DevOps Engineer

Pomona College

Claremont, California, United States

Claremont, California, United States

About

and the job listing Expires on June 6, 2026 NeuroHire is building an AI-first SaaS platform that helps companies hire smarter using data and intelligent systems. As we scale, reliable infrastructure, smooth deployments, and strong automation are critical to delivering a high-quality product. We’re looking for a DevOps Engineer who can build and manage systems that keep our platform fast, stable, and scalable — and who uses modern tooling (including AI) to improve workflows and efficiency. If you enjoy automation, clean infrastructure, and solving real production challenges — you’ll fit right in. What You’ll Work On Design and manage scalable cloud infrastructure for our SaaS platform Build and maintain CI/CD pipelines for fast, safe deployments Automate infrastructure using Infrastructure as Code (IaC) Monitor systems, logs, and performance to ensure reliability and uptime Troubleshoot production issues and implement long-term fixes Optimize cloud usage for performance, cost, and efficiency Implement security best practices across environments Collaborate with engineering teams to improve developer experience and deployment workflows Use AI tools to assist in automation, debugging, monitoring, and incident response What We’re Looking For 0-2 years of experience in DevOps, SRE, or infrastructure engineering Strong experience with cloud platforms (AWS, GCP, or Azure) Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, etc.) Experience with containerization and orchestration (Docker, Kubernetes) Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, etc.) Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog, etc.) Strong scripting skills (Bash, Python, or similar) Understanding of networking, security, and system architecture Experience using AI tools to improve productivity and automation Nice to Have (Not Required) Experience supporting AI/ML workloads or data pipelines Familiarity with microservices or distributed systems Experience with cost optimization and performance tuning Exposure to security practices or compliance standards Experience in SaaS or product-based companies
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Claremont, California, United States

Languages

English

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