DevOps Engineer

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.

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.

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  Implement and manage AWS-centric cloud infrastructure using Terraform

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  Operate Kubernetes (EKS) clusters across multiple environments

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  Build and maintain CI/CD pipelines using GitHub Actions

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  Deploy services using Helm and Argo CD (GitOps)

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  Implement canary, blue/green, and rolling deployments

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  Build and manage Docker images and registries

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  Configure monitoring, alerting, and logging using New Relic and CloudWatch

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  Manage AWS networking: VPCs, subnets, routing, ALB/NLB, security groups

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  Support RabbitMQ, Amazon SQS, Redis, and MongoDB infrastructure

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  Support frontend delivery using CloudFront and AWS Amplify

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  Write automation scripts in Bash, Python, or Go

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  Troubleshoot incidents and participate in postmortems

• 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

• 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

• High ownership and accountability

• Comfort working in ambiguity

• Automation-first thinking

• Reliability over velocity without safety

• Strong bias toward learning from failures