Jobs at DigitalOcean

Lead engineering for DigitalOcean's LLM inference product suite, owning Serverless/Dedicated/Router/Batch/Multimodal offerings. Drive model optimization, architecture, and hardware-aware inference (quantization, KV-cache, speculative decoding, disaggregated serving). Recruit and mentor teams, collaborate cross-functionally, ensure production health and SLAs, and institutionalize benchmarking, observability, and auto-tuning to deliver cost-efficient, high-performance inference at scale.

Design, build, and maintain security products and infrastructure: real-time detection engines (Flink/Kafka), high-performance APIs (Go/Node.js), streaming analytics, Kubernetes at hyperscale, and petabyte-scale data pipelines. Lead technical designs, collaborate with security teams, and mentor junior engineers.

Design, develop, test, and maintain DigitalOcean's low-level virtualization stack for Droplets. Collaborate across hardware, kernel, observability, and product teams to support scale, security, GPU/AI workloads, and new hardware. Contribute to open source virtualization projects, validate hardware, backport and deploy patches, improve release pipelines, and participate in on-call rotations.

Design, implement, and maintain large-scale datacenter and global backbone networks. Diagnose and resolve complex network issues, automate provisioning and compliance with Python/Go/Salt, perform capacity planning, lead maintenance and migrations, run proofs-of-concept, and produce network documentation, runbooks, and BOMs while mentoring team members and coordinating incident responses.

The Senior Data Center Engineer II is responsible for deploying and maintaining data center infrastructure, troubleshooting hardware and software issues, managing documentation, and mentoring junior engineers.

Lead hardware architecture for DigitalOcean's next-generation CPU, GPU, storage, and infrastructure platforms. Own roadmap, drive hardware selection and qualification, design end-to-end server and storage topologies, run PoCs and scale pilots, mentor engineers, and represent the company externally.

Lead DigitalOcean Managed PostgreSQL: own strategy, architecture, reliability, scalability, and AI-native integration. Build hyperscaler-grade reliability, scale Advanced Edition for large workloads, partner across Product/GTM/SRE, and grow a high-performing global engineering organization.

The Staff AI Product Manager will drive product strategy for GPU offerings, conduct market analysis, collaborate with teams for product development, and advocate for customer needs. Responsible for managing product lifecycle and utilizing data-driven approaches for product success.

Lead hardware design and vendor projects, develop hardware automation and orchestration, troubleshoot and triage Tier 3 fleet hardware issues, participate in 24/7 on-call rotation, improve firmware/configuration automation, mentor teammates, and support scaling of data center server platforms and components.

Lead design and future architecture of DigitalOcean data centers, owning MEP, cooling and power topologies (air to 800VDC liquid rack-scale), run PoCs, support site selection, mentor engineers, and translate AI/ML hardware roadmaps into scalable, deployable global standards.

Lead and validate large-scale data center deployments including rack builds, cabling validation, hardware and GPU rollouts, vendor coordination, troubleshooting across hardware, cabling, Linux, networking and optics, training site teams, maintaining runbooks and tooling, and supporting extended onsite domestic and international deployment schedules.

Lead and mentor a multidisciplinary engineering team to build and deliver scalable security products (IAM, threat detection, data protection). Drive technical roadmap, manage delivery timelines and inter-team dependencies, prioritize technical debt, ensure code quality and security best practices, collaborate with product and security architects, and handle recruitment and career development.

Manage the execution of Security Products by translating customer needs into requirements, collaborating with engineering and UX, and ensuring consistent communication for product launches and incidents.

Lead and grow the Inference Orchestration engineering team to design, build, and operate Kubernetes-based AI infrastructure at scale. Drive scheduling, GPU utilization, topology-aware placement, checkpoint/restore for long jobs, fault tolerance, model distribution, security isolation, and cross-functional delivery to meet performance, cost, and reliability goals.

Serve as a strategic technical partner for key customers: design and advise on cloud architectures, run technical workshops, proactively monitor usage, resolve escalations with engineering, drive retention and expansion, and develop tools and documentation to improve Technical Account Management efficiency.

Provide full-stack product legal counsel across the product lifecycle for cloud and AI offerings. Advise on privacy, security, IP, open-source, export control, and AI regulation; draft and negotiate commercial and data protection agreements; support incident response and regulatory matters; and build scalable legal playbooks, templates, and automation to empower Product, Engineering, and GTM teams.

Lead technical go-to-market for AI-native cloud product lines: define positioning, build technical demos and code, create deep technical content, run repeatable launches, arm sales with enablement and metrics, and mentor other PMMs to raise team standards.

Own technical go-to-market for AI-native cloud products and market segments. Translate complex capabilities into narratives, build demos and code, create technical content, run launches, enable sales, monitor market/competitive signals, and engage developer communities to drive adoption, pipeline, and wins.

Lead global communications strategy, unify PR, corporate and analyst relations, manage digital and social channels, establish KPIs and attribution, provide C-suite media counsel, and build and mentor a high-performing communications team to increase brand awareness, manage crises, and drive business impact.

As a Cloud Operations Administrator, ensure uptime for infrastructure, automate processes, troubleshoot issues, and coordinate operational work for improvement.