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Senior Engineering Manager leading DigitalOcean's Inference Orchestration team: managing engineers while owning strategy, architecture, and delivery of Kubernetes-based AI infrastructure for large-scale GPU inference, fine-tuning, and training workloads. Core tech: Kubernetes at scale, GPU scheduling (NVIDIA/AMD), and LLM serving.
Principal Data Center Architect owning reference architectures for next-gen environments, focusing on MEP systems, cooling (air/liquid), and power topologies (415VAC/800VDC) for high-density CPU/GPU deployments.
Senior engineer on DigitalOcean's MARS team building a managed runtime platform for AI coding agents and agentic workflows: control-plane APIs, secure microVM execution environments, and developer-facing tools. Backend-heavy Go work across distributed systems (Kubernetes, Kafka, PostgreSQL) plus LLM agent framework integrations. Hybrid role in Seattle.
DigitalOcean is hiring a Principal Product Manager to own the strategy and roadmap for a new managed agentic AI infrastructure product line (e.g., Action Gateway, Inference Router). Day to day, they work with agent-native customers and engineering to define services around MicroVMs, sandboxing, tool execution, and observability, shape developer experience, and launch and price new SKUs.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
Technical Program Manager on DigitalOcean's Agentic AI team, driving delivery of AI programs spanning agentic systems, LLM-powered features, AI infrastructure, and developer tooling — coordinating Product, Engineering, AI research, and external partners. Requires 10+ years of TPM experience and strong AI/ML literacy; hybrid role in Seattle.
DigitalOcean is hiring a Technical Program Manager in Seattle (hybrid) to drive delivery of physical infrastructure programs — data center build-outs, hardware deployment, and global fleet capacity — coordinating Product, Engineering, supply chain, facilities, and vendors. The role centers on cross-functional program delivery, risk management, and communication, with Jira/Confluence and AI tool fl
Staff-level IC on DigitalOcean's Applied Research team, owning the technical direction for feedback-driven learning in agentic AI systems — reward modeling, preference optimization (RLHF, DPO, PPO, GRPO), and evaluation infrastructure — shipping research to production. Hybrid role in Seattle; 8+ years of production AI/ML experience required.
Staff engineer setting technical direction across DigitalOcean's Security Products (IAM, KMS, CSPM, ISPM), designing identity, cryptographic, and posture systems at cloud scale using Go.
Owns the roadmap, development, and execution of DigitalOcean’s Managed MySQL Databases product, bridging engineering, GTM, and customer teams to drive scalable, high-performance database solutions for traditional and AI-driven workloads.
Lead the architecture of large-scale AI simulation systems that test multi-agent workflows, generate synthetic user personas, and evaluate LLM configurations for DigitalOcean’s Agentic AI platform.
Senior Product Security Engineer at DigitalOcean in Bengaluru, working hybrid to secure cloud infrastructure through code reviews, threat modeling, and building security tools like Semgrep and secrets management into CI/CD pipelines. Requires Python/JavaScript/PHP skills, AWS/GCP knowledge, and AI security expertise with frameworks like MITRE ATLAS and OWASP Top 10 for LLMs.
Senior engineer at DigitalOcean designing and scaling core account systems (Teams, Organizations, Projects, Tags) handling millions of events per second, using Go, JavaScript/Node.js, and cloud-native tools.
Principal Engineer focused on AI/ML security in DigitalOcean's CISO organization, owning the company's AI security strategy, governance framework, and multi-year roadmap. Day-to-day work spans AI red teaming (jailbreak, prompt injection, poisoning, model extraction), threat modeling across the AI lifecycle, deploying ML-based security detection, and briefing executives on AI risk — built on Python
Leads DigitalOcean's AI/ML security: owns the AI security strategy and multi-year roadmap, builds in-house ML guardrails and security tooling, runs AI red-teaming and threat modeling across the ML lifecycle, and owns AI risk & governance. Core stack: Python, Go, adversarial ML, LLM/RAG security, MITRE ATLAS and NIST AI RMF.
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