Sr. Data Engineer

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.

$/yr – $/yr

• 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.

• 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.

• 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.

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.

Associate

Full-time

Semiconductor Manufacturing