DevOps Engineer

• Manage, operate, and troubleshoot production Kubernetes environments and workloads
• Build, maintain, and improve infrastructure using Terraform and Infrastructure as Code practices
• Manage application deployments, upgrades, configuration changes, and complex deployment lifecycles
• Work with GitOps-based deployment processes and tools such as Argo CD
• Develop and maintain Python scripts and tooling for platform automation and operational workflows
• Troubleshoot and resolve production incidents across infrastructure, applications, and platform services
• Improve platform reliability, scalability, observability, and operational efficiency
• Support Kubernetes scaling and autoscaling strategies for production workloads
• Collaborate with development and platform teams to resolve infrastructure and deployment challenges
• Participate in technical decisions and identify risks, reliability concerns, and improvement opportunities
• Maintain high engineering and quality standards, providing technical pushback when necessary
• Take ownership of platform initiatives and drive issues through resolution with minimal supervision

Senior Platform DevOps Engineer

• Own production infrastructure for AI systems, including clusters, deployment pipelines, and monitoring
• Provision, upgrade, network, and configure production Kubernetes clusters
• Build reproducible infrastructure as code with Terraform or equivalent and detect infrastructure drift
• Build and maintain reliable CI/CD pipelines and standardized container image workflows
• Implement monitoring and alerting, investigate incidents, determine root causes, and make preventive changes
• Provide infrastructure for AI workloads, including inference services and their scaling and cost profiles
• Analyze infrastructure costs and capacity needs, including projected costs at higher traffic levels
• Secure Linux, Kubernetes, containers, and service meshes, including secrets, access, and audit trails
• Develop internal tooling and documentation and support developers and QA during release cycles
• Work within client environments, repositories, cloud accounts, and change processes when required
• Operate within Azumo's SOC 2-certified environment and accommodate engagement requirements such as HIPAA
• Use AI-assisted engineering tools and automated codebase audits to assess security, cost, and architecture findings

Cloud DevOps Engineer

• Architect, build, and optimize scalable CI/CD pipelines in Azure DevOps and GitHub Actions for software services and AI models
• Provision and maintain secure, compliant Azure cloud infrastructure using Infrastructure as Code
• Implement MLOps and LLMOps practices to automate deployment, monitoring, and scaling of AI models and Azure OpenAI workloads
• Integrate AI-assisted developer tooling such as GitHub Copilot and Cursor, plus automated security checks into development pipelines
• Manage containerized deployments using Docker and Azure Kubernetes Service, ensuring high availability and optimal resource utilization
• Establish logging, telemetry, and alerting architectures using Azure Monitor and Application Insights
• Collaborate with engineering, data, and security teams to streamline release workflows and drive cost-optimization strategies
• Take technical ownership of enterprise CI/CD automation while scaling AI-powered applications and integrating AI productivity tools into software delivery
• Collaborate with software engineers, data scientists, and product teams to ensure high availability, security, and velocity across the Azure ecosystem

Senior Azure DevOps Engineer

• Maintain, troubleshoot, and support Linux and Windows server environments
• Monitor infrastructure health, availability, and performance
• Investigate and resolve production incidents and infrastructure issues
• Perform root cause analysis and help prevent recurring incidents
• Automate infrastructure and operational tasks using scripting and automation tools
• Participate in on-call and incident response activities when required
• Collaborate with infrastructure, DevOps, development, and other technical teams
• Maintain technical documentation and operational procedures

Senior SRE – Linux, Windows

• Drive operational excellence
• Implement robust Infrastructure as Code (IaC)
• Manage cloud-native environments powering AI/ML products
• Design and maintain CI/CD pipelines
• Orchestrate Kubernetes deployments, scaling, and networking
• Monitor systems, logging, and performance
• Collaborate cross-functionally on strategic initiatives

Senior DevOps

• Manage, troubleshoot, and optimize containerized applications and infrastructure on Kubernetes, Red Hat OpenShift, and OpenStack
• Serve as subject matter expert for cloud infrastructure technologies, advanced Linux/CentOS administration, Docker/containers, and complex networking
• Investigate and resolve complex, high-severity customer issues across the cloud stack
• Identify root causes and implement effective, durable solutions for customer incidents
• Prepare and conduct Root Cause Analysis for critical incidents
• Develop, test, and maintain Python and Ansible automation scripts
• Identify automation opportunities to reduce manual maintenance and deployment effort
• Provide end-to-end Escalation, Monitoring, and Emergency support as a final escalation point
• Liaise with customer and internal teams to understand requirements and deliver tailored technical solutions
• Stay current with cloud and containerization best practices and emerging technologies

• Design, build, and maintain scalable Azure infrastructure using Infrastructure as Code
• Develop and manage CI/CD pipelines to support automated deployments and release processes
• Monitor system performance, troubleshoot issues, and ensure high availability of environments
• Lead and support Azure infrastructure troubleshooting, production incident management, and root cause analysis to ensure service reliability and minimize downtime
• Collaborate closely with development and QA teams to improve build and release workflows
• Implement security best practices and compliance standards across cloud environments
• Create and maintain documentation for infrastructure, processes, and configurations
• Participate in incident management and root cause analysis when necessary
• Work closely with international teams for operational support and incident resolution

SSR DevOps Engineer, Azure

• Diseñar, implementar y optimizar pipelines de integración y despliegue continuo (CI/CD) para garantizar entregas ágiles y confiables
• Administrar, automatizar y mantener la infraestructura cloud mediante herramientas de Infraestructura como Código (IaC)
• Monitorear, analizar y optimizar el rendimiento, disponibilidad y estabilidad de los ambientes productivos
• Participar en proyectos tecnológicos desafiantes y contribuir a la innovación y mejora continua

Ingeniero DevOps

• Implementar prácticas DevSecOps y CI/CD en entornos AWS y On-Premise, asegurando integración continua y entrega continua
• Automatizar procesos de implementación y despliegue continuo, reduciendo tiempos y errores manuales
• Gestionar infraestructura como código (IaC) utilizando AWS CloudFormation, Terraform o Ansible
• Colaborar estrechamente con los equipos de desarrollo, integrando seguridad y buenas prácticas desde etapas tempranas
• Monitorear y optimizar entornos cloud mediante CloudWatch, CloudTrail e IAM

Ingeniero DevSecOps

• Provide technical support for Kubernetes clusters, Port.io platform services, and Medtronic’s Argo DevSecOps platform
• Resolve customer issues and ensure system reliability
• Monitor the health and performance of Kubernetes clusters, Port.io, and Argo environments using Dynatrace, Prometheus, Grafana, and Kibana
• Investigate and troubleshoot networking, storage, security, and application deployment issues within Kubernetes
• Collaborate with development and operations teams to improve platform stability and automate routine maintenance
• Troubleshoot container images for teams experiencing issues running containers
• Manage and optimize Helm charts, Argo CD, Flux CD, YAML configurations, and other deployment artifacts
• Configure and maintain GitLab CI runners
• Develop and maintain support-process documentation, troubleshooting guides, and best practices
• Ensure timely incident resolution and communicate status updates to stakeholders
• Participate in an on-call rotation providing 24/7 support coverage