DevOps Engineer

About TrueFan AI

TrueFan AI, located in Gurugram, Haryana, India, is a pioneering generative AI company that has developed a leading enterprise video platform in India. Their technology transforms a single five-minute recording into highly personalized and ultra-realistic videos in over 175 languages. TrueFan AI serves more than 100 clients across diverse sectors such as BFSI, healthcare, travel, and consumer internet industries, where precision, regulatory compliance, and brand integrity are paramount.

Role Summary

The company is seeking a seasoned DevOps Engineer to take ownership of and enhance the cloud infrastructure supporting their AI-powered products. This role demands robust technical knowledge, practical experience, and the autonomy to manage production infrastructure effectively within a dynamic setting.

Key Responsibilities

• Architect, oversee, and optimize AWS cloud infrastructure including key services such as EC2, VPC, IAM, Route 53, CloudWatch, Auto Scaling Groups, Load Balancers, ECR, ECS, and EKS.
• Develop and sustain highly available and scalable infrastructure capable of meeting growing application needs, identifying and resolving performance issues proactively.
• Administer containerized environments using Docker and Kubernetes, including deployment management, cluster maintenance, rollouts, and troubleshooting production issues.
• Design and maintain reliable CI/CD pipelines leveraging Jenkins and GitHub Actions to streamline software deployments.
• Implement continuous monitoring, logging, and alerting frameworks using tools like Prometheus, Grafana, ELK Stack, and AWS CloudWatch for proactive incident detection and resolution.
• Automate infrastructure provisioning and configuration through tools such as Terraform and Ansible.
• Monitor cloud expenses, pinpoint inefficiencies, and deploy cost reduction strategies without compromising on system performance or uptime.
• Oversee Linux server environments, perform advanced troubleshooting, root-cause analyses, and establish preventive tactics.
• Enforce infrastructure security best practices, manage IAM and access policies, and maintain compliance with relevant standards.
• Develop automation utilities with Python and Bash scripting to enhance operational efficiency and reduce manual workload.

Required Qualifications

• Bachelor's degree in Computer Science, IT, or related technical discipline.
• Between 3 to 6 years of hands-on experience in DevOps, Site Reliability Engineering, or cloud infrastructure management.
• Deep expertise in AWS infrastructure and services.
• Proven ability to manage production environments configured for high availability with components like Auto Scaling Groups and Load Balancers.
• Extensive experience with container technologies such as Docker and orchestration platforms like Kubernetes in production setups.
• Experience designing and operating CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.
• Proficiency with Infrastructure as Code tools such as Terraform and Ansible.
• Strong knowledge of Linux system administration, networking concepts including DNS, TCP/IP, SSL, and security setups.
• Hands-on experience with monitoring solutions like Prometheus, Grafana, and AWS CloudWatch.
• Ability to script effectively in Python and Bash.
• Demonstrated capability to troubleshoot infrastructure incidents independently and maintain system reliability.
• Excellent problem-solving aptitude, ownership mentality, and collaboration with cross-functional teams.

Preferred Experience

• Management of large-scale, distributed, or highly available production systems.
• Background with GPU-accelerated infrastructure, AI/ML workloads, or real-time video and streaming applications.
• Familiarity with centralized logging tools such as the ELK Stack.
• Exposure to multi-cloud infrastructures including GCP and Azure.
• Understanding of enterprise-level security practices, audit logging, data isolation, and compliance standards like SOC 2 or ISO.
• Relevant AWS certifications such as Solutions Architect Associate or SysOps Administrator Associate are advantageous.

Ideal Candidate Profile

• Strong foundation in engineering with a proven track record managing production-grade infrastructure.
• Experience working in product-based, technology-driven, or rapidly growing organizations.
• Ability to independently own infrastructure components, diagnose complex issues, and drive continuous improvements.
• Technical proficiency spanning AWS, Kubernetes, CI/CD pipelines, and automation tools.
• Proactive and self-driven mindset focused on complete ownership rather than merely following instructions.

Why Work With TrueFan AI?

This role presents the opportunity to contribute to infrastructure powering enterprise-grade generative AI solutions utilized by some of India's largest enterprises. Employees will tackle challenging infrastructure scalability issues, collaborate with skilled engineering teams, and influence the reliability and performance of a fast-growing AI platform.