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.
As a Dev Ops Engineer at Gensyn, your responsibilities would see you:
Support the development, deployment, and observability of our mainnet and internal products
Manage observability and deployments for a complex, distributed system
Manage CI/CD and build pipeline infrastructure
Author and maintain internal developer support tools
Must have
Experience deploying large scale workloads to one or more cloud providers
Experience monitoring and being on call for internal and external deployments
Infrastructure as Code and Git Ops expertise, Terraform preferred
Should have
Experience working with Kubernetes, or an equivalent container orchestration solution
Experience managing OTel, Prometheus, or other open source observability systems
A high-degree of proficiency with Python, shell scripting, and Linux
Nice to have
Meaningful exposure to crypto and/or machine learning
Experience provisioning and managing on-prem Linux servers
Software engineering experience beyond Dev Ops
Benefits
Competitive salary + share of equity and token pool
Fully remote work - we hire between the West Coast (PT) and Central Europe (CET) time zones
Relocation Assistance - available for those that would like to relocate after being hired (anywhere from PST through CET time zones)
4x all expenses paid company retreats around the world, per year
Whatever equipment you need
Paid sick leave
Private health, vision, and dental insurance-including spouse/dependents
Work Culture
Focus on a small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams
Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding
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
No quit - push to the final outcome, despite any barriers
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