We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Employee Data Platform (Palmos) Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

 

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, equity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineer concepts and 5+ years applied experienceExperience in building data pipelines using Apache Spark, with proficiency in Scala, Python, utilizing platforms such as AWS EMR or DatabricksHands-on experience with IaC tools like TerraformKnowledge of open table formats such as Iceberg and Delta Lake, along with expertise in AWS Glue Data Catalog and fine-grained access control.Advanced in one or more programming language(s)  (Python, Java, etc.)Proficiency in automation and continuous delivery methodsAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Preferred qualifications, capabilities, and skillsExtensive hands-on experience with AWS Cloud services including S3, IAM, EMR, Glue, ECS/EKS, and Athena.Certifications in AWS, Databricks, and Terraform are highly desirable.1+ years of experience implementing data pipelines using Databricks, including tools such as Unity Catalog, Databricks Workflows, and Databricks Live Table, along with experience in data orchestration tools like Airflow.Proven experience in implementing Data Mesh Architecture.