Employment Opportunity - Senior AI Engineer

Job Summary

• You will ensure the availability, resilience, and performance of the Azure AI cloud platform and Red Hat OpenShift–powered RE: AI platform. Lead incident response, cybersecurity operations, and collaborate with teams to embed monitoring and security best practices in AI/ML workflows.

Responsibilities

• Optimize performance of the Red Hat OpenShift–powered RE:AI cloud platform using observability and tuning tools

• Monitor availability and detect outages on the Azure AI cloud platform to maintain continuous service uptime

• Lead incident response and conduct root cause analysis to resolve platform issues and minimize downtime

• Design and implement disaster recovery strategies to ensure business continuity

• Manage cybersecurity operations including vulnerability management, threat detection, and enforcement of access controls

• Support security audits and compliance reporting aligned with policies, regulatory frameworks, and industry best practices

• Collaborate with developer teams to integrate monitoring, automation, and security best practices into AI/ML workflows

• Drive continuous improvement initiatives focused on automation, observability, and operational excellence

• Apply infrastructure-as-code tools (Terraform, Bicep, ARM) and automation scripting (PowerShell, Python) to streamline platform operations

• Operate cloud security tools such as IAM, SIEM/SOAR, firewalls, and endpoint detection systems to protect platform integrity

Required competencies and certifications

• Bachelor’s degree in Computer Science, Engineering, or a related field

• 4-6 years of experience in cloud administration and/or operations

• Expertise in Azure operations and monitoring services including Azure Monitor, Log Analytics, and Application Insights

• Hands-on experience with Red Hat OpenShift observability and performance tuning using built-in monitoring and logging tools

• Strong skills in incident management, site reliability engineering (SRE) practices, and disaster recovery design

• Practical experience with cloud security operations including IAM, SIEM/SOAR, vulnerability management, firewalls, and endpoint detection

• Knowledge of security compliance frameworks such as ISO 27001, CIS, and NIST

Preferred competencies and qualifications

• Familiarity with AI/ML infrastructure components including AKS, GPU VMs, data pipelines, and model hosting

• Demonstrated problem-solving, communication, and leadership skills in high-pressure incident scenarios

• Ability to anticipate failure scenarios and develop effective response plans