Lead Software Engineer - AWS, Java/Python, Spark, Databricks

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Lead Software Engineer Opportunity at JPMorgan Chase

Unlock an exciting career and embark on a challenging adventure where you can push the boundaries of technology. Join us as a Lead Software Engineer within the Data Platform Engineering - Corporate Technology team at JPMorgan Chase.

Position Overview

As a Lead Software Engineer, you will be a pivotal member of an agile team, enhancing, building, and delivering market-leading technology products securely, stably, and scalably. As a key technical contributor, you'll work on crucial technology solutions across multiple technical domains, supporting the firm’s business goals.

Job Responsibilities

Your primary responsibilities will include:

  • Executing innovative software solutions, design, development, and technical troubleshooting while thinking beyond conventional approaches.
  • Developing secure, high-quality production code and reviewing and debugging code written by others.
  • Identifying opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability.
  • Leading evaluation sessions with external vendors, startups, and internal teams to drive effective architectural designs.
  • Driving the implementation and adoption of new and leading-edge technologies across Software Engineering communities.
  • Contributing to a team culture of diversity, equity, inclusion, and respect.

Required Qualifications, Capabilities, and Skills

To succeed in this role, you will need:

  • Formal training or certification in software engineering concepts with 5+ years of development experience in a big data environment.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Advanced expertise in object-oriented programming languages such as Scala, Java, or Python.
  • Proficiency in building real-time streaming applications using Apache Spark Streaming, Apache Kafka, Amazon Kinesis, etc., for large-scale data processing.
  • Experience with open-source frameworks/libraries like Apache Airflow.
  • Strong skills in application, data, and infrastructure architecture disciplines.
  • Expertise in cloud-native architecture, design, and implementation across all systems.
  • Competence in Event Driven Architecture and Application Containerization.
  • Experience building applications on Public Cloud platforms (AWS, GCP, Azure), with a preference for AWS.
  • Proficiency in utilizing emerging cloud serverless managed services to reduce physical/virtual server footprint.
  • Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security.

Preferred Qualifications, Capabilities, and Skills

Additional qualifications include:

  • Proficiency in designing and developing data pipelines using Databricks Lakehouse.
  • Experience re-engineering and migrating on-premises data solutions to and for the public cloud.
  • Ability to implement security solutions for data storage and processing in the public cloud.
  • Understanding of traditional big data systems like Hadoop, Impala, Sqoop, Oozie, Cassandra, Hive, and HBase.

About JPMorgan Chase & Co.

JPMorgan Chase & Co., one of the oldest financial institutions, provides innovative financial solutions to millions of consumers, small businesses, and prominent clients globally. With a history spanning over 200 years, we lead in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. We value diversity, inclusion, and equality, recognizing that the diverse talents of our global workforce drive our success. As an equal opportunity employer, we do not discriminate based on protected attributes and provide reasonable accommodations for applicants and employees with religious or disability needs.

For more information about requesting accommodations, visit our .

Company Name: JPMorgan Chase & Co.
Job Title: Lead Software Engineer - AWS, Java/Python, Spark, Databricks