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 & Investment Bank, 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:

• Work as a Data architect to design robust and scalable data products.
• Regularly provides technical guidance and direction to support the business and its technical teams.
• Develops solution designs and approaches to integrate with internal and external applications based on business needs.
• 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

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 15 years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• 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, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Hands-on experience with AWS S3, Glue, AWS Athena, EMR, Lambda, and Step-functions with API Gateway, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2, AWS Lake Formation
• Hands-on working experience with testing, releasing, and CI/CD pipeline deployments in AWS public cloud
• Hands-on working experience with Bitbucket, Terraform, Jenkins, Artifactory, DataDog, ServiceNow
• Experience with building RESTful web services, proficient in Python along
• Experience with database platforms like AuroraDB, DynamoDB, Snowflake would be an added advantage for this role
• Build Cloud Native applications from a domain driven design and micro-services architecture perspective supporting multiple API versions

Preferred qualifications, capabilities, and skills:

• Experience working at code level
• AWS solution architect certification 
• Prior experience with metadata management, data infrastructure.
• Experience with Big data (Spark), AWS Cloud or AI/ML experience