DevOps Engineer

Job Description Job Description DevOps Engineer Certified | 5+ Years Experience | CI/CD | Cloud | ETL/ELT Role Overview 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. Key Responsibilities Infrastructure DevOps 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 Data Engineering ETL Pipelines 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 Security Governance 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 Automation Integration 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 Required Skills Experience Core DevOps Skills 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) Cloud Systems 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 Data Pipeline ETL 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.) Preferred Skills 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) Education Bachelor s degree in Computer Science, IT, or related field Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.