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CA

Calix

via Workday

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Staff AI Ops Engineer

Anywhere
full-time
Posted 11/21/2025
Direct Apply
Key Skills:
GCP
Machine Learning
Generative AI
DevOps
AIOps
Terraform
Docker
Kubernetes
Airflow
Kubeflow
CI/CD
Python
PyTorch
Vertex AI
Monitoring Tools
Logging Tools

Compensation

Salary Range

$136K - 266K a year

Responsibilities

The Staff AI Ops Engineer will design, implement, and maintain scalable infrastructure for machine learning and generative AI applications. This role involves deploying, operating, and troubleshooting production ML/GenAI pipelines and services.

Requirements

Candidates should have a bachelor's degree in a related field and at least 8 years of overall software engineering experience, with 3 years focused on DevOps/AIOps or similar roles. Proficiency in GCP, containerization, and CI/CD practices is essential.

Full Description

Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value. Calix is where passionate innovators come together with a shared mission: to reimagine broadband experiences and empower communities like never before. As a true pioneer in broadband technology, we ignite transformation by equipping service providers of all sizes with an unrivaled platform, state-of-the-art cloud technologies, and AI-driven solutions that redefine what’s possible. Every tool and breakthrough we offer is designed to simplify operations and unlock extraordinary subscriber experiences through innovation. Calix is seeking a highly skilled Staff AI Ops Engineer with hands-on experience with GCP to join our cutting-edge AI/ML team. In this role, you will be responsible for building, scaling, and maintaining the infrastructure that powers our machine learning and generative AI applications. You will work closely with data scientists, ML engineers, and software developers to ensure our ML/AI systems are robust, efficient, and production ready. This is a remote-based position that can be located anywhere in the United States or Canada. Key Responsibilities: Design, implement, and maintain scalable infrastructure for ML and GenAI applications Deploy, operate, and troubleshoot production ML/GenAI pipelines/services Build and optimize CI/CD pipelines for ML model deployment and serving Scale compute resources across CPU/GPU architectures to meet performance requirements Implement container orchestration with Kubernetes Architect and optimize cloud resources on GCP for ML training and inference Setup and maintain runtime frameworks and job management systems (Airflow, KubeFlow, MLflow, etc.) Establish monitoring, logging and alerting for systems observability Optimize system performance and resource utilization for cost efficiency Develop and enforce AIOps best practices across the organization Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). 8+ years of overall software engineering experience 3+ years of focused experience in DevOps/AIOps or similar ML infrastructure roles Proficient in IaC, using Terraform. Strong experience with containerization and orchestration using Docker and Kubernetes Demonstrated expertise in cloud infrastructure management on GCP Proficiency with workflow management such as Airflow & Kubeflow Strong CI/CD expertise with experience implementing automated testing and deployment pipelines Experience with scaling distributed compute architectures utilizing various accelerators (CPU/GPU) Solid understanding of system performance optimization techniques Experience implementing comprehensive observability solutions for complex systems Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK stack). Strong proficiency in Python Familiarity with ML frameworks such as PyTorch and ML platforms like Vertex AI Excellent problem-solving skills and ability to work independently Strong communication skills and ability to work effectively in cross-functional teams #LI-Remote The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience. San Francisco Bay Area: 156,400 - 265,700 USD Annual All Other US Locations: 136,000 - 231,000 USD Annual As a part of the total compensation package, this role may be eligible for a bonus. For information on our benefits click here. PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at talentandculture@calix.com. Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences. This is the Calix mission - to enable BSPs of all sizes to Simplify. Innovate. Grow. To learn more, visit the Calix web site at www.calix.com To learn more about our international job opportunities, please visit our International Careers Page If you are a person with a disability needing assistance with the application process please: Email us at calix.interview@calix.com; or Call us at +1 (408) 514-3000. Calix is a Drug Free Workplace. You may access a copy of Calix Candidate Privacy Policy HERE and other Calix Privacy Policies HERE.

This job posting was last updated on 11/23/2025

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