Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology Chief Data and Analytics Office, you are an integral part of an agile team that works to enhance, build, and deliver our Data Lake, a unified platform for data ingestion, transformation, and storage, which is vital for training our AI systems and inference across numerous use cases. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

 

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives decisions that influence the product design, application functionality, and technical operations and processesServes as a function-wide subject matter expert in one or more areas of focusActively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life CycleInfluences peers and project decision-makers to consider the use and application of leading-edge technologiesAdds to the team culture of diversity, equity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and advanced applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in coding in Python and SQLHands on experience in data lake or data warehouse and related technologies (Spark, ETL & Databricks)Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Ability to tackle design and functionality problems independently with little to no oversightPractical cloud native experienceExperience in Computer Science, Computer Engineering, Mathematics, or a related technical field

 

 

Preferred qualifications, capabilities, and skills

Exposure to cloud technologies (AWS or GCP) via hands on experience or certification