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DevOps / Platform Operations Engineer (AI Platform)

DevOps / Platform Operations Engineer (AI Platform)

Overview

Application

Location

Remote

Experience

Mid-Level (3–6 years)

Department

Platform Engineering

Type

Full-Time

About the Role

At Rive, we’re building an enterprise-grade AI platform, and we’re looking for a DevOps / Platform Operations Engineer who enjoys keeping systems running smoothly and helping teams ship with confidence. This is a hands-on role focused on cloud infrastructure and operations, with opportunities — when needed — to contribute directly to service development.

If you like solving production problems, improving reliability, and occasionally getting your hands into application code, this role offers a great balance of operations and engineering.

What You’ll Do

  • Help run and improve our cloud infrastructure on cloud providers (GCP, Azure, AWS)

  • Deploy and operate services on Kubernetes

  • Maintain infrastructure using Terraform and automation

  • Support Java, Python, and Next.js services in production

  • Improve CI/CD pipelines and developer workflows

  • Monitor systems, troubleshoot issues, and help resolve incidents

  • Collaborate closely with engineering teams on reliability, security, and performance

  • Contribute to service development when needed, including bug fixes, improvements, and operational enhancements

  • Automate repetitive tasks and improve day-to-day operations

What We’re Looking For

  • 3–5 years of experience in DevOps, Cloud, or Platform Engineering

  • Hands-on experience with GCP or Azure/AWS

  • Working knowledge of Kubernetes

  • Experience with Terraform or infrastructure-as-code tools

  • Experience supporting production applications

  • Familiarity with Java and Python services

  • Exposure to frontend deployments (Next.js or similar)

  • Comfortable troubleshooting Linux-based systems

  • A collaborative mindset and willingness to learn

Nice to Have (Not Required)

  • Hands-on experience with Google Cloud Platform and GKE

  • Experience with AI/ML or data-heavy systems

  • Familiarity with monitoring and observability tools

  • Knowledge of container security best practices

  • Scripting experience (Bash or Python)

Apply for this Job

Overview

Application

Location

Remote

Experience

Mid-Level (3–6 years)

Department

Platform Engineering

Type

Full-Time

About the Role

At Rive, we’re building an enterprise-grade AI platform, and we’re looking for a DevOps / Platform Operations Engineer who enjoys keeping systems running smoothly and helping teams ship with confidence. This is a hands-on role focused on cloud infrastructure and operations, with opportunities — when needed — to contribute directly to service development.

If you like solving production problems, improving reliability, and occasionally getting your hands into application code, this role offers a great balance of operations and engineering.

What You’ll Do

  • Help run and improve our cloud infrastructure on cloud providers (GCP, Azure, AWS)

  • Deploy and operate services on Kubernetes

  • Maintain infrastructure using Terraform and automation

  • Support Java, Python, and Next.js services in production

  • Improve CI/CD pipelines and developer workflows

  • Monitor systems, troubleshoot issues, and help resolve incidents

  • Collaborate closely with engineering teams on reliability, security, and performance

  • Contribute to service development when needed, including bug fixes, improvements, and operational enhancements

  • Automate repetitive tasks and improve day-to-day operations

What We’re Looking For

  • 3–5 years of experience in DevOps, Cloud, or Platform Engineering

  • Hands-on experience with GCP or Azure/AWS

  • Working knowledge of Kubernetes

  • Experience with Terraform or infrastructure-as-code tools

  • Experience supporting production applications

  • Familiarity with Java and Python services

  • Exposure to frontend deployments (Next.js or similar)

  • Comfortable troubleshooting Linux-based systems

  • A collaborative mindset and willingness to learn

Nice to Have (Not Required)

  • Hands-on experience with Google Cloud Platform and GKE

  • Experience with AI/ML or data-heavy systems

  • Familiarity with monitoring and observability tools

  • Knowledge of container security best practices

  • Scripting experience (Bash or Python)

Apply for this Job

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©2026 Rive. All rights reserved.

©2026 Rive. All rights reserved.