Senior Site Reliability Engineer

Site Reliability Engineer (SRE)

Company: TrueFan AI

Location: Gurugram, Haryana, India (On-site)

Employment Type: Full-time

Experience: 4-8 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 video 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.

About the Role

We are looking for a Site Reliability Engineer (SRE) to build, maintain, and improve highly available, scalable, secure, and reliable infrastructure and applications. The ideal candidate should have strong hands-on experience with cloud infrastructure, Kubernetes, Docker, CI/CD, observability, automation, and infrastructure as code.

Key Responsibilities

• Design, deploy, and manage scalable and highly available cloud infrastructure.
• Manage AWS services including EC2, CloudWatch, IAM, Auto Scaling Groups, Route 53, and related services.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Build, maintain, and improve CI/CD pipelines using tools such as Jenkins, GitHub Actions, Devtron, or similar technologies.
• Implement and maintain monitoring, logging, and observability solutions.
• Troubleshoot production issues related to performance, availability, scalability, and reliability.
• Develop automation to reduce repetitive operational tasks and manual intervention.
• Manage infrastructure using Terraform and follow Infrastructure as Code practices.
• Implement and maintain appropriate security controls, including IAM, RBAC, secrets management, least-privilege access, and SSL/TLS.
• Implement and optimize Auto Scaling, right-sizing, Spot Instances, Reserved Instances, and other cloud cost-optimization strategies.
• Manage DNS configuration and troubleshooting using services such as Route 53 and CoreDNS.
• Participate in incident management, root-cause analysis, and preventive action planning.
• Work closely with development and infrastructure teams to improve system reliability and deployment processes.

Required Skills

• Strong hands-on experience with AWS.
• Good understanding of EC2, CloudWatch, IAM, Auto Scaling, and Route 53.
• Strong experience with Kubernetes and Docker.
• Hands-on experience with CI/CD pipelines.
• Strong Linux administration and troubleshooting skills.
• Experience with Terraform / Infrastructure as Code.
• Experience with observability and monitoring tools such as Grafana, Kibana, New Relic, or equivalent.
• Programming/scripting experience, preferably Python, for automation.
• Understanding of networking and DNS concepts.
• Good understanding of cloud security, IAM, RBAC, secrets management, and least-privilege principles.
• Understanding of cloud cost optimization and resource management.

Preferred Qualifications

• Experience managing production-grade Kubernetes environments.
• Experience with ECS, Karpenter, Graviton, multi-architecture deployments, or similar technologies.
• Experience implementing custom Auto Scaling policies.
• Experience with production incident management and troubleshooting.
• Experience working in environments with high availability and scalability requirements.

Key Competencies

• Cloud Infrastructure & Reliability
• Kubernetes & Containerization
• CI/CD & Release Automation
• Observability & Monitoring
• Infrastructure as Code
• Cloud Security
• Automation & Scripting
• Performance & Cost Optimization
• Incident Management & Troubleshooting

Why Join Us

You will operate the infrastructure behind real-time AI products used by some of India's largest enterprises, working closely with senior backend, AI/ML, and DevOps engineers in a high-ownership team where your work is visible from day one.

Pay: ₹1,800,000.00 - ₹3,000,000.00 per year

Benefits:

• Health insurance

Ability to commute/relocate:

• Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• Will you be able to join us within or before 30 days?

Work Location: In person