System Architect
Keyloop
Design and deliver robust, scalable solutions across Keyloop's automotive SaaS platform. Translate product requirements into sound technical architecture, champion engineering best practice, and grow your influence as a trusted technical voice across product teams
Scope & Autonomy
- Works independently; seeks guidance on the most ambiguous problems only
- Applies deep expertise across a defined domain or product area
- Connects technical decisions to business and customer outcomes
- Define and design technical architectures for platform components, features, and services
- Translate product and business requirements into scalable, resilient system designs
- Validate architecture through prototyping, test plans, and design reviews
- Produce clear design documentation and functional specs
- Partner with engineers and product managers to align on technical approach
- Share architectural best practice and technology trends with engineering teams
- Act as a technical mentor for engineers in your team
- 8+ years in software development
- Prior experience as an architect, tech lead, or senior engineer
- Delivered components across multiple products or services
- Hands on expereince on building enterprise applications using Microsoft technologies .netAWS cloud.NET 8+, .NET Core, ASP.NET MVC, ASP.NET Web API,Entity Framework
- Strong foundation in cloud platforms (AWS, Azure, or GCP)
- Microservices and API design (REST/gRPC)
- Solid, hands-on experience with containerisation, CI/CD pipelines, and observability tooling
- Solid understanding of Agile and iterative delivery
- Ability to explain complex technical concepts clearly to non-technical audiences
- Collaborative, low-ego, and happy working across team boundariesComfortable with ambiguity; can drive to clarity independently
- Bachelor's degree in Engineering, Computer Science, Mathematics or equivalent;
- Master's preferred
- Equivalent professional experience will be considered in lieu of formal qualification
- Experience with microservices, event-driven or SOA architectures in production environments
- Exposure to automotive retail, DMS, or enterprise SaaS domains
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.