Ambarella Inc
We are seeking a
Sr. Data Engineer
to join our team and help maintain, improve, and scale our computing resources powered by Kubernetes (K8s). This role is ideal for someone who enjoys working with large-scale infrastructure, thrives in dynamic environments, and learns new technologies quickly.
Base pay range $150,000.00/yr – $165,000.00/yr
Responsibilities
Maintain and improve Kubernetes clusters to ensure high availability, scalability, and efficiency of computing resources.
Monitor, troubleshoot, and optimize cluster performance, networking, and storage.
Collaborate with engineers to support ML/AI workloads, distributed systems, and high-performance computing applications.
Automate repetitive tasks and develop tools to improve developer and operational workflows.
Stay up to date with Kubernetes ecosystem advancements and propose improvements.
Qualifications
Strong foundation in software engineering with experience in Kubernetes and containerized environments (Docker, containerd, etc.).
Solid programming skills in one or more languages (e.g., Python, Go, or similar).
Familiarity with Linux systems, networking, and data storage.
Ability to learn new technologies quickly and adapt to changing requirements.
Strong problem‑solving and debugging skills.
Nice to Have (Plus)
Prior experience running or experimenting with Kubernetes clusters at scale.
Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana).
Experience with infrastructure‑as‑code (e.g., Helm, Terraform, Ansible).
Exposure to ML/AI workloads, GPU scheduling, or distributed training frameworks.
Why Join Us Work with cutting‑edge infrastructure and AI/ML workloads. Opportunity to grow with a team building scalable, high‑performance systems. Collaborative culture with emphasis on learning, experimentation, and innovation.
Seniority level Associate
Employment type Full-time
Job function Semiconductor Manufacturing
#J-18808-Ljbffr
Sr. Data Engineer
to join our team and help maintain, improve, and scale our computing resources powered by Kubernetes (K8s). This role is ideal for someone who enjoys working with large-scale infrastructure, thrives in dynamic environments, and learns new technologies quickly.
Base pay range $150,000.00/yr – $165,000.00/yr
Responsibilities
Maintain and improve Kubernetes clusters to ensure high availability, scalability, and efficiency of computing resources.
Monitor, troubleshoot, and optimize cluster performance, networking, and storage.
Collaborate with engineers to support ML/AI workloads, distributed systems, and high-performance computing applications.
Automate repetitive tasks and develop tools to improve developer and operational workflows.
Stay up to date with Kubernetes ecosystem advancements and propose improvements.
Qualifications
Strong foundation in software engineering with experience in Kubernetes and containerized environments (Docker, containerd, etc.).
Solid programming skills in one or more languages (e.g., Python, Go, or similar).
Familiarity with Linux systems, networking, and data storage.
Ability to learn new technologies quickly and adapt to changing requirements.
Strong problem‑solving and debugging skills.
Nice to Have (Plus)
Prior experience running or experimenting with Kubernetes clusters at scale.
Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana).
Experience with infrastructure‑as‑code (e.g., Helm, Terraform, Ansible).
Exposure to ML/AI workloads, GPU scheduling, or distributed training frameworks.
Why Join Us Work with cutting‑edge infrastructure and AI/ML workloads. Opportunity to grow with a team building scalable, high‑performance systems. Collaborative culture with emphasis on learning, experimentation, and innovation.
Seniority level Associate
Employment type Full-time
Job function Semiconductor Manufacturing
#J-18808-Ljbffr