DevOps & AI Infrastructure Engineer

Worldwide | Oct. 9, 2026

Report as Closed

Company: Crost AI

Country: Worldwide

Salary: $24,000 - $30,000

Type: Remote

Employment: Full-time

Description: Crost AI builds and operates AI-powered software, custom e-commerce platforms and automation infrastructure. None

• Advanced English proficiency (CEFR C1 or higher), with the ability to discuss technical issues clearly on calls and write clear documentation and work updates.
• Hands-on experience deploying and maintaining production applications.
• Strong working knowledge of Linux, Docker, Git, and CI/CD.
• Practical understanding of networking, DNS, SSL, reverse proxies, and application hosting.
• Experience administering PostgreSQL, Redis, or comparable services.
• Ability to write scripts and automate tasks using Bash, Python, JavaScript, or similar languages.
• Familiarity with AI coding agents and an interest in building repeatable workflows around them.
• Ability to troubleshoot problems systematically and verify changes before considering work complete.
• Sound judgment around credentials, access permissions, backups, and production changes.
• Experience administering cloud-hosted and self-hosted infrastructure, including server setup, updates, patching, and ongoing maintenance.
• Understanding of firewalls, VPNs, SSH, and secure remote access.
• Practical knowledge of storage, persistent volumes, backup retention, and restoring services and data.
• Ability to monitor system health and diagnose CPU, memory, disk, network, and service failures.
• Ability to assess resource requirements and manage infrastructure capacity and costs.
• Clear communication and the ability to turn agreed goals into working, documented implementations.

Crost AI builds and operates custom applications and ecommerce platforms for businesses. We’re a small team that uses AI extensively in software development.

We’re hiring a full-time engineer to help strengthen the infrastructure behind our client applications and our internal operations. This includes deployments, CI/CD, monitoring, databases, servers, and self-hosted tools.

We also want to establish consistent AI-assisted development workflows across projects, covering task execution, agent coordination, pull request review, testing, and feedback.

You’ll work directly with the founder, implementing projects based on agreed priorities and direction while contributing practical ideas and improvements.

• Deploy and maintain client applications across development, staging, and production environments.
• Build and improve CI/CD pipelines, deployment automation, and rollback procedures.
• Manage containers, databases, networking, DNS, SSL certificates, secrets, and access controls.
• Set up monitoring, logging, alerts, backups, and tested recovery procedures.
• Maintain internal Linux servers, development environments, and self-hosted services.
• Help design and implement reusable AI-assisted development workflows for coding, testing, pull request review, and addressing feedback.
• Connect AI agents and development tools with repositories, CI/CD pipelines, and internal systems.
• Improve visibility into automated workflows, including progress, failures, and work requiring human input.
• Troubleshoot infrastructure and deployment issues alongside developers.
• Document configurations and procedures so successful setups can be reused across projects.

Success means reliable applications, repeatable deployments, well-maintained internal systems, and development workflows that require less manual coordination.

• Full-time, ongoing role.
• Fully remote.
• Work directly with the founder on priorities and implementation.
• Opportunity to shape our infrastructure and AI development practices across multiple projects.

• Experience with Northflank, Railway, Buildkite, GitHub Actions, or Infisical.
• Experience coordinating AI agents or automating development and code review workflows.
• Familiarity with MCP, APIs, webhooks, and integrations between development tools.
• Experience managing physical servers, virtualization, and self-hosted infrastructure.
• Familiarity with infrastructure as code and reusable environment configuration.
• Working knowledge of Node.js and TypeScript applications.
• Experience deploying and running AI/ML models on self-hosted GPUs, including model serving, GPU configuration, and performance and resource optimization.

Apply here:

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