silotech.xyz is seeking a Senior DevOps Engineer with extensive experience in cloud infrastructure, CI/CD, and containerization. This hands-on role focuses on building and maintaining scalable, secure, and automated systems, with a strong emphasis on AI/ML workflows. The position is 100% remote and offers the opportunity to work on cutting-edge AI products.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Important Note:
To apply, please complete this form: https://forms.gle/2qnBkLFw4M2v1eez6
Do not email your CV — we only process applications submitted through the form.
About the Role:
We are looking for a skilled DevOps Engineer with solid experience in building and maintaining scalable, secure, and automated infrastructure. This role is hands-on and requires deep technical expertise in cloud platforms, CI/CD, containerization, infrastructure automation, and production-grade security. Experience working with AI agents, LLM-powered systems, or automated AI workflows is a strong advantage.
Key Responsibilities:
- Design, implement, and maintain CI/CD pipelines for staging and production environments.
- Manage and optimize cloud infrastructure (AWS, GCP, or Azure) for high availability, scalability, and cost efficiency.
- Build and manage Infrastructure as Code using Terraform, Pulumi, or similar tools.
- Implement and maintain monitoring, logging, and alerting systems (Prometheus, Grafana, ELK, Datadog).
- Develop secure, automated build, test, and deployment workflows.
- Lead containerization initiatives using Docker and orchestration with Kubernetes.
- Work with development teams to diagnose and resolve deployment, performance, and infrastructure issues.
- Maintain backup systems, disaster recovery procedures, and incident response processes.
- Enforce cloud security standards, IAM policies, and best-practice configurations.
- Support and optimize infrastructure for AI agents, LLM workflows, model deployment, and vector database operations.
- Collaborate with engineering teams using TypeScript and React Native codebases.
- Utilize AI-powered development tools such as Cursor and Windsurf to enhance productivity, automation, and code quality.
Required Qualifications:
- 3+ years experience as a DevOps Engineer, SRE, or Infrastructure Engineer.
- Strong hands-on experience with AWS.
- Expert-level knowledge of Docker and Kubernetes.
- Proficiency with CI/CD systems (GitHub Actions, GitLab CI, Jenkins, CircleCI).
- Skilled in IaC tools (Terraform, Ansible, Pulumi).
- Strong Linux administration and shell environment knowledge.
- Experience with monitoring and logging systems (Prometheus, Grafana, ELK, Datadog).
- Solid understanding of networking fundamentals, firewalls, and security best practices.
- Scripting ability in Bash, Python, or Go.
- Experience with TypeScript-based environments and familiarity with React Native workflows.
- Experience working with AI agents, automated workflows, ML model deployment, or LLM infrastructure.
- Ability to use AI coding tools such as Cursor or Windsurf for accelerated development and workflow optimization.
Additional Requirements:
- AWS Certifications (e.g., AWS Certified DevOps Engineer – Professional).
- Experience with Kubernetes or other container orchestration platforms.
- Familiarity with Agile methodologies and collaborative workflows.
- Proficient in English, both written and verbal.
- Strong communication skills, able to explain technical concepts and problem-solving approaches clearly and effectively.
- Collaborative mindset with the ability to work well in cross-functional and remote teams.
- Self-motivated, detail-oriented, and capable of working independently with minimal supervision.
Benefits:
- Competitive salary
- Work on cutting-edge AI products
- 100% remote with flexible hours
- Impact-driven, startup culture
Apply now:
- Upload your Updated CV (PDF)
- Share links to your past projects
- Only applicants who complete the form will be contacted.
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