DevOps Engineering Manager - Scale AI Infra & Hybrid Cloud

Maven AGI, Inc.; Boston (MA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

HSA/FSA plans available

Unlimited vacation & parental leave

Free lunches & onsite gym

Home office stipend & continuing ed

Job summary

Maven AGI is seeking a DevOps Manager to steer the infrastructure behind its AI platform. You will manage a high-performing team, scale cloud and on-prem environments, and partner with engineering leaders to translate requirements into execution plans.

In this leadership role you will own reliability, security, and deployment velocity, while engaging with enterprise customers to meet private-cloud deployment needs.

Qualifications

• 7+ years of professional DevOps/SRE/Infrastructure experience.
• 3+ years of experience managing teams.
• 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). Experience managing infrastructure costs and capacity at scale.

Responsibilities

• Manage, coach, and develop a team of DevOps and infrastructure engineers.
• Establish clear expectations, ownership, and accountability across the team.
• Partner with technical leads to align technical strategy, architecture, and execution.
• Hire and onboard engineers as the team grows.
• Lead performance management, career development, and regular feedback.
• Own team planning, prioritization, capacity management, and delivery.
• Balance reliability, security, customer commitments, and long-term platform investments.
• Communicate infrastructure risks, trade-offs, and progress to technical and non-technical stakeholders.
• Build strong partnerships across Engineering, Product, Security, and Customer Success.
• Improve operational processes while avoiding unnecessary overhead and reducing team toil.
• Guide the design, implementation, and operation of cloud and on-premises infrastructure across Azure, AWS, and customer-managed environments.
• Oversee infrastructure-as-code practices using Pulumi, Terraform, or similar tools.
• Own the reliability and operation of production Kubernetes environments, including deployments, scaling, monitoring, and incident response.
• Drive the development and improvement of CI/CD pipelines for a large-scale monorepo.
• Establish consistent observability practices across metrics, logs, traces, and alerting.
• Advance reliability practices, including SLOs, capacity planning, disaster recovery, and runbook development.
• Support and scale enterprise AI deployments, including GPU infrastructure, model-serving workloads, and high-concurrency systems.
• Partner with engineering teams to improve developer experience, platform usability, and deployment velocity.
• Strengthen secrets management, access controls, and infrastructure security.
• Evaluate and adopt tools that improve reliability, scalability, and operational efficiency.
• Participate in incident response and ensure incidents lead to durable improvements.

Skills

DevOps

SRE

Infrastructure

Kubernetes

IaC

CI/CD

Scripting

Tools

Pulumi

Terraform

Bicep

GitHub Actions

ArgoCD

Jenkins

Datadog

Prometheus

Grafana

Job description

Maven AGI is seeking a DevOps Manager to steer the infrastructure behind its AI platform. You will manage a high-performing team, scale cloud and on-prem environments, and partner with engineering leaders to translate requirements into execution plans.

In this leadership role you will own reliability, security, and deployment velocity, while engaging with enterprise customers to meet private-cloud deployment needs.