Senior Software Engineer - REDAPL Graph Engine

Accountabilities:

• Design and build a high-performance query engine enabling efficient traversal of large-scale infrastructure relationship graphs.


• Lead and contribute to high-impact, cross-team technical initiatives improving scalability, resilience, and platform value.


• Participate in architectural decisions related to data ingestion, processing, and query systems.


• Identify system risks, reliability bottlenecks, and propose robust engineering solutions.


• Collaborate with product teams to translate requirements into scalable technical solutions supporting growth.


• Guide and mentor engineers while promoting strong engineering practices and design principles.


• Contribute to roadmap planning and prioritization of platform engineering initiatives.

Requirements

• Strong academic background in Computer Science, Engineering, or equivalent practical experience.


• Extensive backend engineering experience building and operating distributed systems at scale.


• Proven experience working with multiple data storage technologies in production environments.


• Strong understanding of system design with focus on performance, scalability, cost efficiency, and reliability.


• Experience leading technical initiatives in platform or infrastructure-focused environments.


• Ability to make architectural decisions and guide engineering teams.


• Bonus: experience with graph databases such as Neo4j, JanusGraph, ArangoDB, Amazon Neptune, Memgraph, or similar.


• Bonus: familiarity with Apache Iceberg in production environments.


• Bonus: knowledge of query engines or query planning systems such as Trino, Calcite, Substrait, or DataFusion, ideally with open-source contributions.

• Opportunity to build and improve tools used daily by software engineers.


• High impact on product direction and platform strategy.


• Collaborative environment with skilled and supportive engineering teams.


• Competitive global compensation and benefits package.


• Continuous learning and professional development opportunities.


• Flexible hybrid/remote-friendly work culture supporting work-life balance.


• Exposure to large-scale distributed systems and cutting-edge data infrastructure challenges.

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