DevOps Manager
Leads a team of DevOps engineers building a modern, AI-enabled CI/CD platform at 360training. Day to day: owning pipelines and production releases on Azure/Kubernetes, embedding AI-assisted code review and risk scoring, observability, infrastructure as code, and incident response.
- Compensation
- Not disclosed
- Location
- Austin, TX
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Devops
- Posted
Skills
Must have
- 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 ability to work closely with development teams and leadership
Nice to have
- 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
- Certifications such as Microsoft Azure DevOps Engineer Expert or Certified Kubernetes Administrator
- Background in SaaS, e-learning, or e-commerce
Full description
360training
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 roleThis 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 WIDevOps**
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.
Key Responsibilities
- 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.