DevOps Engineer

DevOps Engineer – Airflow & Cloud Implementation Specialist (5–7 Years Experience)

 Location: Faridabad / Remote (WFH)
  Job Type: Full-time
  Experience Level: Mid to Senior

At Zonda Home, we are redefining data-driven customer experiences through automation, scalability, and cloud-native architecture. We are seeking a skilled DevOps Engineer with a deep focus on Apache Airflow orchestration and cloud infrastructure implementation. In this role, you will design, deploy, and optimize data pipelines and CI/CD processes across cloud environments, supporting scalable data integration and high-performing systems.

You’ll play a key role in bridging DevOps and Data Engineering, enabling robust data orchestration, reliable infrastructure automation, and cloud-first delivery models.

 Key Responsibilities

• Design and implement Airflow-based ETL/ELT workflows for data pipeline orchestration, scheduling, and monitoring.
• Manage Airflow DAGs across multiple environments, ensuring modularity, reliability, and maintainability.
• Deploy and scale Airflow on Docker (GKE/EKS/AKS) or VM-based cloud instances.
• Automate infrastructure provisioning using Terraform, or Cloud Deployment Manager.
• Design and manage scalable, secure architectures on GCP, AWS, or Azure (preferred: AWS).
• Optimize data integration between cloud-native storage (e.g., GCS, S3) and cloud Datawarehouse like Big Query, Snowflake, or Redshift.
• Implement CI/CD pipelines using tools like GitHub Actions, GitLab CI/CD, or Jenkins, including DAG testing and deployments.
• Ensure observability using tools like Prometheus, Grafana, Stack driver, and integrate alerts into collaboration platforms (e.g., Slack, Teams).
• Automate and manage secrets, configurations, and security policies via Vault, KMS, or Secrets Manager.
• Enable cost-efficient cloud usage through performance tuning, autoscaling, and budget monitoring.

Required Skills & Experience

• 5–7 years of experience in DevOps or cloud infrastructure roles.
• 5+ years of hands-on experience with Apache Airflow (authoring, deploying, managing DAGs in production).
• Proficiency in cloud platforms (AWS preferred; GCP/Azure also acceptable).
• Strong scripting skills in Python and Bash; experience with Airflow custom operators is a plus.
• Solid experience with Infrastructure as Code (IaC) tools like Terraform
• Strong understanding of data engineering principles, batch scheduling, and data reliability.
• Hands-on with Docker and Kubernetes for orchestrating microservices and Airflow deployments.
• Knowledge of CI/CD pipelines, GitOps, and automated release processes.
• Experience integrating Airflow with Big Query, Cloud SQL, S3/GCS, APIs, and messaging systems like Pub/Sub or Kafka.
• Familiarity with monitoring and alerting best practices.

🎓 Preferred Qualifications

• Bachelor’s degree in computer science, Data Engineering, or related technical field.
• Certifications in GCP, AWS, or DevOps tools (e.g., GCP Professional DevOps Engineer, CKA).
• Exposure to AI and ML pipeline orchestration, data quality frameworks, or metadata management tools (e.g., Great Expectations, Open Lineage) is a bonus.

 Why Join Zonda Home

• Own and lead the Airflow and cloud architecture strategy in a high-impact role.
• Work with a forward-thinking team using modern DevOps, data, and cloud-native tooling.
• Be part of a growing engineering culture that values automation, transparency, and innovation.
• Enjoy flexible remote work, autonomy, and the opportunity to influence enterprise-scale delivery.