Backend Software Engineer Position
hace 1 mes
About LogSpend
LogSpend is a leading provider of self-serve analytics platforms for AI-native products. Our mission is to accelerate the transition to an AI-first world by enabling companies to create more value for their customers and end users through delightful AI-powered experiences.
Our Vision
We equip product teams with the superpowers to go beyond tracking explicit user actions to gleaning insights from unstructured user interaction and navigation data. We simplify complex data collection and reconciliation from multiple sources to ensure high-quality data at the source, automate insight extraction at scale, and provide full flexibility on how these insights are consumed and acted upon by product teams.
Our Team
We are a VC-backed company built by two founders who spent the last 6 years at Spotify shipping personalized listening experiences to millions of Spotify users globally. We are a small, fun, and ambitious team that loves moving fast and trying things out.
About the Role
We are in search of a proficient Backend Engineer to manage integrations, maintain SDKs, and oversee the backend infrastructure essential for our analytics platform. The ideal candidate will excel in creating efficient, scalable, and low-latency integrations with various providers and tools, such as Langchain, to ensure the delivery of top-notch insights to our stakeholders.
Key Responsibilities
- Integration Development: Design and upkeep integrations with a variety of data sources and sinks, including BigQuery, to facilitate uninterrupted data flow and access.
- Data Ingestion: Work closely with data engineers to enhance data ingestion, optimizing the handling of unstructured and event tracking data in real-time.
- Infrastructure Scaling: Develop a robust backend infrastructure capable of managing vast volumes of tracking data, prioritizing system performance and reliability.
- Data Modeling: Apply data modeling strategies to offer quick, configurable insights, enabling self-serve analytics on top of NoSQL or analytics databases like Cassandra, ClickHouse, and Druid.
- Data Visualization Support: Contribute to the creation of dynamic data models that underpin interactive graphs and data visualization on the platform.
Qualifications
- Educational Background: Bachelor's degree in Computer Science or related field.
- Backend Expertise: Demonstrable experience in backend development, with a particular focus on integrations and data infrastructure.
- System Scalability: Experience with developing highly scalable systems, with an emphasis on minimizing latency.
- Data Handling: Good understanding of data modeling and managing scalable NoSQL databases like Cassandra.
- Pipeline Development: Working knowledge of building data pipelines for data analysis.
- Programming Skills: Skilled in backend programming languages, such as Java, Python, or Go.
- Team Collaboration: Ability to work well with cross-functional teams, including data engineers, frontend developers, and product designers.
- Problem-Solving: Strong problem-solving capabilities and a drive to tackle complex challenges with innovative solutions.
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