Lead Software Engineer, Data Observability & Payments

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 157,000 - 215,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City, NJ, is seeking a Lead Software Engineer for Metrics and Payments Business Observability to join the Data Analytics and Payments Technology team. You will design, build, and scale data pipelines, observability, and production-grade services across multiple business functions.

The role emphasizes AI-assisted engineering practices, collaboration with analytics, product, and business stakeholders, and adherence to secure, resilient software delivery.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming languages: Python, Java and SQL.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting at scale.
• Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows with Spark, Airflow, Kafka, Flink.
• Develops data platform components including data cataloging, quality frameworks, governance, lineage.

Skills

Python

Java

SQL

Spark

Flink

Airflow

Kafka

REST API

GraphQL

Databricks

Tools

Terraform

Docker

Kubernetes

Tableau

Sigma

dbt

Job description

JPMorgan Chase & Co. in Jersey City, NJ, is seeking a Lead Software Engineer for Metrics and Payments Business Observability to join the Data Analytics and Payments Technology team. You will design, build, and scale data pipelines, observability, and production-grade services across multiple business functions.

The role emphasizes AI-assisted engineering practices, collaboration with analytics, product, and business stakeholders, and adherence to secure, resilient software delivery.