senior AWS DevOps and Infrastructure Engineer

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Join Our Client’s Team as a Senior AWS DevOps and Infrastructure Engineer!

We are looking for a Senior AWS DevOps and Infrastructure Engineer to join the Platform Engineering Team for a cutting-edge agrotech robotics startup based in Silicon Valley, California. Backed by a global machinery manufacturing leader, this innovative company has been pushing boundaries in robotics and computer vision machine learning for over a decade, driving safer and more sustainable solutions in agrotech and construction.

This fully remote position offers the chance to collaborate with a team building and maintaining a large-scale Data and ML Platform, enabling end-to-end product development. As the team expands platform adoption and integrates new solutions, you’ll play a key role in shaping tools, CI/CD pipelines, and infrastructure to support ML-driven product innovation.

Occasional on-site visits to California may be arranged for hands-on collaboration with the team and to experience the robots in action.

Your Responsibilities

• Design, build, and enhance internal tools, integrations, and CI/CD pipelines.
  
• Automate processes such as tenant onboarding and configuration.
  
• Contribute to hardware-in-the-loop testing.
  
• Develop a hybrid compute infrastructure abstraction layer over on-premises and cloud regions.
  
• Support platform scalability as it expands to additional product teams.
  

Requirements

Requirements

• Extensive experience with AWS platforms.
  
• Expertise in Kubernetes.
  
• Strong proficiency in Python (Go is a plus).
  
• Familiarity with data pipelines and machine learning pipelines in production.
  
• Understanding of IT and cybersecurity best practices, including data privacy standards.
  
• Strong problem-solving skills for troubleshooting complex issues.
  
• Excellent communication skills for collaborating with technical and non-technical stakeholders.
  
• Commitment to writing high-quality, well-documented code.
  

Preferred Experience

• Building CI/CD pipelines using GitHub Actions and Atlantis.
  
• Working with large-scale data pipelines in Databricks.
  
• Experience with Airflow, Kubeflow, Prometheus, and Grafana.
  

Benefits