Posted:1 hour ago|
Platform:
Hybrid
Full Time
1. Machine Learning & AI Expertise in anomaly detection, drift modeling, and predictive analytics using PyOD, Scikit-learn, TensorFlow, or Prophet.
2. Python Programming – Strong coding skills with experience in data pipelines, APIs, and automation scripts.
3. Data Engineering – Hands-on with Pandas, NumPy, and data ingestion from APM or telemetry sources like Prometheus or New Relic.
4. Infrastructure as Code (IaC) – Practical experience with Terraform, CloudFormation, or Helm for provisioning and drift tracking.
5. DevOps Practices – Knowledge of CI/CD pipelines (GitLab, Jenkins), containerization (Docker, Kubernetes), and GitOps workflows.
6. SRE & Observability – Understanding of SLOs, SLIs, error budgets, and monitoring using Grafana, OpenTelemetry, or Splunk.
7. Automation & Remediation – Ability to build self-healing workflows and event-driven automation using Python, Lambda, or Ansible.
8. Cloud Platform Expertise – Working knowledge of AWS, Azure, or GCP for resource scaling, capacity planning, and cost optimization.
9. API & Backend Development – Experience developing REST APIs using FastAPI or Flask for integrating drift detection and remediation outputs.
10. Visualization & Reporting – Proficiency in creating dashboards and reports using Grafana, Kibana, or Streamlit for anomaly and capacity insights.
Sdna Global
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