United States onlySenior DevOps Engineer to manage and improve infrastructure and deployment process, ensuring scalability, security, and reliability, and lead the charge in building and scaling infrastructure for AI-driven features.
Requirements
- 5+ years of experience in a DevOps or infrastructure role.
- Expert knowledge of cloud platforms such as AWS, GCP, and Azure.
- Strong experience with containerization technologies (Docker, ECS / Kubernetes).
- Proven track record of designing and managing complex CI/CD pipelines.
- Experience with MLOps workflows (model versioning, retraining pipelines, or feature stores).
- Hands-on experience with monitoring and logging tools (Datadog, Prometheus, Grafana, MLflow).
- Expertise in scripting languages (Python is a must, along with Bash, Go, etc.).
- Proficiency with infrastructure automation tools (Terraform, Ansible, or CloudFormation).
- Excellent communication skills and the ability to bridge the gap between traditional DevOps and Data Science teams.
Benefits
- Competitive salaries
- Remote/hybrid environment
- Potential equity compensation for outstanding performance
- Flexible PTO
- Company-wide sponsored lunches
- Company paid disability and life insurance benefits
- Company paid family and medical leave
- Medical, dental, and vision insurance benefits
- Discounted pet insurance
- FSA/DCA and commuter benefits
- 401k
- Complimentary subscription to digital fitness classes and wellness content
- Recovery suite at HQ
