DevOps Engineer - Cloud Infrastructure & AI Integrations

drifting desk llc • Sri Lanka
Remote
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AI Summary

We're seeking a DevOps Engineer to own cloud infrastructure and deployment pipelines for our AI-driven communication platforms. The ideal candidate will have 3+ years of hands-on DevOps experience and a strong AWS expertise. The role offers opportunities for growth into full-stack contributions and learning AI-assisted development tools.

Key Highlights
Build and maintain AWS infrastructure (EC2, RDS, IAM, VPC, S3, CloudWatch)
Set up and optimize CI/CD pipelines for microservices architecture
Deploy and manage Kubernetes workloads (EKS) and implement monitoring, logging, and alerting systems
Technical Skills Required
AWS (EC2, RDS, IAM, VPC, S3, CloudWatch) Kubernetes (EKS) CI/CD pipelines (GitHub Actions, GitLab CI) Docker containerization Linux system administration Bash scripting Git workflow Java Spring Boot React React Native MongoDB
Benefits & Perks
Fully remote, flexible working arrangement
Opportunity to grow from DevOps specialist into full-stack engineer
Learn cutting-edge AI-assisted development workflows
Collaborate with experienced distributed engineering team
Supportive environment for continuous learning and skill development

Job Description


ABOUT DRIFTING DESK LLC

We're a product development company building AI-driven communication platforms for industry-specific applications. We work with distributed teams and focus on scalable, production-grade infrastructure that supports real-time AI integrations.


THE ROLE

We're looking for a DevOps Engineer who can own cloud infrastructure and deployment pipelines while growing into full-stack contributions alongside the team. Your primary focus will be DevOps, but you'll have opportunities to learn and contribute across our technology stack as you become familiar with the codebase.

This is a hands-on engineering role for someone who's curious, eager to expand their skillset, and interested in working with AI-assisted development tools.


WHAT YOU'LL DO

Infrastructure & DevOps (Primary Focus)

  • Build and maintain AWS infrastructure (EC2, RDS, IAM, VPC, S3, CloudWatch)
  • Set up and optimize CI/CD pipelines for microservices architecture
  • Deploy and manage Kubernetes workloads (EKS)
  • Implement monitoring, logging, and alerting systems
  • Automate deployment processes and infrastructure provisioning
  • Troubleshoot production issues and optimize performance
  • Document infrastructure decisions and operational procedures

Development Contributions (Growth Area)

  • Learn and contribute to backend services using Java Spring Boot
  • Gradually pick up frontend work with React
  • Support mobile app development with React Native over time
  • Collaborate on API integrations and microservices architecture
  • Use AI-assisted development tools (Claude Code) to accelerate learning
  • Participate in code reviews and technical discussions


YOU SHOULD HAVE

DevOps & Infrastructure (Required)

  • 3+ years hands-on DevOps/infrastructure experience
  • Strong AWS expertise (EC2, RDS, IAM, networking, S3)
  • Production experience with Kubernetes (EKS strongly preferred)
  • Solid CI/CD pipeline experience (GitHub Actions, GitLab CI, or similar)
  • Comfortable with Docker containerization
  • Linux system administration and Bash scripting
  • Git workflow proficiency

Development Foundation (Nice to Have)

  • Basic understanding of backend development (Java, Spring Boot, or similar frameworks)
  • Familiarity with frontend frameworks (React, Vue, or similar)
  • Understanding of RESTful APIs and microservices patterns
  • Experience with MongoDB or NoSQL databases
  • Willingness to learn is more important than expertise

Mindset & Approach

  • Genuine interest in expanding beyond traditional DevOps into full-stack engineering
  • Comfortable using AI-assisted development tools to learn new technologies
  • Self-motivated learner who can pick up new frameworks and languages
  • Strong problem-solving skills and curiosity about how systems work end-to-end
  • Able to work independently while collaborating with a distributed team
  • Comfortable with remote, asynchronous work environments

 

BONUS POINTS

  • Experience with GPU infrastructure or AI/ML workloads
  • Terraform or infrastructure-as-code tools
  • Experience with Keycloak or OAuth2 implementations
  • Previous startup or early-stage company experience
  • Experience with real-time communication systems (Twilio, WebSockets, etc.)
  • Familiarity with AI development tools or LLM-assisted coding


WHY WORK WITH US

  • Fully remote, flexible working arrangement
  • Opportunity to grow from DevOps specialist into full-stack engineer
  • Learn cutting-edge AI-assisted development workflows
  • Work with modern technology stack and AI integrations
  • Direct impact on product architecture and infrastructure
  • Collaborate with experienced distributed engineering team
  • Supportive environment for continuous learning and skill development




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