Software Engineer 4 - Graph Search

Requirements

• Solid foundational knowledge of backend software engineering, typically using Java or similar object-oriented languages.
• Strong interest or foundational experience in large-scale data processing, data partitioning, sharding, and real-time messaging workflows.
• Foundational knowledge or direct experience working with search technologies such as OpenSearch or Elasticsearch, as well as graph databases such as AWS Neptune.
• Understanding of production environments, dedication to writing clean, maintainable, and performant code supported by robust testing and monitoring.
• Motivated problem-solver who communicates technical updates clearly, actively seeks feedback, and navigates technical ambiguity.

Nice to Have

• Prior experience building centralized platforms, frameworks, or shared tooling.
• Foundational full-stack or UI experience with TypeScript, React, GraphQL.
• Interest or experience in graph-based data stores or hierarchical data models.
• Interest in learning or applying AI patterns to expand natural language search functionality.

What You'll Be Doing

• Implement and own the lifecycle of backend features, search orchestration layers, and data-indexing pipelines end-to-end.
• Participate in managing, scaling, and optimizing search cluster architecture.
• Collaborate on throughput optimizations, sharding strategies, data consistency, and low-latency metrics for real-time data movement.
• Participate in code reviews, technical design discussions, and operational improvements for high developer effectiveness.
• Maintain robust testing practices to support a continuous deployment culture.

Perks and Benefits

• Inclusion and diversity initiatives to host a meaningful interview experience for all candidates.
• Equal-opportunity employer celebrating diversity and building stronger teams without discrimination based on various factors.