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 JPMorganChase within the Employee Platforms team, 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 technologiesWork with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applicationsImplement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughputImplement data quality checks and validation processes to ensure accuracy and reliability of dataDesign and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analyticsShare and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platformGather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityProficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced 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.) In-depth knowledge of the financial services industry and their IT systemsAdvanced proficiency in data processing frameworks and tools (Parquet, Iceberg, PySpark, Glue, Lambda, AWS, EMR, Athena, and Redshift)Proficiency in programming languages (7+ years) such as Python and Scala for data processing and application developmentExperience with scheduling tools (Autosys or Airflow) to automate and manage job scheduling for efficient workflow execution

 

 

Preferred qualifications, capabilities, and skills Proficiency in Relational Databases (Oracle or SQL Server)Skilled in writing Oracle SQL queries utilizing (DML, DDL and PL/SQL) AWS CertificationDatabricks knowledge