Modal
Forward Deployed Engineer - Systems
About this role
Modal is seeking a Forward Deployed Engineer to collaborate directly with AI companies in designing and deploying large-scale production infrastructure on their platform. The role requires strong engineering skills and a customer-focused approach to solve complex technical challenges.
What you'll do
- Architect and deploy production workloads on Modal's platform
- Lead technical discussions with clients on cloud architecture
- Facilitate migration from existing cloud services to Modal's platform
- Work with product and sales teams to enhance platform features
- Build relationships with AI technical leaders
- Execute technical demonstrations and proof-of-concepts
What they're looking for
- 3+ years of software engineering experience
- Experience with cloud platforms (AWS, GCP, Azure)
- Knowledge of container orchestration (Docker, Kubernetes)
- Understanding of distributed systems and data pipelines
- Proficient in Infrastructure as Code tools (Terraform, Pulumi)
- Strong communication skills
- Customer-focused problem-solving mindset
- Willingness to work in-person in specified cities
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Modal
Modal builds a cloud platform for running large-scale AI workloads and infrastructure, enabling companies to deploy and optimize production machine learning systems. The company is hiring Forward Deployed Engineers to work directly with AI customers, Infrastructure Security Engineers to strengthen platform security, and Developer Relations Engineers to engage the developer community with technical content and best practices.
- Website
- modal.com
Likely interview questions
- Walk us through a complex cloud infrastructure migration you've led or contributed to. What were the biggest technical challenges, and how did you approach convincing stakeholders to move forward?
- Describe your experience with Kubernetes and container orchestration. How have you debugged or optimized containerized workloads in production?