Senior Cloud Engineer

Signify Technology; Austin (TX); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Health programs

Retirement plans

Employee discounts

Job summary

Signify Technology is looking for a Senior Cloud Engineer to manage Kubernetes clusters and develop PaaS features, ensuring operational excellence in a hybrid work environment in Austin, TX. Candidates should have strong skills in Kubernetes, GCP, and DevOps principles, with a Bachelor's in Computer Science preferred. This role involves handling sensor data, integrating cloud workloads, and ensuring reliability in safety-critical applications. Benefits include health programs and retirement plans.

Qualifications

• Strong skills in Kubernetes.
• Experience with Google Cloud Platform (GCP).
• Familiarity with DevOps principles.

Responsibilities

• Manage and optimize Kubernetes clusters.
• Develop self-service PaaS features.
• Ensure operational excellence in a hybrid environment.
• Design secure and efficient networking between environments.
• Handle huge volumes of sensor data (video, lidar, telemetry).
• Bridge edge (vehicle) systems with cloud infrastructure.
• Ensure low-latency and high-reliability systems for safety-critical applications.
• Integrate cloud workloads with on-prem or edge compute (vehicles, data centers).

Skills

Kubernetes

GCP

DevOps principles

Education

Bachelor's in Computer Science

Job description

Overview

You will manage and optimize Kubernetes clusters, develop self-service PaaS features, and ensure operational excellence in a hybrid environment. Design secure and efficient networking between environments. Handle huge volumes of sensor data (video, lidar, telemetry). Bridge edge (vehicle) systems with cloud infrastructure. Ensure low-latency and high-reliability systems for safety-critical applications. Integrate cloud workloads with on-prem or edge compute (vehicles, data centers).

Job title

Senior Cloud Engineer

Job type

Perm

Salary

170,000 - 230,000

Role Location

Austin, TX

The company

Automotive Manufacturer

Role And Responsibilities

• You will manage and optimize Kubernetes clusters, develop self-service PaaS features, and ensure operational excellence in a hybrid environment
• Designing secure and efficient networking between environments
• Handling huge volumes of sensor data (video, lidar, telemetry)
• Supporting ML pipelines (training, validation, deployment)
• Bridging edge (vehicle) systems with cloud infrastructure
• Ensuring low-latency and high-reliability systems for safety-critical applications
• Integrating cloud workloads with on-prem or edge compute (vehicles, data centers)

Job Requirements

• Ideal candidates will have strong skills in Kubernetes, GCP, and DevOps principles
• Bachelors in Computer Science preferred, but not required
• This is a hybrid role out of Austin, TX. The hybrid schedule is 3 days in office, 2 days from home.

Benefits

• Benefits include health programs, retirement plans, and employee discounts