Vannevar Labs supports people on the front lines by building tools that deter and de-escalate conflict with America's adversaries. We build software and hardware for this mission that enable our customers to maintain maritime vigilance, disrupt misinformation, and collect non-traditional intelligence. In strategic competition, the intelligence and actions that shape conflict occur well before war itself. We build tools to win this fight now.
This mission has become urgent. The US and our allies are fighting a war of deterrence with woefully outdated technology. As a team, we believe in public service and that our democracy and government improve only if we put serious, collective effort into improving them, including the technology our government uses.
Since our founding in 2019, we have grown to support a wide range of missions and capabilities across all U.S. service branches, multiple combatant commands, partner nations, and the intelligence community. We have been profitable since 2021, and are backed by investors including General Catalyst, DFJ Growth, Point72, Costanoa, and Felicis.
Data Platform Backend Engineer
The data platform organization is focused on meeting the data needs of a growing engineering group at Vannevar Labs. Our focus is on making it easier for product engineers inside of Vannevar Labs to leverage a diverse and growing corpus of data, by building centralized data orchestration, data storage, and data serving infrastructure.
You will be a part of a small team of 4-6 engineers focused on building data storage and serving infrastructure to support the needs of product engineers. You’ll work closely with Data Engineers who build and manage data pipelines, to ensure data is available reliably and in real time. You’ll identify common use cases across datasets and applications, and build abstractions to support those use cases. You’ll own and influence organizational direction for storage solutions, including caching and persistence data stores, which currently include Redis, Postgres, OpenSearch and VectorDBs.
What You’ll Do
Qualifications
The salary range for this position is $130,000 - $180,000 + equity + 401K match. Within the range, individual pay is determined by experience, relevant education, and/or training.
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