Cloud Edge Systems Reliability Engineer
hace 3 semanas
About Us
Cambio Ai Inc. is a cutting-edge technology company focused on building innovative solutions for the future of Edge computing.
The Role
We are seeking an experienced System Reliability Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, implementing, and maintaining scalable and reliable infrastructure solutions for our Edge computing platform.
Your Responsibilities
- Collaborate with cross-functional teams to ensure efficient deployment, monitoring, and troubleshooting of our applications and services.
- Design and implement automation tools and processes to improve system reliability and performance.
- Develop and manage our metal-servers infrastructure.
- Establish and enforce best practices for infrastructure management, security, and disaster recovery.
- Proactively identify and mitigate potential risks and performance bottlenecks.
- Create and maintain detailed documentation for the systems and processes under your responsibility.
Requirements
We are looking for a skilled Site Reliability Engineer with:
2+ years of experience in site reliability engineering, DevOps, or related roles.Experience with Linux server administration.Proven experience with cloud platforms (AWS, GCP, Azure).Strong knowledge of infrastructure automation tools (Terraform, Ansible, Puppet, Chef).Proficiency in at least one programming language (Python, Go, Java, or similar).Familiarity with monitoring and alerting tools (Prometheus, Grafana, ELK stack, etc.).Bonus Points
- Experience with Edge computing platforms and related technologies (Rust or Wasm).
- Familiarity with Serverless architectures and Lambda functions.
- Knowledge of networking, security, and distributed systems concepts.
- Familiarity with CI/CD processes and tools.
- Experience with Nix / NixOS.
What We Offer
We offer a competitive salary of $120,000 per year, a generous vacation policy, flexible and remote work policies, a monthly fitness stipend, a monthly stipend for open-source contributions, and economic support for skills development, continuous learning, and attending conferences.
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