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Senior Fullstack Software Engineer

Senior Fullstack Software Engineer

CompanyPlusAI
LocationSanta Clara, CA, USA
Salary$160000 – $200000
TypeFull-Time
DegreesMaster’s
Experience LevelSenior

Requirements

  • MS in Computer Science, Electrical Engineering, or related field
  • 3+ years of software engineering experience
  • Good oral and written communication skills
  • Expertise in Python, C++, microservices, databases, data pipelines
  • Experience with large volumes of sensor data processing
  • Extensive software design and development skills
  • Experience with AWS core technologies such as VPC, EC2, ASG, RDS, S3 and Lambda
  • Experience working with Docker, Kubernetes and Infrastructure as code such as Terraform or AWS CDK
  • Experience working with autonomous vehicles or robotics.

Responsibilities

  • Develop and deploy scalable web applications including front-end and back-end services.
  • Design and implement data analytics and reporting tools for R&D as well as business uses.
  • Design and implement high-performance, high-availability distributed data pipelines and services in cloud environments.
  • Build and maintain distributed systems that can handle large volumes of data in real-time.
  • Collaborate with cross-functional teams to define requirements and ensure that data is collected, stored, processed, and analyzed in a secure, efficient, and scalable manner.
  • Develop and maintain data quality checks and monitoring systems to ensure the accuracy and integrity of the data.
  • Continuously improve the performance, scalability, and reliability of our data infrastructure and applications.
  • Up the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing and monitoring.
  • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.

Preferred Qualifications

  • Experience with deep learning frameworks (e.g. TensorFlow, PyTorch).