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

Experience:
3–6 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. 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.

What You'll Do
• Own all infrastructure across Azure (AKS, VMs, Blob, Front Door) and AWS (EKS, EC2, S3), including multi-region and cross-cloud setups.
• Keep systems up: set up uptime monitoring and alerting for every critical service (APIs, Kubernetes clusters, MySQL, Redis, RabbitMQ). Track availability and downtime, lead incident response, and write RCAs so issues don't repeat.
• Fix and stabilise existing infra: audit the current setup and fix misconfigurations, single points of failure, unhealthy clusters and undocumented manual setups.
• High availability and backups: HA for databases and core services, regular backups, and tested restores.
• Infrastructure as Code: move manual and VM-based setups into Terraform, Helm and Git, so all infra is version-controlled and reproducible.
• Kubernetes at scale: cluster management and upgrades, spot, on-demand and GPU node pools, autoscaling, resource right-sizing.
• Optimise cost: right-size compute, improve spot usage, add storage lifecycle policies, remove unused resources, and give visibility of cloud spend across AWS and Azure.
• CI/CD and security:



reliable deployment pipelines (GitHub Actions), secrets management, IAM/access control, network security, and support for compliance audits.
• Lead and set standards: infra documentation, runbooks and best practices. Guide developers on deployments, and mentor DevOps engineers as the team grows. Technical Skills & Experience
• Hands-on experience with both AWS and Azure.
• Strong Kubernetes in production (EKS/AKS, Helm, autoscaling, troubleshooting).
• Terraform.
• Monitoring and alerting (Prometheus/Grafana, Datadog or similar), with real incident handling experience.
• Running databases and queues in production: MySQL/PostgreSQL, Redis, RabbitMQ/Kafka, including backups and HA.
• CI/CD, Docker, Linux, networking (VPC/VNet, DNS, load balancers, CDN) and Bash/Python scripting. Good to Have
• GPU workloads on Kubernetes.
• Spot instance strategies at scale.
• Cloud cost tools (AWS Cost Explorer, Azure Cost Management, Kubecost).
• Secrets management (Key Vault, Secrets Manager).
• Security and compliance experience (ISO 27001 / SOC 2).
• Experience leading or mentoring a small DevOps team. 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.
• 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.

📌 Senior DevOps Engineer (Gurugram)
🏢 TrueFan AI
📍 Gurugram