• Skills: AWS, GCP, Kubernetes, EKS, CI/CD, Machine Learning, Web security, Python, Go, C++, Airflow
• Experiences: Mid-level
• Employments: Full-time
• Benefits: Dental insurance, Equity compensation, Life insurance, Unlimited vacation, Vision insurance, 401(k), Paid parental leave

Description:

• Build and operate infrastructure for training, evaluating, deploying, and monitoring machine learning models.
• Develop pipelines, services, and integrations for data lakes, telemetry stores, and cloud compute.

Requirements:

• 3+ years in software, infrastructure, or data engineering with ML experience.
• Strong programming skills in Python; experience with Go, C++, or similar languages preferred.
• Experience with AWS, Infrastructure as Code, Kubernetes, and containerized environments.
• Ability to work across engineering disciplines and solve technical problems.
• U.S. Citizenship and ability to obtain a U.S. Government security clearance.

Benefits:

• 100% employer-paid health, dental, and vision insurance for employees and families.
• Life insurance (employer paid) and 401k program with matching.
• Unlimited PTO policy with a minimum of 2 weeks enforced.
• Equity package and work/home office stipend.
• 16 weeks paid parental leave and monthly health and wellness stipend.