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 Market Risk, 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, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Formal training or certification on system design concepts and proficient advanced experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s) - pythonProficiency 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 systemsPractical cloud native experienceProficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and RedshiftStrong experience of SQL based database systems, both SQL & NoSQL, and programming languages such as Python, Java, or Scala.

 

Preferred qualifications, capabilities, and skills

Experience of data architecture, data modeling, data warehousing, and data lakes