Role Description
We're looking for a DevOps Manager to lead the build-out of a modern, AI-enabled CI/CD platform. You'll implement the latest delivery practices, including:
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AI-assisted code review
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Automated risk assessment
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Intelligent deployment gates
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Real-time production verification
This is a chance to put cutting-edge DevOps and AI tooling into practice, with strong leadership support and the freedom to build it the right way.
Key Responsibilities
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Design, implement, and own a modern CI/CD platform used by all engineering teams.
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Integrate AI into the delivery pipeline, including:
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Automated code and security review
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Test generation
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Change risk scoring
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Release decisions
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Build security and QA directly into the pipeline, including:
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Automated testing
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Code quality checks
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Vulnerability scanning
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Compliance controls
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Own production deployments and change management, partnering with development teams on release readiness.
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Implement observability and automated post-deployment verification, with automatic rollback when releases misbehave.
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Build dashboards and metrics on:
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Deployment frequency
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Lead time
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Failure rate
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Recovery time
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AI adoption
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Manage, mentor, and grow a team of DevOps engineers, setting clear priorities and standards.
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Lead incident response, on-call, root-cause analysis, and patching processes.
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Drive infrastructure as code and simple, scalable cloud architecture.
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Partner with managed services providers and other vendors.
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Help development teams adopt AI coding and testing tools and modern delivery practices.
Qualifications
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7+ years of experience in DevOps, platform engineering, or site reliability engineering.
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2+ years managing or leading DevOps or engineering teams.
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Proven experience building or modernizing CI/CD pipelines, with measurable results.
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Hands-on experience applying AI or LLM-based tools to software delivery or operations.
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Strong expertise with modern CI/CD platforms such as GitHub Actions or Harness.
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Strong Azure experience, including:
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Containers
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Kubernetes (AKS) or Azure Container Apps
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Container registries
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Infrastructure as code with Terraform or Bicep.
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Experience with observability platforms such as Datadog, Honeycomb, or Grafana.
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Experience with incident management tools such as PagerDuty and Jira.
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DevSecOps experience, including:
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Code and dependency scanning
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Secrets management
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Access controls
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Experience integrating automated testing and QA into CI/CD pipelines.
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Strong communication skills and the ability to work closely with development teams and leadership.
Preferred Qualifications
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Experience with AI agents, agentic workflows, or MCP integrations in engineering processes.
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Experience rolling out AI coding assistants such as GitHub Copilot or Claude Code across engineering teams.
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Experience with engineering metrics platforms and DORA metrics.
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Experience with GitOps tools such as ArgoCD.
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Relevant certifications, such as Microsoft Azure DevOps Engineer Expert or Certified Kubernetes Administrator.
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Background in SaaS, e-learning, or e-commerce.
Benefits
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Competitive salary and annual bonus
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Flexible time off and company recognized holidays
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401k Pension Plan with company match contributions
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Short-Term and Long-Term Disability
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Life Insurance- Basic, Voluntary, and AD&D
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Healthcare- Medical, Dental, Vision, and MDLive
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Flexible spending & Health Savings Accounts (HSA)
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Employee Assistance Program (EAP)