Senior DevOps Engineer

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 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)




• 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-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)




• Cost optimization experience at scale

How you show up:

What unites us is our values and the passion we share to live by them:

• We are customer champions. - You put users at the center of your thinking, advocate for their needs, and design solutions that make their lives measurably better.




• We are bold in action. - You move with urgency and courage. You’re not afraid to challenge convention, take smart risks, and push boundaries in pursuit of meaningful outcomes.




• We are data-driven and insight guided. - You make thoughtful decisions grounded in evidence. You’re curious, analytical, and combine data with intuition to guide strategy and execution.




• We are stronger together. - You bring others along, value diverse perspectives, and contribute to a culture of trust and shared ownership. You believe the best ideas emerge through open dialogue and collective effort.

What We Offer:

• High Impact in cutting-edge field: Be at the vanguard of AI innovation.




• Competitive salary, comprehensive benefits, and meaningful equity stakes.




• A diverse and welcoming work environment where everyone’s voice is heard.

MavenAGI is an equal opportunity employer that values diversity and is committed to fostering an environment where everyone feels included.

Join us in changing the face of enterprise customer support.