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Maven AGI

AI-driven SaaS platform for enterprise support

DevOps Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBoston, MA, USAHybrid

About the Job

Requirements

  • At least 7 years of professional DevOps, site reliability engineering, or infrastructure experience.
  • At least 3 years of experience managing teams.
  • Deep expertise with Kubernetes in production, including AKS, EKS, or GKE.
  • Strong infrastructure-as-code skills with Pulumi, Terraform, or Bicep.
  • Experience operating CI/CD systems such as GitHub Actions, ArgoCD, or Jenkins.
  • Proficiency in at least one scripting or programming language: Python, Go, TypeScript, or Bash.
  • A solid understanding of IaaS providers, networking, DNS, load balancing, and TLS.
  • Experience with monitoring and observability stacks such as Datadog, Prometheus, or Grafana.
  • Experience with multi-cloud or hybrid cloud and on-premises deployments.
  • Strong communication and cross-team collaboration skills.
  • Organization, attention to detail, and comfort working in a ticketing environment.
  • Ability to thrive in a fast-paced startup environment.

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 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, Bicep, 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.
  • Work directly with enterprise customers to understand complex deployment requirements, particularly for private-cloud and on-premises environments, and coordinate stakeholders to deliver sustainable solutions.

Desired Qualifications

  • Experience with GPU infrastructure and machine-learning or large-language-model serving workloads, including vLLM or TEI.
  • Familiarity with Temporal or other workflow orchestration systems.
  • A security and compliance background, including SOC 2, HIPAA, or GDPR.
  • Experience managing infrastructure costs and capacity at scale.

About the Company

Maven AGI

AI-driven SaaS platform for enterprise support

Maven AGI provides an AI-powered customer support platform sold as a SaaS subscription for large enterprises. The system integrates with existing support tools and uses AI agents and large language models to predict ticket priority and route tasks to the most qualified agents, speeding responses. It targets Fortune 2000 companies with tiered AI features and ongoing updates to handle high-volume, complex support workflows. Its goal is to reduce costs while improving service quality and customer satisfaction.

Company size
51-200
Company stage
Series B
Total funding
$86M
Headquarters
Boston, MA
Founded
2023

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