Job Description

This role is for one of the Weekday's clients

Salary range: Rs 2000000 - Rs 3500000 (ie INR 20-35 LPA)

Min Experience: 3 years

Location: Remote (India)

JobType: full-time

We are looking for a DevOps / Site Reliability Engineer to take full ownership of infrastructure and platform operations in a fast-scaling, AI-first environment. This role is central to building a secure, scalable, and cost-efficient cloud-native ecosystem while enabling fast and reliable deployments. You will focus on automating infrastructure, improving system reliability, and embedding intelligent, AI-driven operations into DevOps workflows. As a key contributor, you will work closely with backend and product teams to ensure seamless performance, reduce operational risks, and support rapid growth. This is a high-impact role with the opportunity to shape platform architecture, drive efficiency, and contribute to next-generation engineering practices.

Requirements

Key Responsibilities

• Design, implement, and manage scalable cloud infrastructure using AWS services such as ECS/Fargate, RDS, S3, and IAM
• Build and maintain infrastructure as code using Terraform for consistent and automated deployments
• Develop and manage CI/CD pipelines using GitHub Actions to ensure fast and reliable releases
• Implement observability and monitoring systems using tools like Prometheus, Grafana, OpenTelemetry, and Sentry
• Manage containerized environments using Docker and optimize performance under high-load conditions
• Drive cost optimization initiatives across cloud infrastructure
• Integrate AI-driven solutions into DevOps workflows, such as automated log analysis and predictive scaling
• Collaborate with engineering teams to improve system performance, scalability, and reliability
• Ensure infrastructure security, compliance readiness, and best practices
• Continuously improve deployment pipelines, reduce downtime, and enhance system resilience

What Makes You a Great Fit

• 2–3+ years of experience in DevOps, SRE, or backend infrastructure roles
• Strong hands-on experience with AWS infrastructure and cloud-native architectures
• Expertise in Terraform and infrastructure as code practices
• Proven experience with CI/CD pipelines and containerization tools like Docker
• Strong understanding of observability, monitoring, and incident management
• Experience troubleshooting and optimizing systems under production load
• Exposure or strong interest in integrating AI/LLMs into DevOps workflows
• Knowledge of security, compliance standards (SOC 2, GDPR), and infrastructure best practices
• Familiarity with multi-cloud environments (GCP, Azure) is a plus
• Strong ownership mindset, problem-solving ability, and clear communication skills