Key Responsibilities:

• Manage the architecture and technical leadership of our DevOps infrastructure


• Extend and optimise NixOS and cargo (Rust) scripts that compile and manage binaries across linux/mac/windows systems


• Assess risk, impact, cost, best practices, processes, and tool chains for infrastructure, CI/CD/CM, operating requirements, security, and use of hardware


• Oversee and support the continued improvement of the our chain release processes and tooling


• Successfully integrate DevOps throughout our organization

• Develop and manage automated continuous integration (CI) and continuous deployment (CD) solutions for company software products


• Enable automated configuration management (CM) for all development, test, quality assurance, and production servers


• Implement metrics collection systems that can be reused and applied to any site/software development project


• Design scaling strategies and develop automation scripts and solutions for the purpose of streamline, implement, and test sites/software


• Update tools, code, and modules for the purpose of streamlining implementation and supportability


• Create solutions for managing and ingesting large numbers of documents in real time, enabling prompt search and analysis


• Implement monitoring solutions that identify system bottlenecks and production issues


• Identify and implement big data storage solutions and schemas to maximize performance


• Conduct trainings and coach others on how to build processes that clearly represent and manage dependencies in code as well as the workings of reusable tools and patterns

• 5+ years of DevOps Engineer experience (Required)


• Experience with Nix and NixOS, Rust, and Cloudflare (Required)


• Experience in large-scale systems automation, orchestration, deployment, and implementation


• A solid knowledge of encryption and key security


• Skills in the configuration, maintenance, and securing of Linux systems as well as skills in scripting languages such as Shell


• Experience in scaling distributed data systems


• Working knowledge of a typical networking stack


• Able to work in a remote, distributed, multi-time zone environment with occasional travel