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Job Details

Senior Site Reliability Engineer

  2026-02-12     ZetaChain     all cities,AK  
Description:

About Anuma.ai
We're building Anuma.ai at ZetaChain: an ambitious privacy AI product designed to solve hard problems and deliver real value. Backed by top-tier investors, our team is pushing the boundaries of what AI can do in the real world. If you're excited by meaningful challenges and building products from the ground up, this is the place for you.

About the Role

We are looking for a Senior Site Reliability Engineer (SRE) to ensure the reliability, scalability, and security of Anuma.ai's production infrastructure.

This role is highly hands-on and execution-focused. You will operate critical blockchain and AI-adjacent infrastructure, build automation to reduce operational overhead, and partner closely with protocol, platform, and AI teams to design systems that are reliable by default.
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
Minimum Qualifications

Our ideal candidate description is a wish list, not a checklist. We don't expect every applicant to meet every requirement.
  • 4+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or Platform Engineering
  • Strong software engineering background with production experience in Go and/or Python
  • Deep experience operating Linux systems in production
  • Proven experience running Kubernetes at scale
  • Experience supporting high-availability distributed systems
  • Comfortable working in fast-moving startup environments
  • Strong security mindset, especially for infrastructure running on public or adversarial networks
  • Excellent collaboration and communication skills
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
Bonus Points
  • Exposure to AI-powered infrastructure, observability, 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
  • Contributions to open-source software
In-Office Culture

We believe that collaboration is supercharged when we share space together. Many members of our team work hybrid from our San Francisco office, and we aim for 3 in-office days per week. We know life happens, whether it's travel, appointments, or family needs and we're flexible when the schedule needs to shift. But generally, we value showing up, building together, and keeping the energy high. The company is a mix of remote and local team members.
Compensation

Base Salary: $140,000 - $190,000
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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