Technical Operations Engineer - Medlytix

Key Responsibilities

• Design, implement, and maintain monitoring dashboards and alerting for production workloads across cloud and on‑prem environments.
• Analyze telemetry data to identify performance bottlenecks, troubleshoot incidents, and recommend capacity planning actions.
• Collaborate with data engineering teams to optimize data pipelines, ensuring high‑throughput and low‑latency processing.
• Support workflow orchestration platforms (e.g., Airflow, Prefect) by creating and maintaining DAGs, managing dependencies, and automating routine tasks.
• Develop and maintain automation scripts and tools to streamline deployment, configuration, and incident response processes.

Requirements

• 3+ years of experience in production operations, monitoring, or site reliability engineering.
• Proficiency with monitoring/telemetry stacks such as Prometheus, Grafana, Datadog, or similar.
• Hands‑on experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
• Strong scripting skills in Python or Bash for automation and data pipeline support.
• Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.