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DevOps Engineer

Smallest.ai - Bengaluru, India - In-office - posted 2026-10-01

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Smallest.ai is seeking a hands-on DevOps and Site Reliability Engineer to build and operate production infrastructure systems. This is a deeply execution-focused role where you will work on production systems daily—deploying, scaling, observing, fixing, and improving them continuously. At Smallest, infrastructure is not a support function; it is the product. You will take approved system architecture and translate High-Level Designs (HLD) into practical, battle-tested Low-Level Designs (LLD). The company values reliability earned through ownership, automation, and clean engineering rather than titles or years of experience. Key responsibilities include: - Implement and manage AWS-centric cloud infrastructure using Terraform - Operate Kubernetes (EKS) clusters across multiple environments - Build and maintain CI/CD pipelines using GitHub Actions - Deploy services using Helm and Argo CD (GitOps) - Implement canary, blue/green, and rolling deployments - Build and manage Docker images and registries - Configure monitoring, alerting, and logging using New Relic and CloudWatch - Manage AWS networking: VPCs, subnets, routing, ALB/NLB, security groups - Support RabbitMQ, Amazon SQS, Redis, and MongoDB infrastructure - Support frontend delivery using CloudFront and AWS Amplify - Write automation scripts in Bash, Python, or Go - Troubleshoot incidents and participate in postmortems The company values high ownership and accountability, comfort working in ambiguity, automation-first thinking, reliability over velocity without safety, and a strong bias toward learning from failures. REQUIREMENTS: - Strong hands-on experience with AWS and Kubernetes - Solid Linux and networking fundamentals - CI/CD pipeline design and ownership mindset - Production debugging and incident handling experience - Knowledge of SLOs, SLIs, and error budgets STRONG PLUS: - Startup or scale-up production exposure - DevOps/SRE side projects or homelabs - Open-source contributions in cloud-native ecosystem - Experience with cost optimization and capacity planning - Terraform-based infrastructure automation - Helm and GitOps-based deployment workflows

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