Offer summary

Qualifications:

Extensive experience with AWS platforms., Expertise in Kubernetes and strong proficiency in Python., Familiarity with data and machine learning pipelines in production., Understanding of IT and cybersecurity best practices..

Key responsabilities:

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 and develop a hybrid compute infrastructure.

Support platform scalability as it expands to additional product teams.

Job description

Ez egy távmunkában végezhető állás.

Join Our 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

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

What We Offer

Fully remote position with opportunities for occasional travel to Silicon Valley.
Collaborate with a passionate team working on groundbreaking robotics and ML applications.
Engage in impactful projects with real-world sustainability and safety implications.

Join us on this exciting journey as we drive innovation in agrotech and beyond!

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