DevOps Engineer TrueFan AI | Gurugram, Haryana, India (On-site) | Full time

Experience:
4–6 Years About TrueFan AI TrueFan AI is a Gurugram-based generative AI company building India's leading enterprise video platform. From a single five-minute shoot, our technology generates hyper-personalized, ultra-realistic videos in 175+ languages. We work with 100+ enterprises across BFSI, healthcare, travel, and consumer internet industries, where accuracy, compliance, and brand safety are non-negotiable. We are looking for an experienced DevOps Engineer to own, strengthen, and scale the cloud infrastructure powering our AI-driven products. This role requires strong technical fundamentals, hands-on expertise, and the ability to independently manage production infrastructure in a fast-paced environment. Role Overview As a DevOps Engineer, you will work closely with our backend, AI/ML, and engineering teams to architect, manage, and optimize our AWS infrastructure, container orchestration platforms, and CI/CD pipelines. You will take ownership of infrastructure reliability, deployment automation, system monitoring, security, and performance optimization. We are looking for someone who can go beyond routine infrastructure management and proactively improve scalability, availability, and operational efficiency.

Key Responsibilities
• AWS Infrastructure & Architecture: Design, manage, and optimize AWS infrastructure, including EC2, VPC, IAM, Route 53, CloudWatch, Auto Scaling Groups, Load Balancers, ECR, ECS, and EKS.
• Infrastructure Scaling & Reliability: Build and maintain highly available, scalable infrastructure to support growing application demands. Identify performance bottlenecks and proactively improve system reliability.
• Containerization & Orchestration: Manage containerized applications using Docker and Kubernetes. Handle deployments, cluster management, rollouts, and production troubleshooting.
• CI/CD & Deployment Automation: Design, build, and maintain robust CI/CD pipelines using Jenkins and GitHub Actions, ensuring reliable and efficient software releases.




• Monitoring & Observability: Implement and maintain monitoring, logging, and alerting systems using Prometheus, Grafana, ELK Stack, and CloudWatch. Drive proactive identification and resolution of production issues.
• Infrastructure as Code: Automate infrastructure provisioning and configuration management using Terraform, Ansible, or similar tools.
• Cloud Cost Optimization: Monitor AWS expenditure, identify inefficiencies, and implement cost optimization strategies while maintaining performance and availability.
• Linux & Production Engineering: Manage Linux-based environments, troubleshoot complex production issues, conduct root-cause analysis, and implement preventive measures.
• Security & Compliance: Establish infrastructure security best practices, manage IAM policies and access controls, and ensure secure, compliant cloud environments.
• Automation & Scripting: Develop automation scripts using Python and Bash to streamline infrastructure operations and minimize manual intervention. Required Qualifications
• Bachelor's degree in Computer Science, Information Technology, or a related technical field.
• 3–6 years of hands-on experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure.
• Strong expertise in AWS infrastructure and core cloud services. TrueFan AI | 1
• Hands-on experience managing production environments with Auto Scaling Groups, Load Balancers, and high-availability architecture.
• Strong experience with Docker and Kubernetes, including production deployments.
• Proven experience designing and managing CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.




• Experience with Infrastructure as Code (Terraform/Ansible).
• Strong understanding of Linux administration, networking fundamentals, DNS, TCP/IP, SSL, and security configurations.
• Hands-on experience with monitoring and observability tools such as Prometheus, Grafana, and CloudWatch.
• Proficiency in Python or Bash scripting.
• Demonstrated ability to independently troubleshoot production incidents and manage infrastructure reliability.
• Strong problem-solving skills, ownership, and the ability to collaborate with cross-functional engineering teams. Preferred Qualifications
• Experience managing large-scale, distributed, or high-availability production systems.
• Exposure to GPU-backed infrastructure, AI/ML workloads, or real-time video/streaming applications.
• Experience with centralized logging solutions such as ELK Stack.
• Familiarity with multi-cloud environments (GCP/Azure).
• Understanding of enterprise security, audit logging, data isolation, SOC 2, or ISO compliance.
• AWS certifications such as Solutions Architect Associate or SysOps Administrator Associate. Ideal Candidate Profile
• Strong engineering fundamentals with a proven track record of managing production-grade infrastructure.
• Experience working in reputed product companies, technology-driven organizations, or high-growth engineering environments.
• Ability to independently own infrastructure, troubleshoot complex issues, and drive improvements.
• Strong technical depth across AWS, Kubernetes, CI/CD, and automation.
• A proactive engineer who takes end-to-end ownership rather than relying on predefined instructions. Why Join Us? At TrueFan AI, you will work on the infrastructure powering enterprise-grade generative AI products used by some of India's largest organizations. You will have the opportunity to solve challenging infrastructure and scalability problems, work alongside experienced engineering teams, and directly influence the reliability and performance of a rapidly growing AI platform. TrueFan AI | 2

📌 DevOps Engineer (Gurugram)
🏢 TrueFan AI
📍 Gurugram