Forward Deployed Engineer - Systems
New York, San Francisco$180k - $240kFull-timePosted 11mo ago
About the role
Forward Deployed Engineer pairing deep infrastructure work with direct customer impact. Architect and deploy production workloads, migrate customers from cloud providers to Modal, and engage with customers and sales to showcase Modal’s infrastructure advantages.
Responsibilities
- Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal
- Lead technical discovery and architecture sessions with prospective and existing customers
- Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform
- Collaborate with Modal's product and sales teams, contributing to the platform as both an engineer and a product stakeholder
- Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work
- Conduct technical demos, experiments, and proof-of-concepts that make Modal's infrastructure advantages tangible
Qualifications
- 3+ years of professional software engineering experience
- Hands-on experience with cloud platforms (AWS, GCP, Azure) — compute, storage, networking, and container orchestration (Docker, Kubernetes)
- Familiarity with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation)
- Strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership
- Genuine interest in working directly with customers — you find it energizing to understand someone else's problem and help them solve it
- Bonus: experience leading large-scale migration efforts, open-source contributions, or side projects you're proud of
- Willing to work in-person in New York City, San Francisco, or Stockholm
Skills
Required:Software engineeringCloud platformsDistributed systemsInfrastructure as Code
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Modal
High-performance AI infrastructure
Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams.
AI infrastructureBatchGPU scalingInferenceML workloadNotebooksObservabilityPlatform
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