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.
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
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