Responsibilities
- Design, implement, and maintain production-grade infrastructure across multiple cloud platforms including AWS, GCP, and Azure.
- Ensure environment consistency by managing infrastructure through code, with a preference for Terraform.
- Provision and manage Kubernetes clusters and run containerized applications across diverse cloud environments.
- Architect and oversee cloud networking components such as VPCs, VNets, peering connections, load balancing, and private networking solutions.
- Set up comprehensive observability systems including monitoring, log aggregation, alerting, and incident response workflows for multicloud deployments.
- Enhance system efficiency, availability, and cost-effectiveness using autoscaling strategies and capacity forecasting.
- Enable and support large-scale AI model training and inference operations in distributed cloud setups.
- Diagnose and resolve critical production issues involving compute, storage, networking, and Kubernetes subsystems.
- Partner with AI, backend, and platform engineering teams to ensure stable and scalable production systems.
Benefits
- Competitive compensation package with equity participation
- One-time sign-on bonus offered
- Comprehensive health, dental, and vision insurance coverage
- 401(k) retirement plan with company matching
Compensation
Competitive salary & equity options
Work Arrangement
Hybrid — Cambridge, MA
Other
- Relocation assistance is available for qualified candidates
- Remote work option provided for out-of-state applicants
- Start date is as soon as possible
- English language proficiency is required
