Principle Software Engineer

3 дн. назад

ЕгипетSeniorOnsite

Principal Engineer setting technical direction and hands-on coding for data analytics platform.

is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful. is an enterprise data and analytics platform. Apps lets business users build and share AI apps on their data. As a Principal Engineer, you'll set the technical direction of the product end-to-end. You'll work closely with product, design, and leadership to turn business goals into architecture, and you'll stay hands-on in the code.

Own the architecture and technical roadmap of Apps, tying technical decisions to business outcomes like adoption, readiness, and cost.
Design and build reliable, secure, and cost-efficient platform components across AI agents, data governance, and cloud infrastructure.
Partner with product management, design, customer-facing teams, and customers to transform complex needs into shipped designs.
Operate and scale our multi-tenant cloud infrastructure on Google Cloud and Kubernetes.
Lead design reviews, drive high-severity incident resolution, and write critical production code.
Mentor senior engineers and communicate technical trade-offs clearly to leadership.

9+ years of building and shipping software products, with experience as a technical lead or architect for enterprise SaaS products.
Hands-on experience in TypeScript/Node.js backend, React frontend, Python, and cloud infrastructure (Kubernetes, GCP).
Proven experience building production LLM products (agents, prompts, tool calling, evaluation) and end-to-end multi-tenant architecture.
Strong proficiency in SQL, enterprise data governance, and data systems.
Excellent written and spoken communication in English to collaborate across global teams and leadership.

Experience with AI coding agents, tooling (Claude Code, MCP, AI SDK), and low-code/no-code app builders.
Background in BI, analytics, sandboxing (gVisor, Firecracker), and enterprise compliance (SOC 2, GDPR).