What youll do:
Own and drive the architectural design of core runtime and SaaS platform components, with a strong focus on scalability, reliability, and data design.
Translate high-level product and business requirements into clear, production-ready system designs for cloud and on-prem environments.
Lead technical direction through design reviews, architectural discussions, and hands-on implementation.
Define and promote architectural standards, patterns, and engineering best practices across teams.
Work closely with backend, data, platform, and product engineers to design and build robust, data-driven systems.
Design and optimize data models, storage strategies, and pipelines for high-volume, real-time, and analytical workloads.
Remain hands-on by implementing strategic components, building PoCs, and supporting complex engineering efforts.
Evaluate and introduce technologies that improve performance, scalability, security, and observability.
Act as a technical mentor and trusted advisor, influencing teams through expertise rather than authority.
Partner with cross-functional stakeholders to ensure architectural decisions align with product goals and long-term strategy.
8+ years of experience designing and building large-scale, distributed systems.
Proven experience in a senior IC, technical lead, or architect role
5+ years of hands-on experience with Linux systems programming (agents, low-level components, OS internals).
Strong understanding of microservices architectures, modern SaaS platforms, and data pipelines.
Solid experience with cloud-native technologies such as Docker, Kubernetes, and public cloud providers (AWS, GCP, Azure).
Ability to lead technical initiatives across multiple teams through influence, collaboration, and clear communication.
Excellent design, documentation, and communication skills.
A pragmatic, hands-on mindset with a strong sense of ownership and accountability.
BSc in Computer Science or equivalent practical experience (advanced degree or military tech unit background – a plus).
Experience working in an Agile R&D environment – an advantage.
