Sr Lead Software Engineer - Java

Job Description

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 Asset and Wealth management, 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. 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 vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect
• Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions.
• Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.
• Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
  
  

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• BE/B.Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field.
• Solid programming skills with Python/Java or other equivalent languages.
• Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
• Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB, Elastic.
• Cloud computing: AWS/GCP/Azure, Kubernetes
• Strong analytical and critical thinking skills.
• Self-motivation, great communication skills and team player.
• GenAI experience