Senior DevOps Engineer

About Us:

At Cobalt AI, we're advancing physical security through innovative AI-powered monitoring solutions. Our primary offering, Cobalt Monitoring Intelligence, builds on our established track record of protecting Fortune 1000 companies across more than 10 countries. We've effectively managed over 350 million alarm events and conducted 15 million hours of active patrols, resulting in a 90% noise reduction for our clients. We maintain a strong focus on both technological advancement and data protection, as demonstrated by our ongoing SOC2 compliance.

We're currently expanding our capabilities from hundreds of robots to hundreds of thousands of cameras, and we're looking for skilled professionals to join our growing team. We need individuals who can contribute to our early-stage architecture decisions and help drive our technological development. Our approach combines the analytical strengths of AI with human expertise to create more effective security solutions. This presents an opportunity to be part of significant advancements in how businesses and communities approach security.

At Cobalt, we pride ourselves on fostering a positive, people-first culture. We lead with empathy, prioritize work-life balance, and invest in our employees’ professional development. Our approach is simple: we treat people like people, not just resources. Join our results-driven team culture to work on innovative projects that drive the future of AI-enabled edge devices and security solutions, while experiencing a workplace where your wellbeing and growth are as important as your contributions.

What You’ll Do:

• Take ownership of building, deploying, and monitoring highly available Kubernetes-based infrastructure.
• Develop and scale the orchestration platform for our global fleet of AI-enabled cameras and Edge Processors ensuring robust, secure, and reliable operations in diverse network environments.
• Take ownership of the entire edge device lifecycle, from automated provisioning and secure software deployment to remote monitoring, diagnostics, and telemetry collection at scale
• Apply infrastructure-as-code best practices to declaratively manage infrastructure and deployments via Terraform and Argo CD.
• Identify and champion Developer Experience (DevX) improvements across our technologies and processes.
• Manage CI/CD pipelines
• Develop observability solutions to ensure performance and reliability targets are met as scale and complexity increase.
• Support integration efforts with Access Control and Video Management systems.
• Critically assess and address infrastructure security risks.
• Lead by example, establishing and maintaining best practices.
• Gather input from multiple teams to ensure high-quality outcomes.
• Deploy changes with immediate impacts on our product, worldwide.

Requirements:

• Demonstrated expertise in Linux, Networking, and Distributed systems.
• Deep understanding of backend development best practices.
• Hands-on experience managing highly available deployments with container orchestration and declarative IaC.
• Knowledge of monitoring and observability tools and best practices.
• Experience optimizing cloud provider spends.
• Hands-on experience with hybrid cloud/edge architectures, including device identity, secure communication patterns, and fleet orchestration at scale
• Eagerness to work with, mentor, and learn from peers through code reviews, design documents, and pair programming.
• Authorization to work in the United States.

Bonus Skills:

• Experience with compliance frameworks, e.g. SOC 2.
• Experience managing bare metal servers.
• Experience collaborating with cyber security teams.
• Experience with multiple cloud providers’ offerings.
• Experience with AI, including generative AI technologies.
• Familiarity with the Nix package manager.
• Background as a full-stack engineer.

Salary Range: $160k - $200k (actual compensation will be determined based on experience, location, and other factors permitted by law)

Cobalt AI is an equal employment opportunity employer and values diversity. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.