About this role

Contribute to building and evolving a multi tenant scheduling platform, gaining hands-on experience with real-world scalability and reliability challenges
Work on large-scale workflow orchestration systems, understanding how complex job dependencies and high-throughput pipelines are designed and managed
Develop and operate workflows using managed Apache Airflow, leveraging cloud native services to build resilient and maintainable data pipelines
Gain practical, hands-on experience with GCP, working with core services to deploy, monitor, and support production-grade solutions

Strong proficiency in Python or Java
Strong debugging skill
Exposure to Apache Airflow (Cloud Composer preferred) is preferred
Experience in File Transfer Service is an advantage
Experience using Terraform to provision and manage cloud infrastructure, primarily on GCP is an advantage
Understanding of scheduling concepts (cron, retries, SLAs, idempotency)
Familiarity with GCP services (GCS, IAM, BigQuery, Pub/Sub)
Experience with version control and CI/CD pipelines
Basic knowledge of Linux, networking, and cloud security fundamentals
Exposure to monitoring/logging tools (Cloud Monitoring, Prometheus, etc.)
Strong inter-personal communication and collaboration skills.
A good team player, high level of personal commitment & 'can do' attitude.

Software Developer

Key skills