What you’ll be doing:
Craft scalable and resilient database solutions for web and machine learning products.
Develop performant API’s, data pipelines and microservices in a distributed systems environment.
Drive platform stability and performance through strategic integration of observability frameworks.
Own technical strategy for broad and complex challenges. Collaborate closely with product and engineering teams to translate high-level requirements into actionable work. Handle multiple tasks and adapt to changing priorities.
Be an engineering generalist. Discover and build skills needed at different times to tackle the problems at hand.
What we need to see:
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
8+ years experience developing large-scale software applications and infrastructure (NodeJS and/or Python preferred).
Knowledge of different database types and a keen sense of when to use them.
Experience in the bring-up and configuration of databases, including aspects pertaining to query optimization, scaling strategies and observability metrics.
Strong fundamentals in file handling and scripting for large-scale data/text parsing, backed by a solid grasp of data structures, algorithms, event-driven architecture, and distributed systems concepts.
Familiar with orchestration, containerization, CI/CD methodologies.
Ways to stand out from the crowd:
A passion for well-written code, test-driven development and engineering best practices.
Strong problem solving and interpersonal skills, self-motivated, and a team player.
A zeal to learn and perform beyond prior experience and expertise.
You will also be eligible for equity and .
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