Manager

Join Us as a Lead Big Data DevOps Engineer 📍 Location : Gurugram 🕒 Experience : 3–10 Years | 💼 Job Type : Full-Time 🚀 Your Opportunity We’re looking for an experienced Big Data DevOps Engineer to architect, scale, and optimize our Big Data infrastructure. If you’re passionate about automation, performance, and enabling data-driven innovation, this is your chance to lead from the front. 🔧 What You’ll Do Lead the architecture and deployment of Big Data platforms (Hadoop, Spark, Kafka, Trino, Airflow) Implement and drive DevOps best practices (CI/CD, infrastructure-as-code, containerization, security) Build resilient, scalable systems across on-premise and cloud environments Collaborate with cross-functional teams to streamline data workflows Mentor DevOps engineers and lead critical incident responses Ensure infrastructure performance, monitoring, compliance, and cost efficiency ✅ What You Bring 3+ years in DevOps or infrastructure engineering (3+ in Big Data/DevOps ) Expertise in Hadoop, Spark, Kafka, Airflow, Docker, Kubernetes, and IaC tools (Terraform, Ansible) Strong scripting skills (Python, Bash), CI/CD tools (Jenkins, GitLab CI) Experience with cloud platforms (AWS, Azure, GCP) Deep understanding of DevOps security and monitoring practices 🌟 Bonus Skills Exposure to MLOps, GenAI, data mesh Experience with NoSQL databases (Cassandra, MongoDB) Familiarity with observability tools (Prometheus, Grafana, ELK) 🎯 Why Join Us? Lead cutting-edge Big Data platform development Collaborate in a high-impact, innovation-driven environment Competitive salary and benefits Continuous learning and professional growth opportunities Seniority Level Mid-Senior level Industry Telecommunications IT Services and IT Consulting Technology, Information and Media Employment Type Full-time Job Functions Information Technology Skills Big Data Docker Products DevOps Continuous Integration and Continuous Delivery (CI/CD) Kubernetes Microsoft Azure Jenkins Amazon Web Services Show more Show less