SECTION I · THE BRIEF
Brief #19811Updated 02 OCT 2026BENGALURUAshbySOFTWARE COMPANIES
Employbl Company Profile

DevOps Engineer

Smallest.ai is a full-stack Voice AI platform purpose-built for enterprise deployment. From sales and support to collections and onboarding, their voice agents automate high-volume, high-stakes customer interactions…

Location
Bengaluru
Company size
5–20
Posted
Yesterday
Via
Ashby
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Hiring manager & team contextLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

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DevOps Engineer

Smallest AI· BengaluruView company profile


Job title
DevOps Engineer
Job location
Bengaluru
Job description
 
 

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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Smallest AI headquarters

San Francisco, CA

Company size

5–20 employees

Founded

2023

Total raised

$22,000,000

View company profile ↗

Funding rounds