Jobs at DigitalOcean

Serve as a strategic technical partner for key cloud customers by designing architectures, providing consultations, conducting QBRs, optimizing performance and costs, driving retention and expansion, resolving escalations, and advocating for customer needs. Build tools and scripts, deliver technical presentations and training, maintain documentation, and collaborate with Engineering, Support, Marketing, and Account Management.

Own the vision, roadmap, developer experience, pricing, and unit economics for DigitalOcean’s App Platform, Serverless Functions, and Container Registry. Partner with engineering, finance, infrastructure, and go-to-market teams to improve platform efficiency, reliability, performance, adoption, retention, and margins. Responsibilities include customer discovery, compute capacity and cost modeling, architecture tradeoffs, competitive analysis, launches, and post-launch outcomes.

Leads complex commercial contract negotiations supporting AI, SaaS, PaaS, and IaaS offerings. Builds scalable go-to-market contracting processes, templates, playbooks, risk frameworks, and legal tools. Partners with Sales, Finance, Operations, Product, and senior leadership on contract lifecycle management, quote-to-cash processes, automation, strategic agreements, and high-priority initiatives. Requires extensive technology-sector negotiation experience, strong business judgment, and excellent communication skills.

Own the end-to-end console experience for DigitalOcean, including navigation, information architecture, onboarding, shared surfaces, and cross-product patterns. Lead the design system as a product by managing its component library, roadmap, standards, and adoption across teams. Establish quality processes, mentor engineers through guilds and reviews, collaborate closely with engineering, and shape the creative direction of the console. Drive reusable, scalable design solutions that improve usability for both novice and expert cloud infrastructure users.

Architects and implements scalable managed database control-plane and infrastructure systems. Owns performance, resiliency, failover, backups, recovery, observability, and production operations for PostgreSQL and MySQL services. Translates ambiguous requirements into technical architecture, leads cross-team projects, mentors engineers, reviews designs and code, and improves systems supporting high-concurrency, data-intensive, and AI-adjacent workloads.

Own end-to-end projects across DigitalOcean’s go-to-market systems, including implementations, integrations, automations, data flows, Salesforce configuration, and AI-powered workflows. Handle tier 2 escalations, troubleshoot cross-system issues, coordinate with vendors, contribute to solution design, document reusable patterns, and mentor an engineer. The role requires deep Salesforce expertise, integration and API experience, SQL and warehouse fluency, familiarity with code, and the ability to deliver durable production solutions.

Design, build, test, and optimize scalable control-plane and data-plane software for cloud networking products. Develop APIs, improve performance, reliability, monitoring, and customer experience, while supporting products end to end. Collaborate across teams, establish engineering and architecture best practices, automate delivery processes, and mentor engineers. The role requires strong Go and distributed-systems experience, networking knowledge, cloud and containerization expertise, and familiarity with technologies such as eBPF, XDP, Kubernetes, and gRPC.

Design and build software for global network infrastructure, including automation, orchestration, provisioning, lifecycle management, telemetry, validation, remediation, and DPU/SmartNIC integration. Lead architecture for scalable, reliable infrastructure systems, write RFCs and technical proposals, guide cross-functional initiatives, establish engineering standards, mentor engineers, and provide technical direction for emerging programmable and hardware-accelerated networking technologies.

Lead DigitalOcean’s AI/ML security strategy, architecture, governance, and multi-year roadmap. Build security controls, guardrails, tooling, and automations; oversee AI red teaming, adversarial testing, threat modeling, and model monitoring. Review AI product architectures, guide high-risk decisions, establish responsible AI policies, and brief executives and the board on AI security risks. Serve as the internal expert and external representative on emerging AI security topics, including agentic AI, model supply chains, prompt injection, and data integrity.

Lead benchmarking and low-level performance optimization for GPU-based inference. Solve memory, precision, and parallelization bottlenecks, tune kernels (CUDA/Triton/ROCm/AMD AITER), implement quantization (FP8/INT8/FP4), advise on hardware/software integration, mentor engineers, and translate hardware limits into shippable features for high-throughput, low-latency inference fleets.

Assess product and application architectures, develop threat models, identify security risks, and guide engineering teams on remediation. Promote security culture through training, mentoring, vulnerability management, and internal security initiatives. Build security tooling, automation, patterns, and workflows that embed secure-by-design practices across engineering. Partner with product managers, designers, and engineers to secure complex, large-scale cloud systems.

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.