Senior DevOps Engineer for AI Platform (Multi-Cloud)

Maven AGI, Inc.; Boston (MA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Equity stake

Diverse and welcoming environment

Job summary

Maven AGI, Inc. is seeking a Senior DevOps Engineer to own and evolve the infrastructure powering our AI platform.

You’ll design, build, and operate production systems across cloud providers, Kubernetes clusters, on-prem environments, and CI/CD pipelines to scale for enterprise deployments. You’ll partner with engineering to improve developer velocity, implement observability, manage secrets and security posture, and push reliability through SLOs and incident response.

Qualifications

• 3-7 years of professional DevOps/SRE/Infrastructure experience.
• Deep expertise with Kubernetes in production (AKS, EKS, or GKE).
• Strong infrastructure-as-code skills (Pulumi, Terraform, or Bicep).
• Experience operating CI/CD systems (GitHub Actions, ArgoCD, or Jenkins).
• Proficiency in at least one scripting/programming language (Python, Go, TypeScript, or Bash).
• Solid understanding of IaaS providers, networking, DNS, load balancing, and TLS.
• Experience with monitoring and observability stacks (Datadog, Prometheus, Grafana, or similar).
• Experience with multi-cloud or hybrid (cloud + on-prem) deployments.
• Strong communication and cross-team collaboration skills.
• Organized, great attention to detail, comfortable operating in a ticketing environment.
• Thrives in fast-paced startup environments.

Responsibilities

• Design, implement, and maintain both cloud and on-premise infrastructure (Azure, AWS, datacenter) using infrastructure-as-code (Pulumi, Bicep, Terraform)
• Own Kubernetes cluster operations: deployments, scaling, monitoring, and incident response
• Build and optimize CI/CD pipelines for a large-scale monorepo
• Implement observability across services (metrics, logging, tracing, alerting)
• Drive reliability practices: SLOs, capacity planning, disaster recovery, and runbook development
• Operationalize and scale enterprise AI deployments on-premise, including GPU resource orchestration, model inference performance tuning, and high-concurrency platform management.
• Collaborate with engineering teams to improve developer experience and deployment velocity
• Manage secrets, access controls, and infrastructure security posture
• Evaluate and adopt new tooling to reduce operational toil

Skills

Kubernetes

IaC

Pulumi

Terraform

Bicep

CI/CD

Scripting

Python

Go

TypeScript

Networking

Observability

Multi-cloud

Communication

Startup environment

Tools

GitHub Actions

ArgoCD

Jenkins

Job description

Maven AGI, Inc. is seeking a Senior DevOps Engineer to own and evolve the infrastructure powering our AI platform.

You’ll design, build, and operate production systems across cloud providers, Kubernetes clusters, on-prem environments, and CI/CD pipelines to scale for enterprise deployments. You’ll partner with engineering to improve developer velocity, implement observability, manage secrets and security posture, and push reliability through SLOs and incident response.