Job Description

Job Title: DevOps Engineer Location: Gurugram (On-site) Experience Required: 2–6 years Work Schedule: Monday to Friday, 10:30 AM – 8:00 PM (1st and 3rd Saturdays off) About Darwix AI Darwix AI is a next-generation Generative AI platform built for enterprise revenue teams across sales, support, credit, and retail. Our proprietary AI infrastructure processes multimodal data such as voice calls, emails, chat logs, and CCTV streams to deliver real-time contextual nudges, performance analytics, and AI-assisted coaching. Our product suite includes: Transform+: Real-time conversational intelligence for contact centers and field sales Sherpa.ai: Multilingual GenAI assistant offering live coaching, call summaries, and objection handling Store Intel: A computer vision solution converting retail CCTV feeds into actionable insights Darwix AI is trusted by leading organizations including IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar, and Sobha Realty. We are backed by top institutional investors and are expanding rapidly across India, the Middle East, and Southeast Asia. Key Responsibilities Design, implement, and manage scalable cloud infrastructure using AWS services such as EC2, S3, IAM, Lambda, SageMaker, and EKS Build and maintain secure, automated CI/CD pipelines using GitHub Actions, Docker, and Terraform Manage machine learning model deployment workflows and lifecycle using tools such as MLflow or DVC Deploy and monitor Kubernetes-based workloads in Amazon EKS (both managed and self-managed node groups) Implement best practices for configuration management, containerization, secrets handling, and infrastructure security Ensure system availability, performance monitoring, and failover automation for critical ML services Collaborate with data scientists and software engineers to operationalize model training, inference, and version control Contribute to Agile ceremonies and ensure DevOps alignment with sprint cycles and delivery milestones Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field 2–6 years of experience in DevOps, MLOps, or related roles Proficiency in AWS services including EC2, S3, IAM, Lambda, SageMaker, and EKS Strong understanding of Kubernetes architecture and workload orchestration in EKS environments Hands-on experience with CI/CD pipelines and GitHub Actions, including secure credential management using GitHub Secrets Strong scripting and automation skills (Python, Shell scripting) Familiarity with model versioning tools such as MLflow or DVC, and artifact storage strategies using AWS S3 Solid understanding of Agile software development practices and QA/testing workflows Show more Show less