DevOps Engineer

Lucid Reality Labs
Summary
Join Lucid Reality Labs as a freelance DevOps Engineer and contribute to building, maintaining, and optimizing scalable infrastructure solutions. You will play a key role in improving deployment pipelines, ensuring system reliability, and enabling efficient collaboration. This position offers hands-on experience with spatial computing technology and the opportunity to disrupt global challenges with responsible technology. The role involves defining and implementing automated build pipelines, developing infrastructure definitions, establishing security policies, and implementing CI/CD pipelines. You will also be responsible for monitoring, logging, cost optimization, and conducting periodic infrastructure audits. Lucid Reality Labs offers flexible working hours and remote work options.
Requirements
- Proven experience with AWS and Azure (will be a plus) cloud platforms
- Hands-on expertise with Infrastructure as Code tools (Terraform, Ansible, CloudFormation, etc.)
- Strong proficiency in CI/CD tools (Git, Jenkins, GitHub Actions)
- Experience with containerization technologies and serverless architectures
- Familiarity with real-time monitoring, alerting (e.g., Prometheus, Grafana), and cost optimization strategies
- Excellent problem-solving and troubleshooting skills to resolve complex infrastructure issues
- Ability to manage tasks independently while also contributing actively and effectively within a team environment
- Fluency in English
Responsibilities
- Define and implement automated build pipelines targeting AWS and Azure environments
- Develop and maintain infrastructure definitions using YAML templates (CloudFormation/Terraform for AWS, ARM/Bicep for Azure)
- Establish and enforce organizational policies (IAM roles, resource tagging, network security groups) to uphold compliance and best security practices
- Review existing cloud infrastructure setups
- Develop equivalent Infrastructure as Code (IaC) templates to facilitate seamless transitions to on-premise setups
- Implement AWS Serverless Application Model (SAM) pipelines to package, test, and deploy Lambda functions and associated resources
- Build and manage end-to-end CI/CD pipelines integrating Git with build servers for automated validation, artifact generation, and deployment
- Enable rapid scaling with automated provisioning and CI/CD processes
- Embed integrations with third-party services such as Cloudflare (CDN/WAF) and centralized logging systems
- Deploy robust monitoring systems to provide real-time alerts on service health, latency, and error rates
- Set up centralized log aggregation for enhanced traceability and auditing
- Analyze resource utilization regularly to enforce rightsizing recommendations and implement cost optimization strategies to prevent budget overruns
- Conduct periodic infrastructure audits to identify performance bottlenecks, security vulnerabilities, and cost-saving opportunities
- Continuously refine IaC templates, CI/CD pipelines, and monitoring rules to enhance reliability, agility, and operational efficiency
- Accelerate time-to-market with serverless and containerized solutions, ensuring future migration flexibility
Benefits
- Flexible working hours of remote work
- Open-minded and outside-the-box ideas embodied in life
- Award-winning and diverse team to grow together
- Minimum bureaucracy and a great working environment
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