DevOps Engineer

📌 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
  
  

• 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
  
  

• 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.)
  
  

• 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)