Backend Infrastructure 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:

• Develop robust backend systems to support web interfaces.
• Support integration efforts with Access Control and Video Management systems.
• Improve the performance and reliability of our backend APIs and infrastructure.
• Develop infrastructure deployment and replication models for AI-enabled edge devices.
• Scale our backend systems 100x to support an expanding fleet of edge devices, customers, and internal human operators.
• Critically assess and address cloud infrastructure security risks.
• Design and implement secure networking infrastructure to protect our customers’ data.
• Build infrastructure configuration-as-code modules using Terraform.
• Lead by example, establishing and maintaining best practices in backend development.
• Lead design reviews and gather input from multiple teams to ensure high-quality outcomes.
• Tackle challenging interdisciplinary problems within our deep tech stack.
• Deploy changes with immediate impacts on our product, worldwide.

Requirements:

• Demonstrated expertise in backend development and best coding practices for Python, Go, Rust or equivalent.
• Hands-on experience with Django or a similar web framework.
• Experience with backend resilience, stability, and site reliability engineering (SRE) improvements.
• Experience building and scaling high availability distributed systems.
• Understanding of standard Observability tools such as Datadog, Cloudwatch etc.
• Experience with IaC such as Terraform.
• Hands-on experience with AWS and DevOps practices.
• Passionate about delivering high-quality products that exceed user expectations.
• Eager to work with, mentor, and learn from peers through code reviews, design documents, and pair programming.
• Enthusiastic about diving into different areas of technology and problem-solving.
• Must be authorized to work in the United States.

Bonus Skills:

• Experience leading teams or managing projects.
• Experience with AI, including generative AI technologies.
• Knowledge of distributed systems and running hardware at the edge.
• Experience with performance improvements of databases and APIs.
• Familiarity with the Nix package manager and its ecosystem.
• Experience working in a fast-paced startup environment.
• Expertise in networking and security protocols.
• Background implementing and maintaining kubernetes.
• Background as a full-stack engineer.

Salary Range in SVBA: $160k - $210k (actual compensation will be determined based on experience, location, and other factors permitted by law)