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Smallest.ai

DevOps Engineer

Posted 16 Days Ago
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Entry level
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Entry level
Build and operate reliable AWS infrastructure and Kubernetes environments across production systems. Responsibilities include Terraform automation, CI/CD with GitHub Actions, Helm and Argo CD deployments, Docker management, observability, AWS networking, messaging and database infrastructure support, frontend delivery, scripting, incident response, and postmortems. The role emphasizes ownership, automation, production debugging, reliability engineering, and SLO, SLI, and error-budget practices.
The summary above was generated by AI
 
 
DevOps Engineer
 
 
About the Role

We’re looking for a hands-on DevOps and Site Reliability Engineer who enjoys building systems that run reliably in production.

You’ve seen early-stage chaos, fast scale-ups, or have built serious infrastructure on your own. You understand that reliability is earned through ownership, automation, and clean engineering — not titles or years of experience.

You will take approved system architecture and turn it into real, working infrastructure, translating High-Level Designs (HLD) into practical, battle-tested Low-Level Designs (LLD).

This is a deeply execution-focused role.

You will work on production systems every day — deploying, scaling, observing, fixing, and improving them continuously.

At Smallest, infrastructure is not a support function — it is the product.

 
 
What We Care About (More Than Experience)

We do not care about years of experience.

We care about:

  • Your understanding of our platform. This is important.

  • Your approach towards client satisfaction

  • Your ability to design and operate systems that don’t fall over

  • Your instinct to determine what to automate and when to automate

  • Your understanding of how systems behave under real traffic

  • Your willingness to take ownership when production breaks

  • Your ability to debug calmly, fix permanently, and document clearly

  • You are flexible and agile

If you’ve learned these skills through startups, side projects, homelabs, open source, or real production failures — you’re qualified.

 
 
Key Responsibilities
  • 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

 
 
Required Skill Set
  • 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

 
 
Mindset We Value
  • High ownership and accountability

  • Comfort working in ambiguity

  • Automation-first thinking

  • Reliability over velocity without safety

  • Strong bias toward learning from failures

If you have the need for speed, action bias, enjoy building infrastructure that scales, fixing real production problems, and making systems boringly reliable — this role is for you.

 
 


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