Description

You will design, implement, and maintain backend services and APIs using Python on Google Cloud Platform.

This role is remote.

Responsibilities

• Design and maintain scalable backend services and APIs in Python.
• Build and optimize data pipelines using Apache Airflow.
• Develop infrastructure-as-code for GCP resources including Pub/Sub, Cloud Functions, BigQuery, and Cloud Storage.
• Ensure system reliability through automated testing, monitoring, alerting, and production troubleshooting.
• Participate in code reviews and mentor junior engineers to evolve technical best practices.

Required Skills

• 5+ years of professional development experience.
• Proficiency in Python.
• Hands-on experience with Apache Airflow, including authoring DAGs, operators, and scheduling.
• Working knowledge of Google Cloud Platform (Compute Engine, Cloud Functions, BigQuery, Pub/Sub, IAM).
• Experience containerizing applications with Docker.
• Experience deploying via CI/CD tools such as GitHub Actions or Cloud Build.
• Solid understanding of SQL and relational databases.
• Familiarity with RESTful API design.
• Commitment to code quality through automated tests, linting, and type checking.

Preferred Skills

• Experience with Terraform or other IaC tools.
• Knowledge of Kubernetes and serverless architectures.
• Background in event-driven or streaming data systems like Dataflow or Kafka.

Key Skills

Education

Any Graduate