Sr Cloud/ DevOps Engineer

Overview

Prodapt is the largest and fastest-growing specialized player in the Connectedness industry, recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider across North America, Europe and Latin America. With its singular focus on the domain, Prodapt has built deep expertise in the most transformative technologies that connect our world. Prodapt is a trusted partner for enterprises across all layers of the Connectedness vertical. Prodapt designs, configures, and operates solutions across their digital landscape, network infrastructure, and business operations – and craft experiences that delight their customers. Today, Prodapt’s clients connect 1.1 billion people and 5.4 billion devices, and are among the largest telecom, media, and internet firms in the world. Prodapt works with Google, Amazon, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries across North America, Latin America, Europe, Africa, and Asia. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 30,000 people across 80+ locations globally.

We are looking for Sr Cloud/ DevOps engineer who has multi-cloud experience and hands on experience with DevOps.

Responsibilities

• Design, build, and manage scalable, secure, and highly available cloud infrastructure across AWS, Azure, and GCP. • Lead Kubernetes-based platform engineering initiatives, including application migrations, containerization, and platform modernization. • Drive infrastructure automation using Terraform, Ansible, and scripting to improve consistency and operational efficiency. • Design and maintain CI/CD pipelines and GitOps workflows using tools such as GitHub Actions, Jenkins, and Argo CD. • Improve platform reliability and performance through monitoring, observability, capacity planning, and incident management. • Develop automation and tooling using Go, Python, Rust, Java, or Bash to streamline infrastructure operations. • Implement cloud security best practices, including access management, secrets management, vulnerability remediation, and compliance controls. • Support large-scale distributed and compute-intensive workloads, ensuring infrastructure scalability, availability, and performance. • Collaborate with application, security, architecture, and operations teams to resolve complex technical challenges and establish engineering standards. • Leverage AI-powered tools and LLM-based workflows to enhance development productivity, troubleshooting, and operational automation.