Builds and maintains secure, scalable infrastructure for AI-powered agents, deploys ML workloads, manages cloud environments, IaC, CI/CD, and ensures observability and security on AWS/Azure/GCP/Kubernetes.
Salary not listed
On-siteDevOps / SRE
About the role
Responsibilities
Designing and maintaining secure, scalable infrastructure for AI-powered agents in production
Deploying and optimizing AI-heavy services with high availability and performance requirements
Managing infrastructure as code, cloud environments, and CI/CD pipelines
Implementing monitoring, observability, and alerting to ensure system reliability
Contributing to infrastructure security and best practices
Requirements
Experience deploying and productionizing ML or AI-heavy workloads
Expertise in building secure, scalable systems on platforms like AWS, Azure, or GCP
Deep knowledge of backend systems, networking, and container orchestration (e.g., Kubernetes)
Familiarity with infrastructure security principles and compliance (e.g., SOC2)
Mindset of an owner: proactive, hands-on, and driven to solve problems end-to-end
Compensation
Competitive compensation
Significant equity upside
Medical / dental / vision
Skills
AWSAzureGCPKubernetesInfrastructure As CodeCI/CDMonitoringObservabilityBackend SystemsNetworking
Software Engineer owning Forus' compute platform (EKS/Kubernetes), data layer (Postgres, OpenSearch, BigQuery), cloud cost optimization, reliability (SLOs, observability), and IaC primitives in a regulated healthcare environment. Requires production Kubernetes at scale, deep AWS/Terraform expertise, and database migration experience.
Salary not listed
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