Senior DevOps Engineer
Role details
Job location
Tech stack
Job description
Maven AGI is an enterprise AI platform founded in July 2023 by executives from HubSpot, Google, and Stripe. We build conversational AI agents for autonomous customer support at scale. Our platform unifies fragmented systems, integrates knowledge sources, and enables intelligent actions without costly infrastructure changes. Our team includes talent from Google, Meta, Amazon, Microsoft, and Stripe, with advisors from OpenAI, Google, HubSpot, and Stripe. The Role We're looking for a Senior DevOps Engineer to own and evolve the infrastructure powering Maven AGI's AI platform. You'll design, build, and operate production systems across cloud providers, Kubernetes clusters, and CI/CD pipelines -- ensuring our platform scales reliably as we onboard enterprise customers. This is a high-leverage role where your work directly impacts platform availability, developer velocity, and customer trust., Design, implement, and maintain cloud infrastructure (Azure, AWS) 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 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
Requirements
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) Strong communication and cross-team collaboration skills Organized, great attention to detail, comfortable operating in a ticketing environment Thrives in fast-paced startup environments Nice-to-Haves Experience with GPU infrastructure and ML/LLM serving workloads (vLLM, TEI) Familiarity with Temporal or other workflow orchestration systems Security and compliance background (SOC 2, HIPAA, GDPR) Experience with multi-cloud or hybrid (cloud + on-prem) deployments Cost optimization experience at scale
Benefits & conditions
Meaningful equity stakes Performance bonus Comprehensive benefits package High impact in cutting-edge AI field Diverse and welcoming work environment Our Values Do right for customers -- customer trust is earned through reliability Data-driven -- we measure before we change, and we alert before customers notice Entrepreneurial -- own the problem end-to-end Strive to be better, together -- continuous improvement through collaboration Compensation Range: $165K - $190K