Your expertise: * Deep hands-on experience with at least one of .NET, Java, Node.js, PHP, Python or comparable, plus enough breadth to reason about the others. Strong object oriented design, with functional thinking a plus * Solid grasp of distributed systems, networking and communication patterns, and several database models, including the tradeoffs each one carries. Production experience with more than one database model * JavaScript and TypeScript across browser and server, the Node.js toolset, and a modern front-end framework * A track record of taking solutions from idea to production, from specification through prototype and proof of concept to rollout, using AI agents to move faster along that path * Command of architectural, design and infrastructure patterns, and the ability to write a decision down so it still makes sense a year later * Depth in CI / CD, automated testing and developer tooling * Security is treated as a design concern rather than a review gate: ability to threat model a solution, recognise the common vulnerability classes and the patterns that defend against them, and judge how serious a reported issue actually is * A proactive stance on quality, with the willingness to take a position and argue for it in an agile setting where architecture has to keep pace with delivery
Working with LLMs and AI agents: * Fluent daily use of LLM agents in your own work, to the point where it changes the scale of what you can take on rather than just saving you typing * A working model, built from practice, of what agents are good at and where they fall over. Ability to judge which part of a problem to hand over and which part to keep * Ability to build the harness around the model: context assembly, prompting, tool and function calling, structured output, retrieval, and the feedback loops that let an agent check and correct its own work * A habit of pushing agents past the obvious use and getting real results out of tasks that look out of reach at first. Treating a poor result as a signal to improve the setup rather than proof that the model cannot do it * A feel for the operational shape of LLM features: latency, cost per request, token budgets, rate limits, fallback behaviour, and the failure modes worth designing against * Judgement about when an LLM is the right tool and when a deterministic solution is the better answer
Will definitely be a plus: * Experience building applications on AWS, GCP, Azure or a similar cloud provider * Experience with LLM evaluation harnesses or observability for AI features * Background in domains, hosting, registry or payments
What’s in it for you? * Opportunity to work in a global product company with millions of active users * Opportunity to contribute to meaningful internal products and capabilities that have direct business impact * Competitive compensation depending on experience and skills * Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency * “You build it, you own it” mentality in most contexts * Support of personal and professional development * coverage of costs of external trainings, conferences, professional literature * support of experienced colleagues * in-house events and trainings * regular knowledge sharing in teams * English classes and speaking clubs * Life-balance support * truly flexible schedule, no time-tracking at all * 25 working days of vacation * 5 days of paid sick leave per month (if necessary) without providing a medical certificate * generous maternity / paternity leave program * Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
You will be involved into: * Ensure solutions match product priorities and fit the wider system architecture * Design and document solutions against both functional and non-functional requirements * Work across the full path of a solution, from UX through backend to operations * Make architecture decisions, communicate them clearly to teams and stakeholders, and provide the analysis behind them when it is needed * Run solution analysis and build proofs of concept * Act as a technical mentor for teams, help them through hard problems, and address weak spots in the architecture * Capture and document functional and non-functional requirements. Identify solution risks and practical ways to mitigate them * Set and uphold the technical quality bar during implementation * Analyse existing systems, find weak points, and shape the strategy for how those systems evolve * Contribute to system architecture and to building the architecture runway * Prevent security vulnerabilities, validate that reported ones are properly fixed, and help grow a security culture * Improve how teams use LLMs and AI agents, both in the products we ship and in the way we build software * Interview candidates for key technical roles such as tech leads, senior engineers and architects
About the company and project:
ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 17 million domains under management.
Our culture is built on the values that we live every day; the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.
You will join the architecture team and work alongside development teams building Namecheap and Spaceship products. You will take part in delivery streams across several products, working closely with product owners, business stakeholders and tech leads, and you will be trusted to shape solutions that solve real customer problems.
Our systems are large, long lived and still growing. You will get to apply your experience to improving them and to making deliberate technology choices across a wide range of stacks, platforms and approaches.
