We are looking for a Certified DevOps Engineer with 5+ years of hands‑on experience who can bridge infrastructure, development, and data engineering workflows. This role requires strong expertise in CI/CD, cloud platforms, and data pipelines (ETL/ELT) to build scalable, reliable, and automated systems.
Responsibilities
- Design, implement, and manage scalable cloud infrastructure (AWS / Azure / GCP)
- Build and maintain CI/CD pipelines for application and data workflows
- Automate deployments using Infrastructure as Code (Terraform / CloudFormation)
- Monitor system performance, availability, and reliability using Prometheus, Grafana, or cloud-native services
- Design and manage ETL/ELT pipelines for data ingestion and transformation
- Build scalable data workflows using Apache Airflow, AWS Glue, Azure Data Factory, or similar
- Ensure data quality, validation, and consistency across pipelines
- Optimize batch and real-time data processing systems
- Implement role-based access control (RBAC) and cloud security best practices
- Manage secrets, credentials, and secure configurations
- Ensure compliance with data governance and security policies
- Automate infrastructure provisioning and application deployment processes
- Integrate third-party tools, APIs, and data sources into pipelines
- Enable seamless collaboration between development, QA, and data teams
Requirements
- 5+ years of experience in DevOps / Cloud Engineering
- Strong expertise in CI/CD tools (GitHub Actions, Jenkins, GitLab CI/CD)
- Hands‑on experience with Docker and Kubernetes
- Experience with Infrastructure as Code (Terraform preferred)
- Certification in cloud platforms (AWS / Azure / GCP DevOps)
- Strong experience with cloud services (compute, storage, networking, IAM)
- Knowledge of Linux systems and networking concepts
- Troubleshooting deployments and cloud infrastructure issues
- Experience building and managing ETL/ELT pipelines
- Hands‑on with tools like Airflow, Databricks, Glue, or similar
- Strong SQL knowledge (PostgreSQL, MySQL, BigQuery, Snowflake)
- Understanding of data warehousing (Medallion Architecture, data lakes, etc.)
- Bachelor’s degree in Computer Science, IT, or related field
Nice to have
- Experience with streaming systems (Kafka, Kinesis, Pub/Sub)
- Familiarity with MLOps / AI pipelines
- Experience with monitoring & logging tools (ELK Stack, Datadog)
- Knowledge of scripting languages (Python / Bash)
Additional details
- 📌 Job Description – DevOps Engineer
- Certified | 5+ Years Experience | CI/CD | Cloud | ETL/ELT
Zobhira
