Getinz

Backend Engineer

• Designing, building, and managing backend APIs and systems at scale.
• Leading data engineering projects: transforming messy, unstructured data from multiple sources into structured, reliable systems.
• Profiling and optimizing slow database queries and API endpoints.
• Developing media and streaming integrations with tools like Zoom, Slack, and Discord to support immersive learning.
• Building internal tools that enhance productivity for non-engineering teams (e.g., marketing, product).
• Contributing to open-source projects — starting small and growing your contributions over time.

Full-stack Engineer

• Lead design and development of next-generation data pipelines enabling near real-time ingestion and processing of massive datasets.
• Architect and build scalable, fault-tolerant, low-latency data pipelines for real-time/near real-time processing.
• Partner with cross-functional teams to design innovative solutions for complex data and security problems.
• Evaluate, adopt, and contribute to open-source technologies that enhance the data platform ecosystem.
• Influence product and engineering teams by providing guidance on architecture and platform best practices.
• Act as a thought leader, driving technical direction and innovation within the data engineering domain.
• Collaborate with global teams and strengthen technical and architectural depth.

Backend Engineer

Principal Engineer, Data Platform