Lead Software Engineer [Multiple Positions Available]
JPMorgan Chase7 hours ago
Responsibilities
- Develop and maintain data storage and processing solutions using data lakes, distributed databases, and cloud and on-premises technologies.
- Build applications and automated ETL pipelines for data ingestion, transformation, retrieval, reliability, and performance.
- Create batch and real-time data processing solutions using Apache Spark and Flink for analytics and machine learning.
- Design, train, deploy, validate, and monitor supervised, unsupervised, reinforcement learning, deep learning, and AI models.
- Develop fraud detection and risk mitigation models using feature engineering, entity resolution, real-time scoring, and fraud pattern analysis.
- Architect and deploy scalable AWS data processing workflows and cloud-native solutions with security, high availability, and cost optimization.
- Use Terraform to automate provisioning and management of cloud infrastructure and deploy serverless applications with AWS Lambda.
- Maintain data models, data lakes, data warehouses, analytics solutions, query performance, data validation, cleansing, governance, and security practices.
- Support enterprise reporting, business intelligence, regulatory compliance, and decision-support requirements.
Requirements
- Bachelor's degree in Electrical Engineering, Electronic Engineering, Computer Engineering, Computer Information Systems, or a related field.
- At least 7 years of experience in the job offered or as a Lead Software Engineer, Software Engineer/Developer, Programmer Analyst, Technical Lead, or related occupation.
- Experience designing and optimizing machine learning algorithms and AI solutions using Python.
- Experience with data preprocessing, feature engineering, model selection, hyperparameter tuning, model evaluation, and continuous improvement.
- Experience developing end-to-end ML pipelines from data ingestion through deployment and monitoring.
- Experience with AWS Glue, AWS Athena, Step Functions, S3, and Elastic MapReduce for ETL, orchestration, storage, and distributed analytics.
- Experience with cloud data warehousing, data modeling, data lakes, business intelligence, data governance, and query optimization.
- Experience authoring Terraform scripts for infrastructure provisioning, repeatability, and compliance.
- Experience developing serverless applications with AWS Lambda and event-driven processing.
- Experience applying deep learning techniques with TensorFlow, PyTorch, Keras, or Scikit-learn.
- Experience developing fraud detection models and translating business requirements into ML solutions.
Benefits
- Full-time position located at 10410 Highland Manor Dr, Tampa, FL 33610.
- Competitive total rewards package with base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay or discretionary incentive compensation in cash or forfeitable equity.
- Benefits may include health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
Tech Stack
Categories
Data EngineeringML Engineering
About JPMorgan Chase
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.