15 days ago
Remote, WorldwideSenior
Base Salary
$180k - $225k/yr
Responsibilities
- Design, implement, and manage highly available infrastructure for cloud-based platforms.
- Architect and support AI/ML infrastructure, managing AWS Lambda and SageMaker environments.
- Create and automate deployment pipelines using CI/CD tools for web applications and machine learning models.
- Build, maintain, and scale containerized applications with Docker and ECS/Fargate.
- Implement MLOps best practices for model transitions from development to production.
- Ensure system scalability and reliability through proactive monitoring and automated alerting.
- Collaborate with Product Engineers and Data Scientists to optimize performance and costs.
- Manage and evolve Infrastructure as Code (IaC) footprint.
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 like Docker and Kubernetes.
- Proven track record of designing and managing complex CI/CD pipelines.
- Experience with MLOps workflows including model versioning and retraining pipelines.
- Hands-on experience with monitoring and logging tools like Datadog and Prometheus.
- Expertise in scripting languages, particularly Python.
- Proficiency with infrastructure automation tools such as Terraform or Ansible.
Benefits
- Competitive salaries.
- Remote/hybrid work 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 with cold plunge, sauna, and shower.