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Lead deployment, optimization, and scaling of production AI and agentic systems on DigitalOcean's AI-native cloud. Work across inference engines, runtimes, orchestration, and GPU infrastructure to benchmark, tune, and automate deployments; act as early customer validator and build reusable deployment frameworks, tooling, and enablement assets while collaborating with customers, partners, and internal product and engineering teams.

As a Senior Engineer 2, you'll lead the design and delivery of high-scale AI Inference services, optimizing performance and mentoring junior engineers in a collaborative environment.

The Senior Engineer 2 will lead performance optimizations in AI Inference, focusing on architectural decisions, benchmarking, and complex GPU optimizations to enhance throughput and reduce latency for large models.

Lead assessment and mitigation of security risks in the virtualization stack. Build threat models, rubrics, and defenses; partner with kernel, virtualization, and provisioning teams to design and implement mitigations; mentor engineers, manage vulnerability backlog, and promote security best practices across product teams.

Build and run the Go-To-Market enablement function: design AE onboarding and certification, create pitch libraries, coach AEs via live/recorded calls and workshops, manage enablement content and cadence, and partner with RevOps, Product, PMM, Sales, and Marketing to keep sellers effective and informed.

Lead product strategy and delivery for customer-facing security and identity capabilities. Define roadmaps, translate complex IAM problems into developer-friendly console and API experiences, work with engineering to shape architecture, engage customers for discovery, and drive cross-functional launches and iteration to improve adoption and reduce security risk.

Lead product strategy and delivery for customer-facing security and identity capabilities. Define roadmaps, translate identity and access problems into intuitive console and API experiences, partner with engineering on architecture, engage customers for discovery, drive full product lifecycle from discovery to launch, define success metrics, and collaborate cross-functionally to increase adoption and reduce security risk.

Lead and own the insider threat program: design detection, automate workflows, build/tune UEBA/SIEM/DLP/UAM detection content, investigate anomalous activity, collaborate with DFIR/Threat Intel/HR/Legal, perform large-scale data analytics and reporting, and improve metrics and playbooks to reduce risk and false positives.

Lead DigitalOcean's insider threat program by engineering detection, automating workflows, hunting threats, and investigating anomalous activity. Build detection content, integrate log pipelines, develop playbooks, perform data analytics, and collaborate with DFIR, Threat Intel, HR, and Legal to reduce insider risk and improve response.

Lead and evolve the insider threat program by engineering detection, automating investigation workflows, tuning UEBA/SIEM/DLP/UAM/SOAR detection content, conducting threat hunting and DFIR, collaborating with HR/Legal, and using data analytics (e.g., Pandas) to investigate anomalous activity and reduce internal risk.