Cloud Systems Engineer

23 hours ago

Bengaluru, Karnataka, India beBeeCloudEngineer Full time ₹ 25,00,000 - ₹ 35,00,000

System Engineers play a critical role in the design and implementation of sophisticated AI Agents. As an experienced System Engineer, you will be responsible for developing predictive models, automating operational workflows using machine learning and intelligent scripting, and integrating AI-driven insights with existing cloud monitoring tools.

Job Summary

We are seeking an experienced System Engineer to contribute to our team's efforts in designing and implementing cutting-edge AI systems. The ideal candidate will have a strong background in hybrid cloud technologies (AWS, GCP, OpenStack, Kubernetes), experience with Python, Jupiter, and ML libraries such as PyTorch, TensorFlow, or scikit-learn, and familiarity with cloud-native monitoring, logging, and automation tools (e.g., Terraform, Ansible, Prometheus, Splunk, AppDynamics).

Responsibilities

  • Design and implement AI Agents to optimize cloud resource allocation, auto-scaling, and performance tuning.
  • Develop predictive models for failure detection, incident management, and system health monitoring.
  • Automate operational workflows using machine learning and intelligent scripting.
  • Integrate AI-driven insights with existing cloud monitoring tools.
  • Collaborate with DevOps and SRE teams to deploy, monitor, and improve ML models in production environments.
  • Conduct anomaly detection for security, cost optimization, and performance analytics.
  • Continuously evaluate emerging AI technologies and tools for operational improvements.
  • Maintain documentation and best practices for AI/ML integration in cloud systems.

Requirements

  • Bachelor's or equivalent experience or Masters degree in Computer Science, Data Science, or related technical field.
  • Proven ability building and deploying ML models, with at least 2 years focused on infrastructure or cloud operations.
  • Solid knowledge of hybrid cloud technologies (AWS, GCP, OpenStack, Kubernetes).
  • Experience with Python, Jupiter, and ML libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Familiarity with cloud-native monitoring, logging, and automation tools (e.g., Terraform, Ansible, Prometheus, Splunk, AppDynamics).
  • Comfortable working with streaming data, APIs, and telemetry systems.
  • Strong communication and multi-functional collaboration skills.
  • Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).
  • Proficient in general-purpose programming languages (Python, GoLang, Bash and/or C/C++) and development platforms and technologies.

Preferred Qualifications

  • Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
  • Knowledge of Cloud Security, Compliance, and Governance.
  • Experience with AWS CloudWatch, GCP Monitoring, or similar cloud monitoring tools.
  • Understanding of Service Level Agreements (SLAs) and Key Performance Indicators (KPIs).

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