Software Engineer [Multiple Positions Available]

JPMorganChaseJersey City, WA
8h

About The Position

DESCRIPTION: Duties: Architect, develop, and maintain high-performance APIs with FastAPI for enterprise-scale video applications, ensuring efficient data processing, low-latency responses, and high availability across a multi-region cloud environment. Implement and optimize asynchronous workflows using FastAPI's async capabilities, ensuring seamless execution of long-running background tasks and real-time data streaming with WebSockets. Develop workflows integrating Al models via APIs into VideoCenter to generate video titles, summaries, descriptions, and tags, enhancing content organization and searchability. Manage and optimize Zoom and VideoCenter integrations, automating video content ingestion, metadata synchronization, and secure access control, while implementing notifications for timely updates to enhance collaboration and media sharing. Lead Digital Signage integration, developing API-driven workflows to synchronize content across locations and enable dynamic updates based on real-time data, enhancing communication and engagement across the firm. Design and provision cloud infrastructure with Terraform, automating the deployment of AWS Lambdas, relational and NoSQL databases, API Gateways, and ECS clusters to ensure consistent and scalable environments across multiple regions. Develop and maintain a firmware repository, leveraging AWS S3 for storage and Lambda containers for API development and managing firmware for 350,000 devices and supporting hardware teams with a reliable distribution pipeline across multiple regions. Develop and maintain a configuration drift monitoring system using AWS Lambda, CloudWatch, and SNS to detect unauthorized changes and notify the engineering team for remediation in production and staging environments. Develop multi-region failover strategies and automate deployments with CI/CD pipelines, ensuring continuous service availability, zero downtime, and rapid feature delivery through active-active config. QUALIFICATIONS: Minimum education and experience required: Master's degree in Artificial Intelligence, Data Science, Computer Science, Electrical Engineering, or related field of study plus 3 years of experience in the job offered or as Software Engineer, Infrastructure Developer, Software Developer, or related occupation. The employer will alternatively accept a Bachelor's degree in Artificial Intelligence, Data Science, Computer Science, Electrical Engineering, or related field of study plus 5 years of experience in the job offered or as Software Engineer, Infrastructure Developer, Software Developer, or related occupation. Skills Required: This position requires experience with the following: developing APIs using FastAPI for data processing and low- latency responses; utilizing Python type hints and Pydantic for robust data validation and serialization; implementing asynchronous workflows in FastAPI to manage concurrent requests to enhance application performance and scalability; utilizing FastAPI's dependency injection for effective component management to promote code reusability and maintainability; creating API documentation with Swagger UI for testing; implementing API security measures, including OAuth2 and JWT, to protect data and ensure compliance; establishing real-time data streaming with WebSockets for applications requiring live updates, including chat and dashboards design workflows for long-running tasks such as video transcoding to ensure execution without impacting application performance; architecting cloud solutions using AWS services including Lambda, Step Functions, S3 and ECS; automating cloud infrastructure deployment with Terraform for consistent environments across regions; deploying multi-region strategies to enhance service availability and resilience, supporting global operations; managing cloud environments to optimize performance and resource utilization through automated provisioning and configuration; integrating AI models, including advanced language models, into applications to automate content generation and improve user engagement; managing video and digital signage platforms to automate content workflows to enhance delivery and viewer interaction; designing monitoring frameworks with AWS CloudWatch and Grafana to track key performance metrics and ensure system reliability; and automating software deployments using CI/CD pipelines with Jenkins and Spinnaker to enable rapid feature delivery and zero downtime.

Requirements

  • Master's degree in Artificial Intelligence, Data Science, Computer Science, Electrical Engineering, or related field of study plus 3 years of experience in the job offered or as Software Engineer, Infrastructure Developer, Software Developer, or related occupation.
  • Alternatively, a Bachelor's degree in Artificial Intelligence, Data Science, Computer Science, Electrical Engineering, or related field of study plus 5 years of experience in the job offered or as Software Engineer, Infrastructure Developer, Software Developer, or related occupation.
  • Experience developing APIs using FastAPI for data processing and low- latency responses
  • Experience utilizing Python type hints and Pydantic for robust data validation and serialization
  • Experience implementing asynchronous workflows in FastAPI to manage concurrent requests to enhance application performance and scalability
  • Experience utilizing FastAPI's dependency injection for effective component management to promote code reusability and maintainability
  • Experience creating API documentation with Swagger UI for testing
  • Experience implementing API security measures, including OAuth2 and JWT, to protect data and ensure compliance
  • Experience establishing real-time data streaming with WebSockets for applications requiring live updates, including chat and dashboards design workflows for long-running tasks such as video transcoding to ensure execution without impacting application performance
  • Experience architecting cloud solutions using AWS services including Lambda, Step Functions, S3 and ECS
  • Experience automating cloud infrastructure deployment with Terraform for consistent environments across regions
  • Experience deploying multi-region strategies to enhance service availability and resilience, supporting global operations
  • Experience managing cloud environments to optimize performance and resource utilization through automated provisioning and configuration
  • Experience integrating AI models, including advanced language models, into applications to automate content generation and improve user engagement
  • Experience managing video and digital signage platforms to automate content workflows to enhance delivery and viewer interaction
  • Experience designing monitoring frameworks with AWS CloudWatch and Grafana to track key performance metrics and ensure system reliability
  • Experience automating software deployments using CI/CD pipelines with Jenkins and Spinnaker to enable rapid feature delivery and zero downtime

Responsibilities

  • Architect, develop, and maintain high-performance APIs with FastAPI for enterprise-scale video applications
  • Implement and optimize asynchronous workflows using FastAPI's async capabilities
  • Develop workflows integrating Al models via APIs into VideoCenter to generate video titles, summaries, descriptions, and tags
  • Manage and optimize Zoom and VideoCenter integrations, automating video content ingestion, metadata synchronization, and secure access control
  • Lead Digital Signage integration, developing API-driven workflows to synchronize content across locations and enable dynamic updates based on real-time data
  • Design and provision cloud infrastructure with Terraform, automating the deployment of AWS Lambdas, relational and NoSQL databases, API Gateways, and ECS clusters
  • Develop and maintain a firmware repository, leveraging AWS S3 for storage and Lambda containers for API development
  • Develop and maintain a configuration drift monitoring system using AWS Lambda, CloudWatch, and SNS
  • Develop multi-region failover strategies and automate deployments with CI/CD pipelines

Benefits

  • We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location.
  • For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions.
  • We also offer a range of benefits and programs to meet employee needs, based on eligibility.
  • These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
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