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 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.