About the Company

Company is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere .

About the role

We are seeking a highly skilled AI Ops Engineer to join our DevOps/SRE/Operations team. In this role, you will be responsible for designing, developing, and implementing AI-driven solutions to optimize IT operations. You will apply machine learning and data analytics to monitor, detect, and resolve operational issues proactively, driving automation and improving system reliability and performance.

• Location. This role is office-based at our Bellevue, Washington office.
• What You'll Do (Key Responsibilities)
• Develop and implement AI/ML models to monitor infrastructure and application performance.
• Integrate observability tools (e.g., Prometheus, Grafana, Datadog) with AI models to enable real-time insights and predictive analytics.
• Automate anomaly detection, root cause analysis, and incident resolution workflows.
• Collaborate with SRE, DevOps, and IT operations teams to integrate AI capabilities into existing pipelines.
• Analyze logs, metrics, traces, and events to derive actionable intelligence for system improvements.
• Build and maintain data pipelines for ingesting operational data into AI models.
• Ensure high availability, scalability, and performance of AI-driven systems.
• Stay current with trends in AIOps, machine learning, and IT automation.
• Required Qualifications
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• 3+ years of experience in DevOps, Site Reliability Engineering, or IT operations.
• Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of cloud platforms (AWS, GCP, Azure).
• Proficient in Python, Shell, or another scripting language.
• Experience with monitoring/logging tools (e.g., ELK stack, Splunk, New Relic).
• Familiarity with CI/CD and Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible).
• Preferred Qualifications
• Experience with AIOps platforms (e.g., Moogsoft, BigPanda, Dynatrace, IBM Watson AIOps).
• Understanding of MLOps best practices.
• Knowledge of container orchestration tools (e.g., Kubernetes, Docker).
• Strong communication and collaboration skills.
• Compensation
• For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.
• In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).

• Competitive base salary and equity
• Medical, dental, and vision (subsidized cost)
• Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
• Retirement plan options, including 401(k) and Roth 401(k)
• Unlimited paid time off (PTO)

15 paid company holidays per year #LI-AB1 #LI-Onsite

• Compensation $128,000 — $160,000 USD
• You're a Great Fit if You're
• A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
• A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
• Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
• A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
• Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
• Equal Opportunity Statement

At Company, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

• Unsolicited Resumes and Candidates

Company does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Company will not be obligated to pay any fees.