Senior DevOps Engineer
Senior DevOps Engineer to design, build, and operate scalable infrastructure for an enterprise AI platform, using Kubernetes, cloud providers, and CI/CD pipelines.
- Compensation
- $165K–$190K / yr
- Location
- Boston
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Devops
- Posted
Skills
Must have
- 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
Nice to have
- 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)
- Cost optimization experience at scale
Full 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, on-premises environments, and CI/CD pipelines, ensuring our platform scales reliably as we onboard enterprise customers with complex deployment and security requirements. This is a high-leverage role where your work directly impacts platform availability, developer velocity, and customer trust.
What you'll do:
- 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
What we're looking for:
- 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)