AI Summary
Design, build, and operate systems for Gensyn's decentralized compute network. Manage infrastructure provisioning, Kubernetes clusters, and CI/CD pipelines. Participate in on-call rotations and lead incident response.
Key Highlights
Design and operate decentralized compute network infrastructure
Manage infrastructure provisioning and lifecycle automation
Operate and scale Kubernetes clusters across multiple regions and environments
Maintain and improve CI/CD pipelines and deployment workflows
Technical Skills Required
Benefits & Perks
Competitive salary
Share of equity and token pool
Fully remote work
Visa sponsorship
Relocation assistance
Paid sick leave and flexible vacation
Company-sponsored health, vision, and dental insurance
Job Description
Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.
The Role
You’ll design, build, and operate the systems that power Gensyn’s decentralised compute network. This role ensures our mainnet and supporting infrastructure are reliable, observable, and ready to scale.
Responsibilities
- Own reliability, observability, and automation for Gensyn’s decentralised compute network
- Manage infrastructure provisioning and lifecycle automation using Terraform and configuration management tools (Ansible or Puppet)
- Operate and scale Kubernetes clusters across multiple regions and environments
- Maintain and improve CI/CD pipelines and deployment workflows for production services
- Participate in on-call rotations and lead incident response and postmortems
Must have
- Strong background in Linux systems, networking, and distributed system operations
- Kubernetes production experience (multi-cluster or multi-region preferred)
- Expertise in Infrastructure as Code and GitOps (Terraform preferred)
- Experience monitoring and supporting live production systems, including on-call response
- Strong Python and Bash scripting skills for automation and tooling development
- Experience managing or extending observability systems (Prometheus, OpenTelemetry, Grafana, ELK)
- Experience deploying large-scale or high-throughput systems across cloud or hybrid environments
- Familiarity with Ansible, Puppet, or similar configuration management frameworks
- Strong understanding of CI/CD pipelines, version control, and deployment safety patterns
- Exposure to fast paced, high-intensity environments
- Exposure to decentralised systems, blockchain, or machine learning infrastructure
- Experience provisioning and managing on-prem or bare-metal Linux servers
- Broader software engineering experience beyond traditional SRE or DevOps work
- Competitive salary + share of equity and token pool
- Fully remote work - we currently hire between the West Coast (PT) and Central Europe (CET) time zones
- Visa sponsorship - available for those who would like to relocate to the US after being hired
- 3-4x all expenses paid company retreats around the world, per year
- Whatever equipment you need
- Paid sick leave and flexible vacation
- Company-sponsored health, vision, and dental insurance - including spouse/dependents [🇺🇸 only]
Autonomy & Independence
- Don’t ask for permission - we have a constraint culture, not a permission culture.
- Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.
- Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing.
- Communicate to be understood rather than pushing out information and expecting others to work to understand it.
- Stay a small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams.
- Give direct feedback to everyone immediately - rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain.
- Embrace an extreme learning rate - rather than assuming limits to your ability / knowledge.
- Don’t quit - push to the final outcome, despite any barriers.
- Be anti-fragile - balance short-term risk for long-term outcomes.
- Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.
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