Forward Deployed Engineer partners with AI companies to architect and deploy large-scale production workloads on Modal's serverless platform, leading technical discovery, migrations from AWS/GCP/Azure, and demos. Requires 3+ years software engineering with cloud, containers, and distributed systems expertise.
180k – 240k/yr
On-site3+ YOESolutions Architecture
About the role
Responsibilities
Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal's platform.
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.
Requirements
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.
Skills
AWSGCPAzureDockerKubernetesTerraformPulumiCloudFormationDistributed SystemsInfrastructure As Code
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