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ZetaChain

Senior Platform Engineer

  • Seen live on ZetaChain's site 2 days ago
  • Senior
Pay
$190k to $225k a year USD
Location
San Francisco (Hybrid)
Open for
12+ days
First seen
Oct 23, 2026

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. ZetaChain's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking ZetaChain, so its true age is longer.

Last checked Nov 2, 2026.

How well do you match?

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What it asks of you

3+ years of experience
“3+ years of experience in Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering” (quoted from the posting)

What the posting discloses

Pay
$190k to $225k a year USD
Base Salary: $190,000 – $225,000 (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

About ZetaChain

ZetaChain is building the infrastructure for a more private and interoperable internet. Our mission is to create blockchain technology that puts users in control of their data while enabling seamless interactions across platforms.

Anuma.ai is our flagship AI product—an ambitious privacy-first AI platform designed to deliver real value while maintaining user sovereignty. Backed by top-tier investors, we're pushing the boundaries of what AI can do in the real world, building a fully interoperable and private AI ecosystem that serves actual user needs.

If you're excited by meaningful technical challenges and building products that matter, this is the place for you.

About the Role

We're looking for a Senior Platform Engineer to build and operate the infrastructure powering next-generation AI applications. You'll ensure the reliability, scalability, and security of production systems that serve users globally—working at the intersection of blockchain, AI, and distributed systems.

This is a highly hands-on, execution-focused role. You'll operate critical infrastructure, build automation to eliminate toil, and partner with engineering teams to design systems that are reliable by default. If you thrive on solving complex infrastructure challenges, love building robust automation, and want to work with cutting-edge technology stacks, this is the role for you.

What You'll Do

  • Operate and maintain production blockchain infrastructure, including validators, RPC services, indexers, and supporting services
  • Ensure high availability and performance for AI‑enabled developer platforms and internal tooling
  • Build and maintain monitoring, alerting, and dashboards for protocol, infrastructure, and application health
  • Write high‑quality automation and infrastructure code to reduce toil and improve reliability
  • Participate in on‑call rotations, incident response, and post‑incident reviews
  • Partner with engineering teams to embed reliability, scalability, and security best practices into system design
  • Improve Kubernetes reliability across cloud and bare‑metal environments
  • Continuously refine deployment, rollback, and recovery strategies

What We're Looking For

Required

  • 3+ years of experience in Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering
  • Strong software engineering foundation with production experience in Go and/or Python
  • Deep expertise operating Linux systems in production environments
  • Proven track record running Kubernetes at scale in high-availability environments
  • Experience supporting distributed systems with demanding uptime requirements
  • Comfort working in fast-moving startup environments with evolving requirements
  • Strong security mindset, especially for infrastructure operating on public or adversarial networks
  • Excellent collaboration and communication skills across technical and non-technical stakeholders

Bonus Points

  • Exposure to AI-powered infrastructure, observability tools, or developer tooling
  • Experience operating blockchain nodes or validator infrastructure
  • Familiarity with Cosmos-based chains or EVM clients
  • Experience with DevOps, DevSecOps, or GitOps methodologies
  • Active contributions to open-source projects

Not Required: Prior blockchain experience is not required —we value strong engineering fundamentals, automation skills, and distributed systems expertise above domain-specific knowledge. Our ideal candidate description is a wish list, not a checklist.

Our Tech Stack

  • Languages: Go, Python, Bash, Terraform, Ansible
  • Infrastructure: Kubernetes, Docker, Linux
  • Observability: Prometheus, Grafana, Datadog, Loki, incident.io
  • Platforms: AWS, GCP, bare metal
  • Blockchain Stack: Cosmos SDK, Tendermint / CometBFT, Ethereum, Bitcoin

Why Join Us

  • Build and operate infrastructure for cutting-edge AI and blockchain systems
  • Make architectural decisions that impact reliability at scale
  • Work with modern, best-in-class tooling across the entire infrastructure stack
  • Collaborate with talented engineers solving novel distributed systems challenges
  • Competitive compensation with meaningful benefits
  • Flexible hybrid work environment in San Francisco
  • Backed by top-tier investors who believe in our vision

Compensation

Base Salary: $190,000 – $225,000

This range reflects base salaries for roles in the San Francisco market. For candidates in other locations, compensation is adjusted to remain competitive within their local market.

In addition to the base salary, all full-time team members receive an additional 10% to 25% in liquid benefits with upside based on role, experience, and impact. We believe in building together and sharing in the long-term success of the network. Compensation packages are designed to be competitive and aligned with the growth of both the team and the ecosystem.

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