Key skills
AirflowAngularApacheAWSAzureCloudETLFlaskGoogle Cloud PlatformPySparkPythonPyTorchScikit-LearnTensorflowAIMachine LearningMLTensorFlowscikit-learnSnowflakeApache AirflowGCPGoogle CloudGlueAthenaAgileCommunicationCollaboration
About this role
Role Overview
- Guide the architecture, design, and development of our Cloud platforms and automations
- Design and implement highly scalable, multi-threaded, and distributed applications
- Design and implement AI Agents to monitor and optimize cloud resources
- Integrate AI-driven insights with Cloud Service Providers
- Ensure robust performance, reliability, and security for cloud-based deployments
- Conduct code reviews and offer constructive feedback
- Continuously optimize processes to improve developer productivity
- Develop predictive models for drift detection, cost anomaly detection, and forecasting
- Automate operational workflows using machine learning
- Design, build, and maintain scalable ETL pipelines
- Use AWS Athena for interactive querying of data
- Manage and optimize data storage and processing using Snowflake
- Orchestrate complex workflows and data pipelines using Apache Airflow DAGs
- Continuously evaluate emerging AI technologies and tools
Requirements
- 7+ years of experience in Computer Science
- Bachelor’s or Master’s Degree in Computer Science, Data Science, or related technical field
- At least 2 years of experience in building and deploying ML models
- Solid knowledge of cloud technologies (AWS, GCP, Azure, OCI)
- Experience with Python, PySpark, and ML libraries such as PyTorch, TensorFlow, or Scikit-Learn
- Experience with AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs
- Full stack development experience with Angular and Flask preferred
- Strong communication and multi-functional collaboration skills
- Comfortable working with streaming data, APIs, and telemetry systems
- Experience with Agile and DevOps operating models
Tech Stack
- Airflow
- Angular
- Apache
- AWS
- Azure
- Cloud
- ETL
- Flask
- Google Cloud Platform
- PySpark
- Python
- PyTorch
- Scikit-Learn
- Tensorflow
Benefits
- medical, dental and vision insurance
- a 401(k) plan with a Cisco matching contribution
- paid parental leave
- short and long-term disability coverage
- basic life insurance
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday
- paid year-end holiday shutdown
- 4 paid days off for personal wellness
- 16 days of paid vacation time for non-exempt employees
- flexible vacation time off program for exempt employees
- 80 hours of sick time off provided on hire date
- Optional 10 paid days per full calendar year to volunteer