Infrastructure Engineer

Gensyn Limited; United Kingdom; Remote; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company at the forefront of machine intelligence. This role offers a unique opportunity to support the development and deployment of cutting-edge products in a fully remote environment. You will manage complex systems, ensuring observability and deployment efficiency while working with modern technologies like Terraform and Kubernetes. Embrace a culture of high performance and continuous learning, where your contributions directly impact the future of knowledge creation and machine intelligence. Enjoy competitive compensation, equity options, and a range of perks designed to support your well-being and professional growth.

Benefits

Fully remote work

Company-sponsored health, vision, and dental insurance

Paid sick leave and flexible vacation

3-4x all expenses paid company retreats

Whatever equipment you need

Visa sponsorship available

Qualifications

• Experience deploying large scale workloads to cloud providers.
• Expertise in Infrastructure as Code and GitOps, preferably with Terraform.

Responsibilities

• Manage observability and deployments for a complex, distributed system.
• Author and maintain internal developer support tools.

Skills

Cloud Deployment

Monitoring and On-Call Support

Infrastructure as Code

GitOps

Python

Shell Scripting

Linux

Tools

Terraform

Kubernetes

OTel

Prometheus

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

• Support the development, deployment, and observability of our mainnet and internal products

Responsibilities

• 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 GitOps expertise, Terraform preferred

Preferred

• 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 DevOps
• 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
• 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.

Rejection of mediocrity & high performance

• 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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