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Hybrid Senior Software Engineer - Backend

Sayari · United States Of America, Estados Unidos Da América · Hybrid

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About Sayari: 
Sayari is the transparency company providing the public and private sectors with immediate visibility into complex commercial relationships by delivering the largest commercially available collection of corporate and trade data as a dynamic model of global ownership and trade activity. Sayari’s solutions harness this model to enable risk resilience, complex investigations, and clear-eyed business decisions. Sayari is headquartered in Washington, D.C., and its solutions are used by thousands of frontline analysts in over 35 countries.

Our company culture is defined by a dedication to our mission of using open data to enhance visibility into global commercial and financial networks, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you.

POSITION DESCRIPTION
Sayari is looking for a Senior Software Engineer II to join our Application Engineering team and take ownership of developing new and existing features across our stack. This role requires an experienced backend or fullstack engineer who can independently see complex features through to completion, mentor peers, and optimize performance at scale. Experience alone isn’t sufficient for this role; we’re also looking for someone who has actively sought out the toughest problems and has embraced a continuous learning mindset throughout their career. Our ideal candidate is highly skilled and process-oriented, driven to innovate and solve problems related to corporate transparency, anti-money laundering, sanctions evasions, and combating financial fraud.

Our application tier is built primarily in TypeScript (backend and frontend), running in Kubernetes and backed by PostgreSQL, Cassandra, Elasticsearch, and Memgraph. The data ingest tier operates on Spark, processing terabytes of data from hundreds of sources. The platform supports a large-scale knowledge graph sourced from millions of records across over 200 countries and 30 languages. As part of this team, you’ll also contribute to our open-source projects, including our WebGL-powered network visualization library, sayari-analytics.github.io/trellis.