Forward Deployed Engineer - Systems
Modal Labs, Inc. operates Modal, a serverless cloud and AI infrastructure platform for developers running inference, training, batch processing, and isolated sandboxes.
Funding history
About Modal
Modal provides code-first, elastic CPU/GPU compute infrastructure for AI workloads, including model inference, fine-tuning and training, large-scale batch jobs, and secure ephemeral execution environments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will architect and deploy large-scale production workloads, lead customer discovery and architecture sessions, and create migration paths from cloud infrastructure. You will collaborate on product needs, build relationships with technical leaders, and conduct technical demos, experiments, and proof-of-concepts.
Requirements
- 3+ years of professional software engineering experience
- Cloud platform experience with AWS, GCP, or Azure
- Compute, storage, networking, and container orchestration experience
- Docker and Kubernetes knowledge
- Distributed systems architecture and data pipeline familiarity
- Infrastructure as Code knowledge including Terraform, Pulumi, or CloudFormation
- Systems architecture communication skills
- Interest in working directly with customers
- Willingness to work in person in New York City, San Francisco, or Stockholm
Responsibilities
- Architect and deploy large-scale production workloads
- Lead technical discovery and architecture sessions
- Architect migration paths from AWS, GCP, and Azure
- Collaborate with product and sales teams
- Build trusted relationships with technical leaders
- Conduct technical demos, experiments, and proof-of-concepts
Benefits
- Equity