DevOps Manager

• Design, implement, and own a modern CI/CD platform used by all engineering teams.
• Integrate AI into the delivery pipeline, including automated code and security review, test generation, change risk scoring, and release decisions.
• Build security and QA directly into the pipeline, including automated testing, code quality checks, vulnerability scanning, and compliance controls.
• Own production deployments and change management, partnering with development teams on release readiness.
• Implement observability and automated post-deployment verification, with automatic rollback when releases misbehave.
• Build dashboards and metrics on deployment frequency, lead time, failure rate, recovery time, and AI adoption.
• Manage, mentor, and grow a team of DevOps engineers, setting clear priorities and standards.
• Lead incident response, on-call, root-cause analysis, and patching processes.
• Drive infrastructure as code and simple, scalable cloud architecture.
• Partner with managed services providers and other vendors.
• Help development teams adopt AI coding and testing tools and modern delivery practices.

• 7+ years of experience in DevOps, platform engineering, or site reliability engineering.
• 2+ years managing or leading DevOps or engineering teams.
• Proven experience building or modernizing CI/CD pipelines, with measurable results.
• Hands-on experience applying AI or LLM-based tools to software delivery or operations.
• Strong expertise with modern CI/CD platforms such as GitHub Actions or Harness.
• Strong Azure experience, including containers, Kubernetes (AKS) or Azure Container Apps, and container registries.
• Infrastructure as code with Terraform or Bicep.
• Experience with observability platforms such as Datadog, Honeycomb, or Grafana.
• Experience with incident management tools such as PagerDuty and Jira.
• DevSecOps experience, including code and dependency scanning, secrets management, and access controls.
• Experience integrating automated testing and QA into CI/CD pipelines.
• Strong communication skills and the ability to work closely with development teams and leadership., * Experience with AI agents, agentic workflows, or MCP integrations in engineering processes.
• Experience rolling out AI coding assistants such as GitHub Copilot or Claude Code across engineering teams.
• Experience with engineering metrics platforms and DORA metrics.
• Experience with GitOps tools such as ArgoCD.
• Relevant certifications, such as Microsoft Azure DevOps Engineer Expert or Certified Kubernetes Administrator.
• Background in SaaS, e-learning, or e-commerce.

• Competitive salary and annual bonus
• Flexible time off and company recognized holidays
• 401k Pension Plan with company match contributions
• Short-Term and Long-Term Disability
• Life Insurance- Basic, Voluntary, and AD&D
• Healthcare- Medical, Dental, Vision, and MDLive
• Flexible spending & Health Savings Accounts (HSA)
• Employee Assistance Program (EAP)

At 360training, we’re more than an online training provider-we’re on a mission to empower people and organizations to thrive. As a fast-growing leader in online and live training across multiple industries, we deliver regulatory-approved training and certifications that power careers and businesses.

Our culture is grounded in two values: Deliver Results and Do the Right Thing. We operate as a collaborative, performance-driven organization where data plays a critical role in shaping strategy and outcomes. If you’re excited to turn analytics into impact and influence meaningful decisions, 360training is the place for you.

No Visa Sponsorship for this role

This is a remote position, and we are looking to hire in the following states AZ, FL, GA, NJ, PA, TN, TX, UT, ID, MI, MO and WI

DevOps 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 AI-assisted code review, automated risk assessment, intelligent deployment gates, and real-time production verification, while leading a team of DevOps engineers and owning production releases end to end.

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.