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Requirements found

Scheduling Training Excel

What this posting asks for

Level: Lead / staff — The title says "Staff".

Main responsibilities

• Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.
• Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.
• Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.
• Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routin…
• Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.
• Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.

Competencies an interviewer will look for

• Technical skill Core
  In the posting: “Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.” · “Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.” · “Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.”
  Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
• Teamwork and collaboration Core
  In the posting: “You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and col…” · “Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.” · “Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.”
  Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
• Leadership and mentoring Core
  In the posting: “Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.” · “Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.” · “Passion for mentoring, growing engineers, and fostering technical excellence.”
  Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them.
• Customer focus Core
  In the posting: “We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.” · “As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs …” · “Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.”
  Show it by: Puts the customer's need in their own words; Shows a result for the customer, not only for the company.
• Planning and organisation Core
  In the posting: “Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.” · “Deep expertise in model serving, inference systems, and related infrastructure (e.g., routing, scheduling, autoscaling, and observability).” · “More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Datab…”
  Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how.
• Data and analysis Core
  In the posting: “At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to …” · “We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.” · “Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.”
  Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
• Attention to detail and quality Core
  In the posting: “Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.” · “We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.”
  Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
• Stakeholder management Core
  In the posting: “You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and col…” · “Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.”
  Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior.
• Problem solving Supporting
  In the posting: “At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to …”
  Show it by: Describes a real problem, the options considered and the one chosen; Shows how the cause was found, not just the fix.
• Communication Supporting
  In the posting: “Strong communication skills and ability to collaborate across teams in fast-moving environments.”
  Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.

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