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We are building a planet-scale multi-modal database and infrastructure for executing agents (including orchestration and memory) from the ground up. You will be part of the team that is reimagining the databases in the era of Large Language Models (LLMs) by deeply integrating Artificial Intelligence (AI) into all parts of the stack. As a Principal Software Engineer, you will lead and collaborate with a team of passionate engineers, driving ideas to impactful results in a fast-paced environment. You will be responsible for operating the service for some of the largest enterprise customers. You will be working on operations, live site, deployment, monitoring, compliance, alerting and maintaining the Service Level Agreement (SLA) for our service.
Job Responsibility:
Independently execute in the face of ambiguity
Leads identification of dependencies and the development of design documents for a product, application, service, or platform
Writes efficient systems code and able to debug distributed systems
Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, or Java
OR equivalent experience
Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java
OR equivalent experience
Experience in shipping products and reliable, scalable services
Currently programming/coding in your current or most recent role
Hands on experience with asynchronous programming and concurrency (threads, tasks, futures, async/await)
Experience with Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), and/or Google Kubernetes Engine (GKE)
Experience in building database engines, query engines, indexing solutions (columnar, full-text, vector), at scale
Experience with programming CUDA, AI systems at scale
Experience with live site operations, Site Reliability Engineering (SRE) or production support roles