Job Title: AIOps Engineer (AI Operations Engineer)
Location: Remote / Hybrid / [City, State]
Job Type: Full-time
Department: IT Infrastructure / DevOps / AI Engineering
About the Role
We are looking for an AIOps Engineer to design and maintain intelligent operations systems that leverage AI/ML to optimize IT performance, detect anomalies, and automate incident response. This role combines expertise in IT operations with a strong understanding of machine learning to build scalable, resilient, and proactive monitoring and remediation frameworks.
As an AIOps Engineer, you will help transform traditional operations through automation, observability, and predictive analytics—reducing downtime and increasing system efficiency across complex environments.
Key Responsibilities
- Implement and maintain AI-driven systems for real-time monitoring, alerting, anomaly detection, and root cause analysis
- Develop and train machine learning models using operational data (logs, metrics, events, traces)
- Automate incident detection and remediation workflows (e.g., self-healing scripts, intelligent runbooks)
- Collaborate with DevOps, SRE, and IT teams to integrate AIOps tools into CI/CD pipelines and cloud infrastructure
- Design data pipelines that ingest, clean, and analyze high-volume system telemetry data
- Evaluate and deploy AIOps platforms (e.g., Moogsoft, Dynatrace, Splunk, BigPanda, DataDog, Elastic)
- Monitor model performance, manage retraining cycles, and ensure AI reliability
Qualifications
- Bachelor’s or Master’s degree in Computer Science, IT, Data Science, or related field
- Experience in DevOps, SRE, or infrastructure automation roles
- Proficiency in Python, Bash, or other scripting languages
- Familiarity with AI/ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
- Strong understanding of observability stacks (e.g., Prometheus, Grafana, ELK, OpenTelemetry)
- Experience with public cloud platforms (AWS, Azure, GCP) and infrastructure as code (e.g., Terraform, Ansible)
Preferred Qualifications
- Hands-on experience with AIOps platforms or building ML-based incident response systems
- Background in log analysis, time-series forecasting, or unsupervised anomaly detection
- Knowledge of Kubernetes, container orchestration, and service mesh architectures
- Exposure to ITSM/ITIL processes and how they integrate with AIOps
- Ability to communicate ML results to operational teams and implement iterative improvements
What We Offer
- A modern tech stack and opportunities to shape the future of intelligent infrastructure
- Collaboration with cross-functional teams in DevOps, data science, and platform engineering
- Impactful work that reduces downtime and drives efficiency at scale
- Competitive salary, flexible working hours, and strong benefits
- Ongoing learning and certification support in AI, cloud, and automation
How to Apply
Submit your resume and optionally include examples of operational automation projects, AI tools you’ve implemented, or infrastructure optimization work.
TL;DR
We’re hiring an AIOps Engineer to apply AI/ML techniques to IT operations. You’ll build intelligent monitoring, automate remediation, and work at the intersection of DevOps and data science. Ideal for engineers with both systems and ML experience.
