3+ years in production operations (DevOps, SRE, Platform Engineering, or similar)
Strong systems thinking and operational discipline
Experience with monitoring, logging, and alerting tools
Solid understanding of access control and permissions management
Comfortable with incident response and troubleshooting
Process-oriented with strong documentation habits
Willingness to learn AI/RAG systems on the job
Nice to Have: Exposure to LLM-based systems or RAG pipelines
Experience with agent frameworks or workflow orchestration
Background in regulated or compliance-sensitive environments
Familiarity with Kubernetes, Terraform, or cloud platforms

Benefits

Flexible Work Schedule: Enjoy a non-linear workday designed to enhance productivity and maintain a harmonious work-life balance, with core hours for team collaboration
Professional Growth: Access advanced training opportunities in data science and machine learning to boost your career prospects
Innovative Projects and Tools: Engage in cutting-edge projects using the latest tools and technologies within a progressive remote work environment
Competitive Income: Receive a competitive income with regular performance reviews and potential raises every six months
Global Team Dynamics: Collaborate with a diverse, international team that values openness and teamwork
Fully Remote Environment: Work from anywhere with normal business hours and flexibility, no on-call rotation, and no planned travel requirements
Gradual Onboarding: Start part-time with a planned transition to full-time as you get up to speed with our systems and processes

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI agentsmulti-agent workflowsaccess controlpermissions managementmonitoring toolslogging toolsalerting toolsincident responseworkflow orchestrationKubernetes

Soft Skills

systems thinkingoperational disciplinetroubleshootingdocumentation habitsprocess-orientedwillingness to learn