TensorWave Logo

TensorWave

Senior Software Engineer (Back-end)

Reposted 13 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The Senior SRE Engineer will design, build, and maintain resilient infrastructure systems, manage infrastructure-as-code, and write tooling in various languages.
The summary above was generated by AI

About TensorWave

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.

About the role

We’re looking for a Senior Software Engineer (Back-end) to join our platform team during an exciting phase of growth. In this role, you’ll own the end-to-end automation of provisioning, configuring, and operating large-scale GPU clusters across bare metal, Kubernetes, and Slurm environments. This is a hands-on technical role focused on building the tooling and pipelines that bring hundreds of GPU nodes online reliably and repeatably—working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.

Responsibilities

  • Build and maintain fully automated pipelines for provisioning bare metal GPU clusters from zero to production

  • Automate Slurm and Kubernetes cluster lifecycle—bootstrapping, upgrades, node provisioning, and decommissioning at scale

  • Develop and maintain infrastructure for GPU node configuration, including drivers and firmware

  • Own cluster validation pipelines, automating health checks and GPU burn-in tests

  • Build day-2 operations automation, including node remediation, rolling upgrades, and automated drain/cordon workflows

  • Write and maintain runbooks and documentation to enable reliable, repeatable operations

  • Own the full observability stack for automation services, provisioning pipelines, and cluster health systems

Required Experience

  • 5+ years in infrastructure engineering or platform engineering

  • 3+ years writing production Go

  • Deep understanding of Kubernetes internals, including:

    • Informers and work queues

    • Controller-runtime and client-go

    • CRDs, custom controllers, and operators

    • Admission webhooks

  • Experience building Kubernetes Operators

  • Experience building gRPC and REST APIs in Go at production scale

  • Familiarity with bare metal infrastructure concepts, including PXE, IPMI, and BMC

  • Strong testing discipline across unit, integration, and end-to-end tests

  • Proven ownership of observability stacks such as Prometheus, Grafana, OpenTelemetry, and Loki (or similar)

Preferred Qualifications

  • Knowledge of GPU workload infrastructure

  • Experience with RoCE networking automation

  • Experience with GitOps tools such as ArgoCD

  • Experience with CI/CD tools such as GitHub Actions and Argo Workflows

  • Experience with Ansible and Terraform

What We Offer

  • 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

  • Other Insurance Options, such as Pet & Legal Insurance

  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

  • Flexible Spending Account

  • 401(k)

  • Employee Assistance Program

  • Flexible PTO

  • Paid Holidays

  • Parental Leave

  • Other In-Office Perks

Equal Employment Opportunity

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.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [email protected].

Employment Eligibility

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

Background Checks

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

Data Privacy Notice

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.

Similar Jobs

8 Days Ago
Easy Apply
Remote
United States
Easy Apply
173K-255K Annually
Senior level
173K-255K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead and deliver quarterly goals for a backend team; guide engineers through ambiguous problems; collaborate with product, design, and analytics; identify and resolve project and technical issues; ensure operational availability and on-call readiness; set code and design quality standards; and mentor and develop team members.
Top Skills: AWSKotlinKubernetesMySQLPython
10 Days Ago
Easy Apply
Remote
USA
Easy Apply
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.
Top Skills: Agentic Ai FrameworksDockerGoLlmMongoDBPostgresPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)
21 Days Ago
Remote
United States
225K-225K Annually
Expert/Leader
225K-225K Annually
Expert/Leader
Security • Cybersecurity
Lead backend development for Dragos' OT security platform: design and implement high-performance systems in Rust, optimize architectures, participate across the development lifecycle, integrate databases and third-party data providers, incorporate AI tools, mentor senior engineers, and drive cross-team architectural decisions.
Top Skills: Ai Tools/ModelsCi/CdCloud-NativeDockerElasticsearchGoGrafanaKotlinKubernetesMicroservicesPostgresPrometheusPythonRustTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account