cloud platform (AWS/GCP or Azure).

Preferred qualifications, capabilities, and skills

• Experience in Java / Python along with any front technologies like React Js or Angular
• Experience in Identity and Access Management, preferably Privileged Access Management.
• Databricks and Spark:
  • Experience with Databricks (Delta Lake, notebooks, Unity Catalog) and Apache Spark (PySpark/Scala) for batch and streaming data processing.
  • Experience building lakehouse‑style data solutions and integrating with streaming platforms.
• Familiarity with CDC and data integration tools is a plus.
• Exposure to cloud services such as AWS S3, EC2, EKS, IAM, and Lambda.

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