Senior DevOps Engineer
To enhance our team we are seeking an experienced Senior DevOps Engineer who thrives at the intersection of engineering and security. In this role, you’ll own the security posture of a platform used by millions, partnering closely with developers to build secure systems from the ground up.
Position Summary:
In this role, you will have the opportunity to do meaningful work in your career, elevating your craft while contributing to a team that values lifelong learning.
As a Senior DevOps Engineer, you are a critical driver of the platform that powers video knowledge management for global universities and businesses. Operating as a senior individual contributor, you will design, automate, and operate scalable AWS cloud infrastructure supporting high application reliability, security, and performance. You will bridge the gap between high-velocity engineering and compliance standards (SOC 2, ISO 27001), ensuring our infrastructure posture is pragmatic, scalable, and built on Clarity over Complexity.
Driving an AI-first mindset, you will leverage modern automation alongside AI-assisted engineering practices (such as GitHub Copilot or Amazon Q) and predictive observability tools (AIOps) to eliminate operational toil, accelerate deployment pipelines, and simplify complex architectures.
You'll also have opportunities to contribute to other initiatives that directly advance our core values and support you in elevating your craft.
How You’ll Contribute:
In this role, you will have the opportunity to…
Build & Scale Cloud Infrastructure: Design and operate resilient AWS environments using Infrastructure as Code (IaC) tools like Terraform, CDK, or AWS CloudFormation.
Optimize CI/CD Pipelines: Engineer and maintain secure automated pipelines using GitHub Actions that test, package, and deploy software changes quickly and reliably.
Drive AI Integration: Incorporate AI coding assistants and automation tooling into infrastructure workflows to accelerate pipeline creation, infrastructure-as-code, scripting, and technical documentation.
Orchestrate Containers: Manage production container platforms using Docker and ECS/Fargate to ensure application scalability and uptime.
Enable Smart Observability: Implement AI-driven monitoring and anomaly detection systems (AIOps) using CloudWatch to catch and remediate issues before they affect users.
Embed DevSecOps: Implement cloud security practices (IAM, data encryption) and maintain audit readiness for SOC 2 and ISO 27001 frameworks.
Eliminate Operational Toil: Write clean, maintainable automation scripts in Python or Bash to streamline production management and reduce manual overhead.
Collaborate Cross-Functionally: Partner with software developers and architects to enhance cloud readiness, production troubleshooting, and support infrastructure needs for machine learning and AI workloads.
What Success Looks Like:
Within 3 Months: Familiarize yourself with Panopto’s AWS architecture and CI/CD pipelines; complete initial pipeline enhancements and take part in on-call rotations.
Within 6 Months: Lead the implementation of updated IaC modules and incorporate AI-assisted developer workflows.
Within 1 Year: Serve as a subject matter expert on automation and reliability; design self-healing infrastructure patterns (AIOps) that reduce incident response times and support evolving AI workloads.
Your Legacy: Build a self-service, resilient, AI-augmented cloud infrastructure that allows engineering teams to ship features safely and effortlessly at scale.
Values in Action
Customer First, Always: You proactively surface friction points in the customer experience before they are escalated - and propose solutions, not just reports.
Thrive Together: You share work-in-progress for early feedback, knowing that challenge improves the outcome. You separate critiques of ideas from critiques of people.
Elevate the Craft: You hold the bar high on your own work and invest in developing those around you. You treat every project as an opportunity to learn something new.
Act with Ownership: You define success by outcomes, not activity. You flag problems early and bring a proposed path forward, not just the problem.
Clarity Over Complexity: You default to the simpler solution. Your written communication - internal or external - is direct, specific, and free of filler.
How We Thrive:
You’ll work with a team of talented engineers with a variety of areas of expertise, from devops to design, architecture to accessibility. The team’s experience level ranges from seasoned developers with well over a decade in industry to junior developers and contractors who are growing their roles and impact.
The Foundation for Success:
Experience: 7+ years of hands-on experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering supporting SaaS production environments.
Technical Leadership: A track record of leading large-scale infrastructure projects - cloud migrations, platform re-architectures, major CI/CD overhauls - including the planning, staging, and stakeholder work that makes them land without breaking production.
AWS Mastery: Deep expertise with core AWS services, including EC2, S3, RDS, VPC, IAM, ECS/EKS, and Lambda.
Infrastructure as Code: Demonstrated experience defining production infrastructure using Terraform, CDK, or CloudFormation.
Containers & Orchestration: Proven experience administering production ECS, Fargate, or Kubernetes (Amazon EKS) and Docker container ecosystems.
Software & Scripting: Strong coding or scripting skills in Python and Bash.
AI Tooling: Hands-on experience integrating AI assistants (e.g., Claude) or automated tooling into daily workflows to increase productivity.
Security & Compliance: Practical understanding of cloud security fundamentals (IAM, encryption) and supporting audit frameworks like SOC 2 or ISO 27001.
What Sets You Apart:
AWS Certified DevOps Engineer - Professional or Certified Kubernetes Administrator (CKA).
Experience provisioning or optimizing cloud infrastructure for AI/ML workloads (e.g., GPU node management on EKS or vector databases).
Advanced experience with enterprise observability platforms (Datadog, Prometheus, Grafana).
Demonstrated history of using predictive analytics or AI platforms to reduce Mean Time to Resolution (MTTR) during incidents.
Join Us
Join Panopto and play a key role in shaping the security foundation of a platform used by millions. If you love threat modeling, automating defenses, guiding engineering teams, and turning compliance standards into practical, scalable security practices, you’ll feel right at home here.