TensorWave, Inc. logo

DevOps Engineer - Platform Integrations

Job Overview

Location

Las Vegas, Nevada

Job Type

Full-time

Category

Software Engineering

Date Posted

May 22, 2026

Full Job Description

đź“‹ Description

  • • Design and build integrations between internal platform services (e.g., messaging/pub-sub systems), infrastructure systems (compute, storage, networking), and third-party vendor platforms to enable seamless automation and orchestration.
  • • Develop production-grade services, APIs, and background workers that interact with infrastructure platforms, CI/CD systems, and automation frameworks to support high-performance AI workloads.
  • • Implement automation workflows and event-driven infrastructure operations using tools such as Ansible, Terraform, GitHub Actions, and ArgoCD.
  • • Collaborate closely with DevOps engineers and development teams to translate infrastructure capabilities into usable APIs and services that integrate with platform workflows.
  • • Build logging, metrics, and tracing into all platform integrations to ensure observability and rapid debugging across distributed systems.
  • • Debug and resolve failures in production-grade integrations, ensuring resilience and reliability under scale.
  • • Identify gaps in platform automation and build tooling that reduces manual work and improves system cohesion across compute, storage, and networking layers.
  • • Write production-quality code in Go and/or Python; Rust experience is a strong plus for performance-critical components.
  • • Contribute to internal standards for platform development, ensuring code is reliable, maintainable, and observable.
  • • Work directly with infrastructure systems including Kubernetes environments, Linux systems, and CSP-based platforms to enable scalable AI compute.
  • • Integrate with third-party APIs and vendor platforms to extend platform functionality and unify operations across heterogeneous systems.
  • • Enable infrastructure workflows through automation hooks, message queues, and pub/sub systems to support event-driven operations.
  • • Participate in continuous improvement initiatives to enhance platform integration capabilities and reduce operational overhead.

🎯 Requirements

  • • 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, and system integrations
  • • Strong understanding of distributed systems concepts and event-driven architectures
  • • Experience working with Linux systems and infrastructure platforms
  • • Experience integrating with CI/CD systems (GitHub Actions, ArgoCD) and automation frameworks (Ansible)

🏖️ Benefits

  • • Stock Options
  • • 100% paid Medical, Dental, and Vision insurance for Employees
  • • Company Health Savings Account Contributions
  • • 100% paid Short Term and Long Term Disability Insurance for Employees
  • • Life and Voluntary Supplemental Insurance Options
  • • Flexible PTO
  • • Paid Holidays
  • • Parental Leave
  • • 401(k)
  • • Employee Assistance Program
  • • Flexible Spending Account
  • • Other Insurance Options, such as Pet & Legal Insurance
  • • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • • Other In-Office Perks

Skills & Technologies

Python
Go
Rust
Kubernetes
Terraform
DevOps
Onsite

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TensorWave, Inc. logo
TensorWave, Inc.
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About TensorWave, Inc.

TensorWave develops and operates an AI accelerator cloud built on AMD Instinct GPUs, targeting large-scale model training and inference. The platform offers on-demand and reserved compute with high-bandwidth memory, InfiniBand networking, and container orchestration, delivered through a web console and API. Designed for generative AI, LLM fine-tuning, and HPC workloads, the service emphasizes AMD performance at competitive pricing, supported by 24/7 operations teams. Based in Las Vegas, Nevada, the company serves hyperscalers, research labs, and enterprises needing GPU capacity beyond NVIDIA ecosystems.

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