Position Overview:
As an Senior AI Ops Engineer, you will be responsible for integrating AI and machine learning into our infrastructure and operations processes. You will work closely with the Infrastructure, DevOps, and Data Science teams to design, develop, and implement AI-driven automation and monitoring solutions. Your efforts will help us proactively address operational challenges, reduce downtime, optimize performance, and ensure the reliability and scalability of our infrastructure.
Responsibilities:
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AI-Powered Incident Management: Leverage AI/ML models to detect anomalies in real time, perform root cause analysis, and accelerate incident resolution by predicting and preempting issues before they impact services.
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Predictive Maintenance: Implement machine learning algorithms to forecast system and hardware failures, ensuring infrastructure remains resilient and reducing downtime through proactive interventions.
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End-to-End Automation: Design, build, and maintain AI-driven automation pipelines that enhance workflows across monitoring, alerting, and remediation, reducing the need for manual intervention in repetitive tasks.
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Intelligent Resource Optimization: Utilize AI to analyze system usage patterns and make real-time decisions about resource allocation (compute, storage, and network), optimizing performance and cost-efficiency across the infrastructure.
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Self-Healing Infrastructure: Develop and implement systems that automatically detect and correct issues (self-healing) in cloud-based and on-premise infrastructure, using AI to minimize downtime and operational disruptions.
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Dynamic Anomaly Detection: Build and refine models that dynamically learn from evolving system behavior to detect deviations and potential threats, alerting teams to issues before they escalate.
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Enhanced Monitoring & Observability: Integrate AI-driven analytics into existing monitoring platforms to provide deeper insights into system performance, and create dashboards with predictive metrics for real-time decision-making.
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Collaborative Operations: Work closely with DevOps, SRE, and Data Science teams to implement AIOps solutions within the existing CI/CD frameworks and toolchains, enhancing operational efficiency and reducing MTTR (mean time to resolution).
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Continuous Learning and Optimization: Regularly evaluate and improve AI/ML models based on operational feedback, ensuring that the AI systems adapt to new patterns, workloads, and system architectures as they evolve.
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Incident Post-Mortem Analysis: Automate the collection of data for incident post-mortem reports, leveraging AI to extract insights on incident trends, recurring issues, and areas for improvement.
Requirements:
- 5+ years in DevOps, Infrastructure, or SRE roles with experience in automation and monitoring.
- Proven experience in applying AI/ML techniques to operational problems.
- Familiarity with cloud infrastructure (AWS, GCP, Azure).
- Experience in database environments is highly preferred.
- Strong understanding of machine learning concepts and experience with frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Proficiency in Python, with experience in developing automation scripts.
- Hands-on experience with infrastructure automation tools (Terraform, Ansible, etc.).
- Knowledge of monitoring tools such as Prometheus, Grafana, or Datadog, and experience integrating AI for predictive analytics.
- Solid understanding of CI/CD pipelines and integrating AI-driven insights into these processes.
Preferred Qualifications:
- Certifications in AI/ML, Cloud (AWS/GCP/Azure), or DevOps.
- Experience with Kubernetes, Docker, and container orchestration.
- Familiarity with AIOps platforms (e.g., Moogsoft, Dynatrace, Splunk).
- Experience in building or maintaining a self-healing infrastructure.
Benefits
- Company Wide
- Technology Stipend for New Employees
- Monthly Cell Phone and Internet Stipend
- Health and Wellness benefit
- Company and team events
- Flexible time off
- Volunteer time off
- Stock Options
As employees are located in many different countries around the world, some benefits may differ from country to country. In all cases, we do our best to provide equitable perks and benefits across our locations.
About SingleStore
SingleStore is one platform for all data, built so you can engage with insight in every moment. Trusted by industry leaders, SingleStore enables enterprises to adapt to change as it happens, embrace diverse data with ease, and accelerate the pace of innovation. SingleStore is venture-backed and headquartered in San Francisco with offices in Portland, Seattle, Boston, Hyderabad, London, Lisbon, and Kyiv. Defining the future starts with The Database of Now™.
Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
