Lead Software Engineer - IAM/AI Transformation Catalyst

Senior Lead Software Engineer

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 Senior 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.