DevOps Engineer - Cloud Infrastructure and Full-Stack Development
We're looking for a DevOps Engineer to own cloud infrastructure and deployment pipelines, with opportunities to grow into full-stack contributions. The ideal candidate has hands-on DevOps/infrastructure experience and a genuine interest in expanding beyond traditional DevOps into full-stack engineering. Our team is fully remote and flexible, with a supportive environment for continuous learning and skill development.
Key Highlights
Technical Skills Required
Benefits & Perks
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
- 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
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
COMPENSATION
Competitive contract rates based on experience. Contract length and terms negotiable based on project needs and availability.
TO APPLY
Send your CV and a brief note covering:
- Your most complex Kubernetes deployment and how you handled a production issue
- How you'd architect CI/CD for a microservices app with multiple services
- What technologies you're excited to learn and why
- Your experience or interest in AI-assisted development
- Your availability and preferred contract structure (hourly/monthly, duration)