Software Engineer (New Grad)

SproutsAI

Palo Alto, Northern (CA, KY)

Hybrid

USD 120,000 - 150,000

Full time

13 days ago
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Job summary

Zettabyte in Palo Alto is hiring a Software Engineer (New Grad) to contribute across the full stack—from frontend interfaces used to manage GPU clusters to backend services and Kubernetes infrastructure.

You will own features end-to-end: write frontend and backend code, deploy and monitor in production, build CI/CD pipelines, operate cloud resources (GCP/AWS/Azure), and improve observability while shipping fast.

Qualifications

  • New grads welcome; 0–2 years experience in software engineering.
  • Experience across frontend/backend/infrastructure is a plus.
  • Comfortable shipping features end-to-end.

Responsibilities

  • Own features end-to-end—from scoping the problem with users to writing frontend and backend code.
  • Build fast, polished interfaces in Vue, Next.js, or React.
  • Design and build backend services in Go.
  • Own and operate Kubernetes infrastructure—deployments, scaling, monitoring, troubleshooting.
  • Build and maintain CI/CD pipelines and infrastructure-as-code.
  • Administer and harden Linux systems; own networking end-to-end (DNS, firewalls, load balancers, ingress, VPNs).

Skills

Frontend development
Backend development
Go
Kubernetes
Linux
Networking

Tools

Terraform
Pulumi
Prometheus
Grafana
Datadog
ELK

Job description

Software Engineer (New Grad)
About Us

At Zettabyte, we're building the software and systems that make large-scale AI infrastructure actually work. We help enterprises and sovereign nations deploy, manage, and optimize GPU clusters — from bare metal to cloud. Backed by the world's top hardware supply chain (Foxconn, Wistron, Pegatron), we're scaling AI compute globally.

Why This Role Exists

We're hiring new grad software engineers to work across the entire stack — from the frontend interfaces enterprises use to manage GPU clusters, to the backend services and infrastructure that power them, to the Kubernetes clusters where AI actually gets trained and served. You'll pick up whatever needs to be done: shipping product features, writing backend services in Go, operating infrastructure, and dogfooding our product relentlessly. We need builders who can move fast across boundaries.

What You'll Do
  • Own features end-to-end — from scoping the problem with users, to writing frontend and backend code, to deploying and monitoring in production
  • Build fast, polished interfaces in Vue, Next.js, or React
  • Design and build backend services in Go
  • Own and operate Kubernetes infrastructure — deployments, scaling, monitoring, troubleshooting
  • Build and maintain CI/CD pipelines and infrastructure-as-code
  • Administer and harden Linux systems; own networking end-to-end (DNS, firewalls, load balancers, ingress, VPNs)
  • Set up monitoring, alerting, and runbooks. Run incident response and post-mortems
  • Dogfood our product relentlessly. Use it daily, break it on purpose, file detailed bugs, push the team to ship better software
  • Automate everything. If you're doing it manually more than once, script it
  • Operate cloud infrastructure (GCP, AWS, or Azure)
  • Use AI dev tools (Claude Code, Codex, Cursor, etc.) to move faster and ship more
You'll Thrive Here If You
  • 0–2 years of experience — new grads welcome, what matters is what you can do
  • Strong in at least one of: frontend (JavaScript, TypeScript, Vue, React, Next.js), backend (Go, service design, APIs), or infrastructure (Linux, Kubernetes, networking)
  • Comfortable working across the stack — you don't need to be an expert in everything, but you're not afraid to jump in
  • Testing mindset — you enjoy breaking things and making sure code works
  • Product instincts — you think about the user first and notice when something feels off
  • High agency — when something is broken, you fix it; when something is missing, you build it
  • Ship fast, iterate, communicate clearly
  • Comfortable with ambiguity. Requirements change. Priorities shift. You thrive in that
Bonus Points
  • Fluent in Chinese (Mandarin) — strong bonus
  • Deeper Kubernetes experience — RBAC, networking policies, operating clusters in production
  • Terraform, Pulumi, or other IaC tools
  • Observability stacks (Prometheus, Grafana, Datadog, ELK)
  • Service meshes, gRPC, or message queues (Kafka, NATS, RabbitMQ)
  • Design sensibility — Figma to pixel-perfect, or skip Figma entirely
  • Familiarity with AI/ML tools and integrating LLMs into products
  • Bare metal or on-prem experience
  • Security hardening or pen-testing background
  • Contributions to open source or notable side projects
  • A homelab you can tell us about in unreasonable detail

Don't meet every requirement? Please still apply. We care more about what you can build and how you think than whether you check every box. If this role excites you, we want to hear from you.

Logistics & Compensation
  • Competitive salary and equity based on experience
  • Hybrid — 3 days in office, 2 days WFH; must be located in Palo Alto
  • Applicants must be authorized to work in the United States without visa sponsorship
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