Lead Software Engineer - Databricks​/AWS

Salary: $61, per year

• We require formal training or certification in software or data engineering, along with 8+ years of relevant hands-on experience.
• We look for practical experience in system design, application development, testing, operational stability, and statistical data analysis, including selecting the right tools and identifying data patterns.
• We need advanced proficiency in one or more languages and frameworks such as Python 3, ETL, Spark, Snowflake, Databricks, SQL, No
  
  SQL, and Terraform-based infrastructure deployment.
• We value significant experience with data migration and platform migration projects, including planning, execution, and post-migration support.
• We expect strong knowledge of agile practices, including CI/CD, application resiliency, security, and the full software development life cycle.
• We require experience leading the effective use of approved AI-assisted software development tools, with the ability to set standards for validating AI output for correctness, performance, and security.
• We need a solid understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resilience and security expectations.
• We expect experience in API-driven development, particularly with FastAPI on AWS ECS, API Gateway integration, and APIs running on AWS Lambda.
• We require proficiency with deployment pipelines such as Git, Jule, Jenkins, and Spinnaker, plus strong skills in writing test scripts and using True CD for coding and testing.
• We value demonstrated proficiency in software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile.
• We look for practical cloud-native experience, including working knowledge of AWS services such as ECS, Lambda, and API Gateway.

• We design, develop, and troubleshoot creative software solutions, approaching technical problems in innovative ways.
• We build secure, high-quality production code in at least one programming language while maintaining efficient algorithms that integrate with related systems.
• We drive adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational results.
• We apply Software Development Life Cycle tools, including approved AI-assisted development and automation capabilities, to increase the value delivered through automation.
• We implement and manage data solutions in Snowflake, including data modeling, performance tuning, and secure data sharing.
• We develop workflows and ETL pipelines using Python, Databricks, and Spark to optimize large-scale data processing and transformation.
• We use SQL extensively, understand the role of No
  
  SQL databases, and apply Spark for distributed processing and analytics.
• We gather, analyze, and synthesize large and diverse data sets to create visualizations and reporting that support continuous improvement.
• We analyze data to identify issues and support decision-making for secure and stable application development.
• We lead projects independently, provide technical and architectural guidance to junior engineers, and help foster a culture of diversity, inclusion, and respect.

• AI
• API
• AWS
• Lambda
• CI/CD
• Cloud
• Databricks
• ETL
• FastAPI
• Git
• Support
• Jenkins
• Machine Learning
• Mobile
• No
  
  SQL
• Python
• SQL
• Security
• Snowflake
• Spark
• Terraform
• Network

We are JPMorgan Chase, one of the oldest financial institutions, delivering innovative financial solutions to millions of consumers, small businesses, and some of the worlds leading corporate, institutional, and government clients through the J.P. Morgan and Chase brands. With more than 200 years of history, we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.

We offer a competitive total rewards package with base salary determined by role, experience, skill set, and location, and eligible roles may also include commission or discretionary incentive compensation. Our benefits can include comprehensive health coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We are committed to diversity, inclusion, and equal opportunity, and we provide reasonable accommodations for religious practices as well as mental health or physical disability needs.

You will join our Corporate Technology team,…