Jobs at DigitalOcean

Leads and scales multiple software engineering teams building DigitalOcean’s distributed compute control plane and orchestration services. Owns multi-quarter technical roadmaps, architectural standards, operational rigor, telemetry, SLOs, resource allocation, and cross-functional delivery. Guides Go microservices development, reduces technical debt, improves platform reliability and scalability, and fosters inclusive, high-performing engineering cultures.

Leads electrical, mechanical, controls, and infrastructure engineering for AI and cloud data centers. Develops engineering standards for GPU facilities and liquid cooling, oversees new builds and retrofits, performs colocation due diligence, and supports operations, construction, deployment, and design teams. Owns infrastructure specifications, documentation, and governance while driving reliability, scalability, compliance, operational excellence, talent development, and succession planning across the engineering organization.

Manage strategic customer accounts by providing cloud architecture guidance, technical consultations, troubleshooting, optimization, and adoption strategies. Conduct business reviews, identify retention and expansion opportunities, advocate for customer needs, coordinate escalations with internal teams, and deliver technical presentations and training. Develop tools and scripts to improve engagement efficiency while maintaining expertise in cloud infrastructure, Linux, automation, and major cloud platforms.

Own the vision, strategy, roadmap, packaging, pricing, and economics for DigitalOcean’s App Platform, Serverless Functions, and Container Registry. Partner with engineering, finance, infrastructure, and go-to-market teams to improve developer experience, utilization, reliability, performance, margins, and customer adoption. Lead discovery, define platform requirements and metrics, evaluate compute and runtime technologies, manage launches, and drive post-release results across managed cloud compute services.

The Contracts Director will negotiate complex commercial agreements for AI, SaaS, PaaS, and IaaS offerings; develop templates, playbooks, AI-enabled processes, and risk frameworks; and improve contract lifecycle management and legal tooling. The role partners with Sales, Finance, Operations, Product, and senior leadership to support scalable go-to-market operations, automate processes, manage strategic initiatives, and provide practical risk guidance.

Serves as a strategic people advisor to CPTO leaders, supporting workforce planning, organizational design, change management, talent and succession planning, performance and compensation decisions, employee relations, engagement, retention, and data-driven HR initiatives. Coaches senior leaders, guides investigations and restructures, uses HR analytics to inform decisions, and partners on culture and high-performing teams.

Design, implement, maintain, and troubleshoot large-scale global backbone and data center networks. Automate network provisioning and compliance using Python, Golang, and Salt; develop scalable routing and connectivity solutions; conduct capacity planning; optimize performance and availability; lead architecture reviews, maintenance windows, incident response, and network deployments; and provide technical guidance and documentation.

Build and operate DigitalOcean’s managed agent runtime platform for secure, scalable AI coding agents and agentic workflows. Responsibilities include distributed services, agent framework integrations, control-plane APIs, execution orchestration, sandboxed environments, developer APIs, observability, reliability, and end-to-end feature ownership. The role requires extensive backend engineering experience, AI/LLM integration expertise, distributed systems knowledge, and experience with cloud infrastructure, orchestration, databases, and high-throughput APIs.

Develop and maintain scalable control-plane software for DigitalOcean’s network products, including APIs, services, and tools. Responsibilities include implementing, testing, optimizing, and supporting reliable distributed systems; collaborating across networking teams; improving developer and customer experiences; establishing engineering best practices; and contributing to architecture, monitoring, performance, and mission-critical platform reliability.

Leads complex Agentic AI programs from planning and prototyping through production deployment. Partners with Product, Engineering, AI Research, platform, developer experience, and external partners to coordinate delivery, manage risks, resolve blockers, align stakeholders, and improve program processes. Translates technical AI/ML tradeoffs into decisions and action plans while building scalable operational practices that accelerate reliable delivery of AI capabilities.

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.

Own the product strategy, roadmap, and execution for DigitalOcean’s managed agentic AI infrastructure products. Define developer experiences, APIs, CLIs, documentation, pricing, packaging, and launch plans for services supporting long-running agents, tool execution, state management, secure sandboxes, identity, observability, and scale. Partner with customers, engineering, finance, security, legal, design, and go-to-market teams to turn emerging agent infrastructure needs into reliable, commercially successful products.

Leads technical accounting for complex transactions, financing, M&A, investments, leases, impairments, and new accounting standards. Prepares accounting memos, policies, SEC disclosures, cash flow and EPS reviews, and management controls. Partners with auditors, legal, FP&A, tax, reporting, and business teams; supports SOX-compliant processes, financial modeling, valuation, and transaction implementation. Mentors accounting staff and provides executive-level guidance in a high-growth technology environment.

Own the reference architecture and production operation of rack-scale GPU inference systems. Design NVLink domain allocation, RDMA fabrics, NCCL performance, Kubernetes topology-aware scheduling, multi-node serving, failure recovery, diagnostics, fleet lifecycle, and rack validation. Partner with data center teams, NVIDIA, and ODMs on hardware bringup, cooling, power, and deployment constraints. Set technical direction, mentor engineers, and represent the company in industry and customer engagements.

Own the technical vision and roadmap for DigitalOcean’s unified memory and storage layer supporting large-scale LLM inference. Design multi-tier systems across GPU memory, host memory, NVMe, and remote storage; integrate with vLLM, SGLang, and TensorRT-LLM; define KV-cache transfer, eviction, admission, and routing protocols; optimize performance and unit economics; and lead cross-functional architecture, mentorship, open-source contributions, and customer-facing technical initiatives.

Owns the end-to-end optimization of large language model inference across NVIDIA and AMD GPU fleets. Responsibilities include quantization, GPU kernel development, attention and MoE optimization, speculative decoding, parallelism strategies, benchmarking, regression infrastructure, and upstream contributions to serving frameworks. The role sets technical direction, partners with hardware vendors, mentors engineers, and drives production enablement for newly released models.

Designs and operates scalable Managed Database control-plane and infrastructure systems for PostgreSQL and MySQL workloads. Responsibilities include architecture, implementation, performance optimization, resiliency, automated failover, backups, point-in-time recovery, observability, and production on-call support. Leads cross-team technical projects, translates ambiguous requirements into designs, mentors engineers, conducts reviews, and improves reliability for high-concurrency, data-intensive, and AI-adjacent cloud workloads.

Owns project delivery and tier 2 support across DigitalOcean’s go-to-market systems. Responsibilities include implementing tools, building integrations and automations, maintaining Salesforce and related platforms, troubleshooting data flows, developing AI-powered workflows, coordinating with vendors, contributing to solution design, and documenting reusable patterns. The role requires strong Salesforce expertise, integration and API experience, SQL and warehouse fluency, familiarity with Apex, Python, or JavaScript, and at least five years administering and building GTM systems.

Leads DigitalOcean’s security and core platform services portfolio, including security products, security engineering, identity, billing, secrets management, and observability. Owns strategy, roadmap, business outcomes, operational excellence, compliance, and executive reporting. Builds and scales product and engineering organizations, manages investment trade-offs, defines performance metrics, supports incident escalation, and partners cross-functionally to deliver secure, reliable, customer-focused cloud capabilities.

Design, implement, test, and optimize scalable control-plane and data-plane services for cloud networking products. Build APIs, distributed systems, monitoring tools, and performance improvements while supporting existing products. Establish engineering best practices, improve reliability and delivery processes, collaborate across teams, and mentor engineers. The role requires strong Go development, networking expertise, cloud and containerization experience, and familiarity with technologies including eBPF, XDP, gRPC, Kafka, and Kubernetes.