AI-Driven Observability Engineer/ Senior Consultant Specialist (NM+)
Requirements
To be successful in this role, you should meet the following requirements:
• Data Science & Machine Learning experience: Hands-on proficiency in Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
• Extensive knowledge of ETL techniques: Data extraction, transformation, and loading using Apache Airflow, Apache NiFi, Spark or similar tools
• Observability Stack: Hands-on experience with Prometheus, Grafana, ELK Stack, Loki, OpenTelemetry, Jaeger, or Zipkin.
• Experience with Time-Series Analysis, Predictive Analytics and AI-driven Observability.
• Cloud & Infrastructure: Experience with AWS, Azure, or GCP observability services (e.g., CloudWatch, Azure Monitor).
• Distributed Systems & Microservices: Understanding of Kubernetes, Docker, and Service Mesh technologies (Istio, Linkerd).
• Event-Driven Architectures: Experience with Kafka, RabbitMQ, or other message brokers.
• Database & Storage: Familiarity with time-series databases (InfluxDB, VictoriaMetrics) and NoSQL/SQL databases.
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