WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE:

We are looking for a seasoned Senior DevOps Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey-level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI-driven tooling, and modern cloud operations, partnering closely with development and TechOps teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities:

• Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
• Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
• Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
• Integrate AI and large language model (LLM) capabilities into DevOps tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context-aware pipeline tooling.
• Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
• Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
• Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
• Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
• Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.

Qualifications:

• 5+ years of related DevOps/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
• Deep, hands-on expertise with Terraform for infrastructure as code — this is a must-have.
• Hands-on, production-level experience building and deploying AI/LLM-integrated systems — this is a must-have. You have worked directly with large language model APIs, designed AI-assisted workflows, and shipped real tooling powered by LLMs in an engineering or DevOps context.
• Hands-on, production-level experience with Model Context Protocol (MCP) — this is a must-have. You have implemented MCP-based integrations to build intelligent, context-aware developer tools, automation pipelines, or agent workflows, not just read about it.
• Strong command of CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar).
• Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
• Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
• Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high-quality solutions with minimal supervision.

Preferred:

• Experience with Kubernetes, Helm, or container orchestration platforms.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux).
• Scripting proficiency in Python, Bash, or Go.
• Knowledge of observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry).
• Experience building internal developer platforms (IDPs).

US Pay Range:

The US National annual base salary range for this full-time position is $131,500-$154,700 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

Overview:
Nerdy is looking for an IT Operations Specialist to join our team, based in St. Louis, Missouri! The IT Operations Specialist will work out of our corporate office in St. Louis, Missouri, and will own and enhance core IT & Security operational domains, including user and device lifecycle management, SaaS administration, and end-user support. This role blends hands-on technical execution with process ownership, cross-functional collaboration, and automation-driven improvements to ensure scalable, secure, and efficient operations.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.

• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.

• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.

• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.

• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and how you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.

• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.

• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at nerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter
• Q3-2025 Shareholder Letter
• Q2-2025 Shareholder Letter

Qualifications:

• 4+ years in IT operations or systems administration
• Experience administering SaaS and device management tools (e.g., Google Workspace, Okta, Mosyle)
• Strong macOS knowledge and Bash/Python scripting skills
• Familiar with endpoint compliance and security best practices
• Data-driven with experience tracking SLAs and operational metrics
• Strong communicator and mentor for junior team members
• Experience using AI-native productivity and automation tools

Responsibilities:

• Own user/device lifecycle, SaaS admin, and support operations
• Lead onboarding, offboarding, and role-change processes with HR and partners
• Improve cross-functional workflows and document handoffs
• Mentor junior staff and handle high-impact escalations
• Track SLAs, backlog, CSAT; run root-cause analyses
• Prototype and implement automation-first improvements
• Administer core SaaS tools with security and audit focus
• Translate engineering rollouts into operational runbooks
• Maintain macOS endpoint compliance, MDM, and patching
• Contribute to incident response as needed

Unleash Your Potential at Nerdy:

At Nerdy, you'll earn your success through meritocracy and exceptional outcomes. Our benefits reward performance and initiative:

• Competitive Compensation & Advancement: Market-leading compensation paired with clear promotion pathways.
• Retirement Made Simple: 401(k) plan with company match and immediate vesting. 
• Flexible Time Off: Recharge on your terms, ensuring maximum productivity.
• Continuous Learning: Access an all-inclusive learning membership for you and your household, including 1:1 tutoring hours, unlimited on-demand classes, and our full suite of learning products and services.
• Supercharge with AI: Leverage cutting-edge AI tools to accelerate your workflow.
• You’re Covered: Medical, dental, vision, life, STD & LTD plans plus strong maternity, paternity, and adoption leaves - numerous options for you and your family.

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.