Intermediate AI-Enabled DevOps Engineer

What you'll be doing day to day

Infrastructure & Platform Support

• Implement and maintain cloud infrastructure using infrastructure-as-code.
• Support and improve CI/CD pipelines for application and ML workloads.
• Operate containerized workloads in Kubernetes or managed container platforms.
• Assist in rolling out platform improvements and infrastructure changes.

Automation & AI Exposure

• Automate repetitive operational tasks using scripts and tooling.
• Assist with deploying and monitoring AI/ML workloads.
• Use AI-assisted tools to improve Log analysis and alert triage, Incident investigation and documentation, Deployment validation and testing.

Reliability & Operations

• Participate in on-call rotations
• Respond to and help resolve environment & CI/CD pipeline incidents.
• Monitor system health using dashboards, logs, and alerts.
• Contribute to post-incident reviews and follow-up actions.

Collaboration & Learning

• Follow and contribute to established DevOps standards and practices.
• Document procedures, runbooks, and operational knowledge.
• Strong interest and motivation to grow technical skills.

What you'll bring

Solid Technical Foundation

• Working knowledge of cloud infrastructure and Linux-based systems.
• Proven experience with CI/CD, and containers.
• Focus in reliability, scalability, and operational excellence.
• Automation experience, reducing repetitive operational tasks.

Growth Mindset

• Willingness to learn new tools and technologies, including AI-enabled platforms.
• Openness to feedback and continuous improvement.
• Ability to communicate clearly and ask good technical questions.

Skills and experience we’re looking for

Must-haves

• 2-4+ years of experience in DevOps, Cloud, SRE, or Infrastructure Engineering.
• Experience with at least one cloud provider (Azure, AWS, or GCP )
• Hands-on exposure to:
• Scripting experience (Bash, Python, or similar)
• Infrastructure as Code (Terraform, IaC 2.0, or similar)
• CI/CD pipelines
• Containers (Docker) and Kubernetes concepts
• Monitoring, logging, and alerting tools.

Nice-to-haves

• 2+ years in healthcare technology or other highly regulated SaaS environments (financial services, government)
• Familiarity with AI-driven monitoring or AIOps tools.
• Experience using AI-assisted development or operations tools.
• Understanding of cloud networking and security fundamentals.
• Experience supporting on-call.

Education

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field
• Advanced certifications (AWS/GCP/Azure professional-level, CKA, CKS, CISSP) are highly valued
• Demonstrated commitment to continuous learning