Network Infrastructure Engineer

Company Overview Keystone AI is an AI-native inventory distribution platform and operating system for modern retail trade. We partner with the world’s best brands to help them understand the true value of their inventory and route it to the right destinations globally. Keystone AI gives brands precise control over where and how their inventory is sold. Backed by top venture firms including L Catterton, Cathay Innovation, Union Square Ventures, Equal Ventures, and Eniac. Keystone AI has offices in Los Angeles and New York. About the Role We’re looking for an Infrastructure Engineer who loves building reliable, scalable systems. You will play a critical role in keeping Keystone AI’s platform running during a pivotal stage of growth. You will own our cloud infrastructure end-to-end, ensuring things are secure and always available. You will work closely with Engineering, Data, Product, and Design to support a fast-moving organization, and as we build products both on the platform and off, you will ensure they are fully integrated with our AI infrastructure. Key Responsibilities Own and manage Keystone AI’s cloud infrastructure across AWS, Railway, and Vercel, including VPC networking, compute, storage, IAM, and security configurations; ensuring our environments perform well and stay secure Partner closely with Engineering on the deployment pipeline, ensuring our cloud infrastructure is scaled appropriately and CI/CD systems run reliably Triage and troubleshoot infrastructure issues and outages in real time, and drive root cause analysis to prevent recurrence Handle security-related tickets, such as fixing and maintaining GitHub Actions and keeping client/dependency versions up to date Implement and enforce security and compliance best practices, including access control, certificate management, vulnerability management, and audit logging Evaluate and roll out new infrastructure and tooling, advising Engineering, Product, and Design on the best way to adopt and integrate them Collaborate with Data Engineering to support data infrastructure and pipeline needs Manage vendor relationships for networking hardware, cloud services, and security tooling; guiding the organization in strategic build vs. buy decisions to maximize ROI Drive infrastructure-as-code adoption to ensure reproducible, auditable environments Collaborate with Product and Leadership to translate operational needs into scalable infrastructure solutions Stay current on AI infrastructure trends and help evaluate their application to Keystone AI’s platform Qualifications BA/BS in Computer Science, Information Systems, or a related field, or equivalent experience 5+ years of infrastructure or systems engineering experience, with a minimum of 3 years at a high-growth startup Strong hands-on experience with AWS (VPC, EC2, RDS, S3, IAM, Route53, security groups, and related services), as well as experience with platforms like Railway or Vercel Solid understanding of security best practices and compliance frameworks (SOC 2, access control, certificate management) Experience with infrastructure-as-code tools such as Terraform Strong ownership mindset with comfort operating in ambiguity and resource-constrained environments Experience building and scaling infrastructure in lean, fast-paced startup environments Experience managing enterprise office networking, including switches, firewalls, VLANs, and Wi-Fi a plus Our total compensation for this position can range from $140,000-$160,000 . The actual amounts may vary based on factors such as experience, knowledge, skills, and abilities related to the position. This position will be onsite in our Los Angeles office (mid-city). Benefits we offer: Medical, Vision, and Dental with some plans covered at 100% Competitive compensation and equity structure 401K Unlimited PTO Keystone AI is an equal opportunity employer and values diversity in the workplace. We are committed to fostering an inclusive and innovative environment where all employees can thrive. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other protected characteristic under applicable laws.