Senior Solutions Architect II focused on cloud infrastructure and AI/ML who will perform architecture reviews, proofs of concept, demos, and technical consultations to retain and grow DigitalOcean's large customers. Requires expertise in AI/ML frameworks, LLM/GenAI deployment, GPU optimization, Kubernetes, Terraform, Docker, Linux, and working in post-sales/consultative roles. This is a remote role.

Technical leader role on DigitalOcean's AI Inference Data Plane team building Kubernetes-native, distributed inference hosting for large language and multimodal models. Responsibilities include system design, performance optimization (KV-cache, tensor/data parallelism), building on frameworks like llm-d/vLLM/Ray Serve, operating high-scale services with observability and SLOs, and contributing upstream to open-source projects. Strong experience with Go or Python, gRPC, and inference engines (vLLM, TensorRT, SGLang, etc.) is required.

Technical lead responsible for architecting, building, and operating Kubernetes-native distributed inference hosting (prefill/decode disaggregation, KV-cache-aware routing, tiered caching, MoE support). Requires experience with LLM inference frameworks (vLLM, llm-d, Ray Serve, NVIDIA Dynamo), Go or Python, gRPC, observability and SLOs, performance optimization, and contributing to open-source inference projects.

Hands-on technical leader responsible for designing, developing, optimizing, and operating distributed inference hosting and data-plane components to support large generative AI models. Work includes system architecture, performance tuning (tensor/data parallelism, KV cache, batching, quantization), GPU/interconnect optimization, cross-functional collaboration, mentoring, and maintaining observability and SLOs. Primary languages/tools: Go or Python, gRPC, and various inference frameworks (vLLM, llm-d, NVIDIA Dynamo, Ray Serve).

Technical lead on the AI Inference Engine team responsible for end-to-end design, development, and operation of a multi-tenant inference hosting platform. Role focuses on distributed systems design, performance optimization (tensor/data parallelism, KV cache, quantization), GPU/interconnect optimizations (NVLink, XGMI, RoCE), and mentoring engineers. Requires experience with inference frameworks (vLLM, llm-d, Ray Serve), microservices and cloud operations, and proficiency in Go or Python and gRPC.

Role involves designing, building, and maintaining security products and infrastructure at cloud scale: real-time detection engines (Apache Flink, Kafka), high-throughput security APIs and microservices (Go, Node.js), streaming analytics, and Kubernetes-based security solutions. Requires experience with distributed systems, cloud platforms (AWS/GCP/Azure), infrastructure-as-code (Terraform/Helm/Chef), and familiarity with security tooling (SIEM, WAF, IDS/IPS).

Responsible for designing, building, and maintaining security products and infrastructure: real-time detection engines (Apache Flink, Kafka), high-performance APIs and microservices (Go, Node.js), Kubernetes-based security solutions, and petabyte-scale data pipelines. Requires 5+ years of software engineering experience, strong Go and JavaScript skills, deep distributed systems and Kubernetes knowledge, and cloud experience (AWS/GCP/Azure). Role is listed as hybrid.

Responsible for defining and executing the Startup strategy focused on AI startups, leading the Startup team, innovating the Startups Program, engaging startup founders and venture partners, and collaborating cross-functionally (Sales, Product, Marketing, Finance, Operations) to drive adoption and revenue within the program.

Lead the Security Products portfolio at DigitalOcean, owning discovery, strategy, prototyping, technical delivery, launch, and growth for cloud security capabilities (CSPM, secrets, vulnerabilities, IAM, WAF, agent security). Role emphasizes zero-to-one product development, customer validation, close partnership with engineering and design, and measuring adoption and security outcomes.

Role responsible for product strategy, discovery, design, prototyping, technical delivery, launch, and growth for a portfolio including cloud security posture management, secrets management, vulnerability management, identity and access management, and related security areas. Requires strong customer discovery, technical fluency with cloud and platform tradeoffs, and experience launching customer-facing security or infrastructure products.