Related skills
azure aws python kubernetes gcp📋 Description
- Design, build, and deploy core components of our ML infrastructure platform on Kubernetes.
- Develop robust, scalable ML lifecycle services (data ingestion, processing, training, evaluation).
- Write high-quality, maintainable code for high-throughput systems handling petabytes of data.
- Own features/end-to-end from design through production deployment and operation.
🎯 Requirements
- 4+ years software engineering; BS or MS in CS or related field.
- Hands-on experience with Kubernetes (k8s) is required.
- Experience with high-scale infrastructure or distributed backend systems.
- Strong proficiency in Python, Go, or similar languages.
- Solid experience with AWS, GCP, or Azure.
- Ownership mindset and passion for high-quality software.
🎁 Benefits
- Salary: $149,000 - $198,500 USD.
- Benefits: medical, dental, vision, 401k with match, HSA, life, pet insurance.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!