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Senior DevOps Engineer

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Responsibilities​

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• Design and develop infrastructure supporting scalable and reliable data pipelines on cloud platforms (AWS/GCP/Azure) using Kubernetes, Docker, and auto-scaling clusters.

• Develop and maintain CI/CD pipelines for both applications and data pipelines (ETL/ELT) with high stability and automation.

• Manage and optimize data flows across systems including databases (PostgreSQL, MySQL), data warehouses (BigQuery, Redshift, Snowflake), and storages (S3, GCS).

• Optimize and troubleshoot performance issues in both infrastructure and data pipelines to ensure maximum efficiency.

• Set up monitoring and alerting systems for infrastructure, pipelines, and cost management.

• Implement Infrastructure as Code (IaC) such as Terraform, Helm, and Ansible to manage and provision infrastructure.

• Collaborate with Data Engineers, Data Scientists, and Developers to support data-related projects.

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Qualifications

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• Bachelor’s degree in IT, Computer Science, Engineering, or related field.

• 3+ years of experience as a DevOps Engineer/DataOps Engineer.

• Strong experience with containerization technologies (Docker, Kubernetes).

• Hands-on experience with cloud services (AWS/GCP/Azure), particularly data-related services such as: AWS (ECS, EKS, S3, Glue, Redshift, Step Functions), GCP (BigQuery, Pub/Sub, Dataflow, Composer), Azure (Data Factory, Synapse).

• Experience with CI/CD tools (Bitbucket Pipelines, GitHub Actions, GitLab CI/CD, Jenkins).

• Proficiency with monitoring tools such as Prometheus, Grafana, ELK Stack, Cloud Monitoring.

• Knowledge of data pipeline & workflow orchestration frameworks (Airflow, Dagster, Prefect).

• Experience with messaging/queue systems (Kafka, RabbitMQ, Pub/Sub).

• Ability to explain complex concepts in a clear and simple manner.

• Demonstrated leadership and project management skills.

• Strong collaboration skills in cross-functional teams.

• Good command of English communication (verbal and written).