Data Engineer

Industry: Software
Company size: 51-250

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Job description

A U.S.-based company that is lowering the cost of AI data storage and access while protecting its privacy for enterprise is looking for a Data Engineer. The engineer will be in charge of creating infrastructure that analyzes and provides access to huge data. The company is improving the information's signal-to-noise ratio, making AI more widely available, more economical, and safer to employ. The company has managed to secure more than $44mn during their Series A round of funding. 


Job Responsibilities:

  • Design, deploy, and manage a robust data observability stack in AWS to ensure continuous data quality, reliability, and visibility
  • Implement and optimize tools such as Loki, Grafana, Tempo, and Mirmi to provide efficient logging, tracing, and monitoring solutions
  • Use Prometheus for effective system monitoring and alerting purposes
  • Employ ECS/Kubernetes orchestration for efficient container management
  • Develop, manage, and optimize Docker containers to support scalable and reliable data processes
  • Collaborate with other teams to understand data needs, ensuring the observability stack meets business requirements
  • Continuously research and stay updated with the latest technologies and best practices in data observability
  • Provide training and documentation to team members on observability tools and best practices

Job Requirements:

  • Minimum 4 years of professional experience in data observability or related fields
  • Proven experience in setting up and managing observability tools such as Loki, Grafana, Tempo, and Mirmi
  • Proficient knowledge of Prometheus for monitoring and alerting
  • Strong expertise in AWS infrastructure and services
  • Hands-on experience with ECS and Kubernetes for container orchestration
  • Deep understanding of Docker containerization and its best practices
  • Strong problem-solving skills, with an analytical mindset
  • Excellent communication skills, both written and verbal

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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