Summary
✨ AI‑Generated
A technology organization is seeking a Senior Cloud and DevOps Engineer to design and operate secure cloud-native platforms. The role involves Kubernetes, automation, CI/CD, infrastructure management, and support for machine learning workloads.
Highlights
Build large-scale cloud platforms supporting data and machine learning workloads with modern DevOps practices.
Description
Senior Cloud & DevOps Engineer (ML Infrastructure)
Sunnyvale, CA/Austin, TX USA (Onsite)
Fulltime
Description:
We are seeking a highly skilled Senior Cloud & DevOps Engineer to design, build, and operate scalable cloud-native platforms that support modern data, machine learning, and application workloads.
The ideal candidate will have strong expertise in Kubernetes, cloud infrastructure, Linux systems, and distributed data platforms, along with hands-on experience building secure and reliable CI/CD and platform automation solutions.
Key Skills
Cloud: AWS, Azure, GCP
Containers & Orchestration: Kubernetes, Docker, Helm
Languages: Go, Java
Operating Systems: Linux Administration & Internals
Data & Streaming: Kafka, Spark, Flink
Security: IAM, Cloud Security, Secrets Management
DevOps: CI/CD, IaC, Automation, Monitoring
ML Exposure: MLOps, Model Deployment, ML Infrastructure
Preferred Qualifications
Exposure to Machine Learning platforms, MLOps, or AI infrastructure.
Experience with Terraform, Helm, ArgoCD, GitHub Actions, or Jenkins.
Knowledge of monitoring and observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry.
Experience supporting large-scale distributed systems in production.
Cloud certifications (AWS, Kubernetes, or equivalent) are a plus.
Required Qualifications
Bachelor’s degree in computer science, Engineering, or a related technical field.5-7 years of experience in Software Engineering, Platform Engineering, SRE, or DevOps roles.3-4 years of hands-on experience with AWS or other cloud platforms (Azure/GCP).3-4 years of experience deploying and operating Kubernetes in production environments.Strong programming experience in Go and/or Java.Deep understanding of Linux internals, system administration, troubleshooting, and networking concepts.Experience with cloud IAM, security best practices, secrets management, and access control.Hands-on experience with at least one big data technology such as Apache Spark, Apache Flink, and messaging platforms like Apache Kafka.Experience with containerization technologies such as Docker.Strong understanding of CI/CD pipelines, automation, and Infrastructure as Code.
