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Key Responsibilities:Design and implement fundamental systems and APIs that drive Databricks Model Serving, ensuring scalability, reliability, and operational excellence. Guide architectural choices and trade-offs to enhance performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads. Directly contribute to critical components across serving infrastructure—from model container builds and deployment workflows to runtime systems such as routing, caching, observability, and intelligent autoscaling—ensuring seamless and efficient operations at scale. Work collaboratively with product, platform, and research teams to translate client needs into reliable and high-performing systems. Lead technical initiatives focused on enhancing latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers. Establish best practices for code quality, testing, and operational readiness, mentoring fellow engineers through design reviews and technical guidance.
About the job
At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging issues of our time—from realizing the future of transportation to speeding up medical innovations. We achieve this by developing and maintaining the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their operations.
Our Model Serving product equips organizations with a cohesive, scalable, and governed platform for deploying and overseeing AI/ML models, spanning traditional ML to specialized large language models. It provides real-time, low-latency inference, governance, monitoring, and lineage capabilities. With the rapid rise of AI adoption, Model Serving stands as a fundamental component of the Databricks platform, enabling clients to operationalize models efficiently and cost-effectively at scale.
As a Senior Engineer, your role will be pivotal in transforming both the product experience and the underlying infrastructure of Model Serving. You will design and create systems enabling high-throughput, low-latency inference across CPU and GPU workloads, influence architectural strategies, and work closely with platform, product, infrastructure, and research teams to deliver an exceptional serving platform.
About Databricks
Databricks is committed to revolutionizing how organizations utilize data and AI to solve complex challenges. Our innovative platform and dedicated teams are at the forefront of the data and AI landscape, helping enterprises unlock value and accelerate breakthroughs across various industries.
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Search for Senior Software Engineer Managed Ai Ai Model Lifecycle
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Responsibilities:Develop Our Product. Take ownership of software features that enhance our AI platform, empowering private market investors to analyze deals swiftly and accurately. This role requires you to actively engage in coding and delivering essential platform components from the ground up.Ensure Quality and Excellence. Establish and maintain coding standards, architectural guidelines, and review procedures; mentor fellow engineers. Co-cultivate a culture centered on practical, reliable, and test-driven development that swiftly meets business requirements.Scale for Growth. Assist in monitoring and scaling the architecture of our platform and its infrastructure.Collaborate Across Functions. Engage closely with product, security, and go-to-market teams to translate our strategic roadmap into actionable features and deliverables.
As a Senior Staff Software Engineer specializing in Model LifeCycle at Crusoe, you will play a vital role in shaping the future of software solutions that optimize and enhance our innovative operations. You will lead complex projects, mentor junior engineers, and collaborate with cross-functional teams to deliver high-impact results.
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Jul 25, 2025
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