DevOps & Cloud Engineer

Talent Network Notice: This listing supports our ongoing worldwide talent pipeline for upcoming projects and future opportunities. It may not represent an immediate vacancy. Suitable candidates may be contacted when a relevant project becomes available.

Role Overview

We need infrastructure that can support a growing AI-enabled SaaS platform without making deployment or operations unnecessarily complex. As a DevOps & Cloud Engineer, you may help us improve containerization, deployment automation, observability, backups, security and capacity planning across our services.

What You'll Do

• Design and maintain reliable deployment workflows for web applications, APIs, workers and AI-related services.
• Build and improve containerized environments using Docker and appropriate orchestration or hosting approaches.
• Implement CI/CD pipelines, automated checks and safer release processes.
• Set up monitoring, logging, alerting, backups and recovery procedures for critical services.
• Improve infrastructure security, secrets management, access controls and environment configuration.
• Investigate performance bottlenecks and help plan capacity for traffic, storage and compute growth.
• Document operational procedures and reduce manual, error-prone infrastructure work.

What We're Looking For

• Hands-on experience with Linux, Docker and cloud or VPS-based deployment environments.
• Experience building CI/CD pipelines and managing production application releases.
• Understanding of networking, DNS, TLS, reverse proxies, storage, backups and system security basics.
• Ability to troubleshoot production systems using logs, metrics and structured investigation.
• Experience with infrastructure automation or configuration management.
• Strong awareness of reliability, rollback and disaster-recovery considerations.
• Comfort collaborating asynchronously with developers and technical stakeholders.

Nice to Have

• Kubernetes or lightweight orchestration experience.
• Terraform, Ansible or comparable infrastructure-as-code tooling.
• Experience operating AI inference or GPU/CPU-intensive services.
• Security hardening and observability platform experience.

How We Work & What We Value

• Take ownership — raise risks early, follow through on commitments and care about the final result.
• Communicate clearly — remote work depends on useful updates, good documentation and respectful collaboration.
• Keep learning — we expect tools, AI capabilities and product requirements to keep changing.
• Solve the real problem — challenge unnecessary complexity and suggest better approaches when you see them.
• Respect users and their data — career information is sensitive and should be handled responsibly.
• Work pragmatically — quality matters, but so do prioritization, iteration and delivering useful outcomes.

Engagement Details

| | | |---|---| | Work model | Worldwide remote. | | Engagement | Contract, project-based, hourly or another flexible arrangement depending on the project. | | Experience | We may consider junior, mid-level and senior professionals depending on the scope of the opportunity. | | Start timing | Upcoming projects and future opportunities; timing varies by project. | | Compensation | Role- and project-specific. Scope, rate/compensation, expected availability and deliverables are agreed before an engagement begins. | | Working pattern | Flexible where practical. Some projects may require agreed overlap hours, meetings, milestones or response windows. |

How to Apply

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2. Complete or review your candidate profile.
3. Upload your current CV, or create/improve one using our free CV Builder if you need an updated version.
4. Review your skills, experience and other application information, then submit your application.

Application review: We may use structured profile information and automated tools to help organize or evaluate applications. Automated scores or matching signals are supportive inputs only and do not guarantee an interview, project assignment or employment. Final decisions depend on the requirements of the relevant opportunity and appropriate review.

Equal Opportunity & Privacy

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