DevOps Engineer - Platform Integrations

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

We are building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment spans compute, storage, networking, Kubernetes, and internal platform services.

We are developing a growing ecosystem of internal tooling and services—including messaging systems, automation platforms, and control-plane integrations—that tie our infrastructure together.

We are looking for a DevOps Software Engineer to build and maintain the software layer that connects our infrastructure systems. This role focuses on developing integrations, services, and tooling that enable automation, orchestration, and communication across platforms.

This is not a traditional application development role. You will work directly with infrastructure systems and DevOps engineers to build reliable, production-grade platform integrations.

• Design and build integrations between internal platform services (e.g., messaging/pub-sub systems), infrastructure systems (compute, storage, networking), third-party vendor platforms

• Develop services and tools that enable automation workflows, system coordination and orchestration, event-driven infrastructure operations

• Write production-quality code in Go, Python, Rust (where applicable)

• Build APIs, services, and background workers that interact with infrastructure platforms, CI/CD systems, automation frameworks

• Ensure code is reliable, observable, maintainable

• Integrate software with automation systems such as Ansible, Terraform, CI/CD pipelines (GitHub Actions, ArgoCD)

• Enable infrastructure workflows through APIs, event-driven systems, automation hooks

• Work closely with DevOps engineers (infrastructure and automation), Development teams (application requirements)

• Translate infrastructure capabilities into usable APIs and services

• Help teams integrate their systems into platform workflows

• Build logging, metrics, and tracing into services

• Debug and resolve issues across distributed systems

• Ensure integrations are resilient and handle failure scenarios gracefully

• Identify gaps in platform integration and automation

• Build tooling that reduces manual work and improves system cohesion

• Contribute to standards for internal platform development

• 5+ years of experience in software engineering, DevOps development, or platform engineering

• Strong programming experience in:

  • Go and/or Python

  • Rust is a strong plus

• Experience building:

  • APIs

  • services

  • system integrations

• Strong understanding of:

  • Distributed systems concepts

  • Event-driven architectures

• Experience working with:

  • Linux systems

  • Infrastructure platforms

• Experience integrating with:

  • Infrastructure platforms (compute, storage, networking)

  • Kubernetes environments

• Familiarity with:

  • Message queues or pub/sub systems

  • CI/CD systems (GitHub Actions, ArgoCD)

• Experience with automation frameworks such as:

  • Ansible

• Experience working with third-party APIs and vendor platforms

• Exposure to infrastructure at scale or CSP environments

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law.

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.