JPMorgan Chase

Senior Lead Software Engineer - Java, Spring Boot, Python, PySpark, Databricks, AWS

JPMorgan Chase
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25 days ago
Plano, TX, USAStaff+
H1B sponsor

Responsibilities

  • Design, develop, debug, troubleshoot, and maintain secure, high-quality software solutions and production algorithms.
  • Define architecture for complex deliverables and address technical problems across multiple technologies and applications.
  • Drive adoption and governance of AI-assisted engineering practices, including code review, refactoring, test creation, release readiness, and incident/root-cause analysis.
  • Establish validation standards for secure coding, peer review, automated testing, and AI-generated engineering outputs.
  • Lead AI and machine-learning delivery practices alongside software engineering best practices.
  • Analyze large and diverse datasets and create visualizations and reporting to improve software applications, coding hygiene, and system architecture.
  • Configure and optimize Spark clusters and create Databricks data pipelines and machine-learning model deployments.
  • Lead technologists in managing and resolving complex technical issues.

Requirements

  • Formal training and certification in software engineering concepts plus 5+ years of applied software engineering experience.
  • At least 2 years of experience leading technologists and managing complex technical work.
  • Hands-on experience with system design, application development, testing, operational stability, debugging, and maintenance in a large corporate environment.
  • Experience using enterprise-authorized AI-assisted software development tools and validating their outputs for correctness, performance, and security.
  • Knowledge of Python, PySpark, Java, SQL, Spark, machine-learning modeling, data pipelines, and large-scale data quality validation.
  • Experience configuring and optimizing Spark clusters and using AWS services including EMR, EC2, S3, and CloudWatch.
  • Working knowledge of Databricks for data pipelines and machine-learning model deployment.
  • Preferred experience with Spring Boot, high-volume and low-latency APIs, Pandas, NumPy, AWS certifications, Apache Airflow, and modern LLM techniques.

Benefits

  • Comprehensive healthcare coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
  • Eligible roles may include commission-based pay or discretionary incentive compensation and forfeitable equity; compensation details are provided during hiring.

Tech Stack

Apache AirflowApache SparkAWSDatabricksJavaNumPyPandasPythonSpring BootSQL

Categories

BackendData EngineeringML Engineering
JPMorgan Chase

About JPMorgan Chase

10,000+ employees

JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.

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