We are looking for a Private Cloud Architect to US-based Clients team that is building a next-generation private cloud platform as part of a greenfield initiative to bring critical internal workloads in-house while enabling future growth. Our infrastructure currently powers a massive database testing system that runs 7.25M+ tests per month, writes petabytes of data daily, and is scaling aggressively year over year.
As a Private Cloud Architect, you will own the top-level design and evolution of our private cloud infrastructure, with particular focus on network architecture, security, scalability, and cost efficiency. You’ll work closely with a small, highly skilled engineering team in a culture that values first-principles thinking, data-driven decisions, and egoless technical debate.
Experience / Skills required:
Must have:
10+ years of experience designing, developing, and optimizing systems software and infrastructure architectures
Deep expertise in networking, with the ability to operate at both system design and implementation levels
Strong working knowledge of one or more private cloud domains, such as: Virtualization, Storage systems, Service modeling and REST API / SDK generation, High-performance or scientific computing, Kernel or low-level systems development
Experience designing, building, and troubleshooting distributed systems
Proficiency in at least one systems programming language (C, C++, or Go)
Proficiency in at least one scripting language (Python or Bash)
Comfort working in *Unix/Linux (“nix”) environments
Upper-Intermediate English and better
Good to have:
Knowledge of zero-trust security models and private cloud compliance standards
Experience with hybrid or multi-cloud connectivity
Experience with low-latency networking technologies (e.g., DPDK, RDMA)
Hands-on experience with SLAs, SLOs, incident management, and reliability best practices
Experience with—or strong interest in—AI-assisted infrastructure automation and optimization
Experience with distributed SQL databases
Experience with or interest in distributed elastic AI / LLM CPU inference (e.g., OpenVINO, llama.cpp)
Responsibilities:
Design and develop major private cloud infrastructure components with a strong focus on fault tolerance, performance, and scalability
Own infrastructure systems end-to-end, from architectural design through production operation
Drive the top-level architecture and long-term technical direction of the private cloud
Provide deep architectural expertise in networking, security, and infrastructure best practices
Collaborate closely with a small, senior engineering team to design, integrate, and operate core systems
Enable fact-driven decision-making by grounding discussions in data, metrics, and code
Continuously improve system reliability, usability, and operational efficiency
Partner across teams to ensure seamless integration and successful operation of infrastructure services
Explore and apply AI-powered techniques for automation, observability, and infrastructure optimization
Practice distributed leadership—comfortably shifting between leading, collaborating, and supporting peers