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 DevOps Engineer at Gensyn, your responsibilities would see you:Support the development, deployment, and observability of our mainnet and internal productsManage observability and deployments for a complex, distributed systemManage CI/CD and build pipeline infrastructureAuthor and maintain internal developer support toolsMust haveExperience deploying large scale workloads to one or more cloud providersExperience monitoring and being on call for internal and external deploymentsInfrastructure as Code and GitOps expertise, Terraform preferredShould haveExperience working with Kubernetes, or an equivalent container orchestration solutionExperience managing OTel, Prometheus, or other open source observability systemsA high-degree of proficiency with Python, shell scripting, and LinuxNice to haveMeaningful exposure to crypto and/or machine learningExperience provisioning and managing on-prem Linux serversSoftware engineering experience beyond DevOpsBenefitsCompetitive salary + share of equity and token poolFully remote work - we hire between the West Coast (PT) and Central Europe (CET) time zonesRelocation 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 yearWhatever equipment you needPaid sick leavePrivate health, vision, and dental insurance-including spouse/dependentsWork CultureFocus on a small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teamsReject waste - guard the company's time, rather than wasting it in meetings without clear purpose/focus, or bikesheddingGive direct feedback to everyone immediately rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term painEmbrace an extreme learning rate rather than assuming limits to your ability/knowledgeNo quit - push to the final outcome, despite any barriersApply for this job* indicates a required field
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