DevOps Engineer

PRO IT USA • Contract • San Francisco Bay Area, US • 5m ago

Devops Software Engineer. Onsite every day 100% in Seattle.
2 openings.
Relocation is ok but we do not help with those costs.
Only H1B's
No Finance/banking background
Minimum 2 years of US Experience
Experience 7+

Key Responsibilities

Optimize Data Pipelines:
Build and refine data pipelines to track performance, generate insights, and support machine learning models for continuous system improvement.
Enhance Observability Tools: Develop monitoring and debugging tools for tracking and learning across global robotic deployments.
Integration and Validation: Test and validate new features on live robotic systems, ensuring they meet stringent performance and reliability standards.
Cross-Functional Collaboration: Work with experts across disciplines—including perception, hardware, and software—to create intelligent, integrated robotic solutions.
Kubernetes & Cloud Services: Deploy and manage containerized robotics applications using Kubernetes and AWS to ensure scalability and reliability.
Human-Machine Interface (HMI): Develop and optimize HMI systems for better robot interaction, monitoring, and control.
CI/CD & Automation: Implement and maintain CI/CD pipelines for efficient software deployment and iterative development.

About the Team

The team specializes in motion planning and control for high-performance, contact-seeking robotic manipulation. Focused on delivering robust solutions for large-scale deployments, the team is also developing tools and algorithms that will extend to future robotic applications.

Qualifications

Basic Qualifications

4+ years of professional software development experience (excluding internships).
4+ years of experience in system design or architecture (including design patterns, reliability, and scaling).
4+ years of experience programming in a modern language such as Java, C++, or C#, with a strong foundation in object-oriented design.
Bachelor’s degree in Computer Science or equivalent.
Expertise in robotics algorithms, particularly in control, perception, and motion planning.
Familiarity with Kubernetes, container orchestration, and deployment in cloud environments.
Experience developing HMI systems for robotic applications.
Proficiency with AWS services for scalable and cloud-based robotic applications.
Experience with CI/CD pipelines and automated software deployment.
Familiarity with version control systems and best practices.
Experience developing software for hardware systems that interact with the physical world, including robotics, autonomous vehicles, aerospace, or consumer devices.