Description

You will build and maintain the infrastructure and workflows required to develop, deploy, and monitor machine learning models at scale.

This role is on-site.

Responsibilities

• Build scalable backend applications and RESTful APIs using Python.
• Develop and manage CI/CD pipelines and GitHub workflows for automated testing and deployment.
• Implement data orchestration and messaging systems using Apache Airflow and Kafka.
• Deploy and manage containerized services using Kubernetes.
• Execute SRE tasks, including monitoring migration scripts and validating observability dashboards.

Required Skills

• 5+ years of professional programming experience with Python.
• Hands-on experience with Apache Airflow and Apache Kafka.
• Proficiency in Kubernetes and container orchestration.
• Experience managing CI/CD pipelines and GitHub workflows.
• Practical knowledge of SRE and observability concepts, including metrics, alerts, and logs.
• Experience with monitoring tools such as Grafana, Prometheus, or Kibana.
• Ability to develop backend services and RESTful APIs.
• Any Graduate degree.

Key Skills

Education

Any Graduate