Senior Devops Engineer

About Us

We are a fast-growing AI startup building enterprise AI products across multiple domains. We are developing scalable, production-grade, AI-powered products from the ground up. We are looking for a hands-on DevOps Engineer to help build and strengthen the infrastructure that powers our products as we scale.

This is a high-ownership role for someone who enjoys building reliable infrastructure, automating deployments, solving complex production problems, and making practical architectural decisions.

Role Overview

• Design, implement, automate, and maintain our AWS cloud infrastructure and deployment ecosystem.
• Build and maintain Kubernetes infrastructure using Amazon EKS.
• Develop robust CI/CD pipelines and deployment automation.
• Improve engineering productivity by making deployments faster, safer, and more reliable.
• Take ownership of infrastructure and production operations from development through deployment and beyond.

Key Responsibilities

• Design, deploy, and maintain scalable AWS cloud infrastructure.
• Build, configure, and manage Amazon EKS / Kubernetes clusters.
• Manage AWS services including:
• Amazon EC2
• Amazon EKS
• Amazon RDS
• Amazon ECR
• Amazon S3
• Amazon Route 53
• IAM
• Build and maintain automated CI/CD pipelines.
• Develop infrastructure and automation scripts using Python.
• Create, maintain, and optimize Helm Charts for Kubernetes deployments.
• Containerize applications using Docker and manage production deployments on Kubernetes.
• Work with Concourse or similar CI/CD platforms.
• Build and maintain monitoring, alerting, and observability using:
• Prometheus
• Grafana
• Elasticsearch
• Monitor infrastructure and application performance and proactively identify potential issues.
• Troubleshoot and resolve:
• Production incidents
• Kubernetes issues
• Networking issues
• Deployment failures
• Database issues
• Container-related problems
• Infrastructure issues
• Implement infrastructure security, access controls, backups, disaster recovery, and operational best practices.
• Improve system availability, deployment speed, infrastructure reliability, and cloud cost efficiency.
• Collaborate closely with engineering teams working with TypeScript, NestJS, Python, FastAPI, and Google APIs.
• Create and maintain technical documentation, runbooks, and standard operating procedures.
• Participate in infrastructure architecture and technical planning as the organization scales.

Preferred Skills

• Amazon EKS
• Amazon EC2
• Amazon RDS
• Kubernetes
• AWS
• Docker
• Helm
• CI/CD
• Concourse
• Prometheus
• Grafana
• Elasticsearch
• Python
• Infrastructure Automation
• Cloud Security
• Production Support

Perks and benefits

• Food allowance
• Annual performance bonus
• Health insurance
• Opportunity to work on enterprise AI products
• High-ownership environment
• Professional growth opportunities