Staff Site Reliability Engineer

2 weeks ago

Seattle, Washington, United States Moloco Full time
About Moloco

Moloco is a cutting-edge machine learning company that empowers organizations to grow and unlock the full value of their unique first-party data. We're a leader in the advertising technology industry, recognized for our innovative approach to performance marketing and visionary product infrastructure.

Our Mission

We're on a mission to deliver durable value to our customers by providing a highly performant and scalable infrastructure for our mobile advertising platform. Our team is passionate about operational excellence and thrives in an environment where we can provide extremely high levels of customer support.

Job Summary

We're seeking an exceptional Staff Site Reliability Engineer to help us build a state-of-the-art ML model serving infrastructure for our mobile advertising platform. As a key member of our engineering team, you'll play a critical role in designing and implementing scalable and reliable infrastructure solutions that meet the needs of our customers.

Responsibilities
  • Design and implement scalable and reliable infrastructure solutions for our ML model serving infrastructure
  • Collaborate with cross-functional teams to identify and prioritize infrastructure needs
  • Develop and maintain infrastructure tools and platforms that improve the productivity of engineering teams
  • Contribute to technical direction and decisions across the organization
  • Participate in capacity planning and scaling
  • Ensure that Moloco is delivered in a highly performant manner that can handle viral traffic spikes
Requirements
  • Hands-on experience working with GCP or other cloud platforms
  • Practical, proven knowledge of a high-level language (e.g. Go, Python)
  • Experience working with infrastructure-related software (e.g. Kubernetes, Helm, Terraform, etc.)
  • Experience developing infrastructure, configuration and deployment scripting and automation for large scale / high complexity services in a microservices environment
  • At least 8 years of experience in large-scale software development

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