Role overview

Senior AI-Enabled DevOps Engineer

Requirements and responsibilities

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Details

  • Design, implement, and operate cloud-native infrastructure for production workloads.- Build and maintain CI/CD pipelines for applications and ML systems.- Develop and manage infrastructure-as-code to ensure consistency, scalability, and repeatability.- Improve deployment reliability through automation, testing, and rollout strategies.- Support AI/ML workloads, including model deployment, scaling, and monitoring.- Integrate AI-assisted tools into DevOps workflows to improve:
  • 5-8+ years of progressive experience designing and implementing large-scale, automated infrastructure and CI/CD Pipelines- Strong experience with cloud platforms (AWS, GCP, or Azure).
  • Hands-on expertise in:- cloud-native architectures and microservices.- Infrastructure as Code (Terraform, IaC 2.0, etc.)

- Alert quality and noise reduction

  • Incident triage and root-cause analysis- Capacity planning and performance optimization- Design and maintain observability solutions using metrics, logs, and traces.- Participate in on-call rotations and lead incident response for complex issues.- Continuously improve system resilience through proactive automation.- Partner with application, platform, and data teams to deliver reliable systems.- Provide technical guidance and code reviews for devops team members.- Contribute to architecture discussions and influence technical direction within your domain.- Document standards, runbooks, and best practices.- Participate in on-call rotations

What you'll bring:

  • Strong Hands-On Expertise- Ability to own systems from design through production support. Design and setup end to end CI/CD Pipelines.- Practical understanding of distributed systems and cloud infrastructure.- Bias toward automation, observability, and operational excellence.- Growth-Oriented Leadership- Willingness to mentor and support teammates.- Comfort collaborating across functions and advocating for better practices.- Ability to communicate trade-offs clearly and constructively.- Strong knowledge of containerization and orchestration (Docker, Kubernetes).- Experience with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog).- Solid understanding of networking, security principles, and high-availability architectures.- Strong problem-solving skills and ability to work in complex, distributed environments.

- Containers and Kubernetes

  • CI/CD systems (GitHub Actions, GitLab CI, Jenkins, ArgoCD)- Strong knowledge-level of CI/CD best practices, GitOps workflows and deployment strategies (blue/green, canary)- Proficiency in scripting or programming (Python, Bash, Go, etc.).- Demonstrated ability to write custom scripts for deployment, monitoring and system tasks.- Experience with monitoring, logging, and alerting tools.

- Exposure to AI/ML workloads.

  • Experience with AI-driven monitoring or AIOps tools
  • Knowledge of cloud cost optimization strategies.
  • Advanced certifications: AWS Certified DevOps Engineer-Professional, Microsoft Certified DevOps Engineer Expert, Certified Kubernetes Administrator (CKA)
  • Experience with security automation and DevSecOps practices. Education
  • 3+ years in healthcare technology or other highly regulated SaaS environments (financial services, government)- Experience with AI-driven monitoring or AIOps tools.- Knowledge of cloud cost optimization strategies.- Advanced certifications: AWS Certified DevOps Engineer-Professional, Microsoft Certified DevOps Engineer Expert, Certified Kubernetes Administrator (CKA)- Experience with security automation and DevSecOps practices.
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Browse stack
FocusDevOps EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, Azure, CI/CDPrimary skills
Location1 accepted countryEligibility

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