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DigitalOcean

Cloud platform enabling rapid app deployment

Staff Engineer - Network Infrastructure

Full-Time
$191.2k - $239k/yr+ Bonus + Equity compensation
Senior
Seattle, WA, USA
HybridHybrid work is required.

About the job

Requirements
  • Significant experience designing and building production software systems at scale.
  • Strong software engineering fundamentals, including distributed systems, application programming interface design, concurrency, testing, observability, and system reliability.
  • Strong programming experience in one or more languages such as Go, Python, or C++.
  • Experience building automation, orchestration, or infrastructure platforms.
  • Strong understanding of networking, including TCP/IP, BGP, EVPN/VXLAN, VLANs, routing, switching, and network telemetry.
  • Experience working with network devices, network automation frameworks, application programming interfaces, or vendor software development kits.
  • Experience designing systems that operate safely in highly available production environments.
  • Ability to understand complex infrastructure problems and simplify them into scalable software architectures.
  • Strong technical writing skills, including the ability to produce RFCs, architecture and design documents, technical proposals, project plans, and other documentation required to drive complex engineering projects.
  • Ability to turn ambiguous problems into clear technical proposals, documented requirements, architectural decisions, and actionable implementation plans.
  • Ability to influence technical decisions across engineering teams.
  • Demonstrated ability to operate as a technical leader without relying on organizational authority.
Responsibilities
  • Design and build network automation and orchestration systems for reliable deployment and operation of global network infrastructure.
  • Develop software for network provisioning, configuration management, device lifecycle management, validation, monitoring, and automated remediation.
  • Design and build software systems that integrate with Data Processing Units, SmartNICs, and programmable network infrastructure.
  • Develop automation for large-scale datacenter and Point of Presence deployments, including new hardware, network fabrics, routing infrastructure, and vendor integrations.
  • Build systems that abstract differences across network vendors and hardware implementations while maintaining operational safety and reliability.
  • Build tools that help engineers diagnose network and infrastructure issues and automate common operational workflows.
  • Turn manual, repetitive, or error-prone infrastructure operations into scalable software solutions.
  • Partner with network engineers and infrastructure architects to translate networking and hardware requirements into maintainable software architectures.
  • Establish engineering standards and best practices for infrastructure software development, testing, observability, and operational readiness.
  • Lead projects from technical design through implementation, deployment, and long-term operation.
  • Own technical direction for significant areas of network and infrastructure software.
  • Define software architecture for integrating emerging technologies such as Data Processing Units and programmable infrastructure into the production environment.
  • Identify systemic infrastructure problems and define solutions spanning multiple teams and infrastructure layers.
  • Make architectural decisions balancing scalability, reliability, performance, hardware capabilities, operational complexity, and engineering velocity.
  • Lead ambiguous, high-impact initiatives from problem definition through design, implementation, deployment, and operation.
  • Own the technical documentation and RFC process for major initiatives, documenting architecture, requirements, alternatives, tradeoffs, dependencies, risks, and decisions.
  • Use artificial intelligence tooling to accelerate development, debugging, testing, documentation, and exploration of technical solutions while maintaining production-quality standards.
  • Develop platforms, abstractions, and automation that enable other engineers to move faster.
  • Anticipate operational and scalability challenges before they become production problems.
  • Evaluate emerging hardware and software technologies and determine where they can provide advantages to infrastructure.
  • Raise the technical capabilities of the engineering organization through mentoring, design reviews, technical documentation, and technical leadership.
  • Build partnerships across Network Infrastructure, Compute, Storage, Availability, Security, and Hardware/Platform Engineering.
Desired Qualifications
  • Experience building software that uses Data Processing Units for networking, security, storage, virtualization, or infrastructure offload.
  • Experience designing Data Processing Unit orchestration, provisioning, lifecycle management, or configuration systems.
  • Experience with programmable data planes, eBPF, P4, or technologies used to implement network functionality in hardware or accelerated environments.
  • Experience integrating Data Processing Units or SmartNICs into cloud, datacenter, or virtualization infrastructure.
  • Experience building software for hyperscale or cloud infrastructure.
  • Production experience with Data Processing Units, SmartNICs, or IPUs.
  • Experience with Data Processing Unit-based network, storage, security, or virtualization offload.
  • Experience with SONiC or other disaggregated networking platforms.
  • Experience with white-box networking and multiple network vendors.
  • Experience building or operating 400G+ datacenter networks.
  • Experience with OpenConfig, gNMI, NETCONF, YANG, or similar network management technologies.
  • Experience with streaming telemetry and large-scale network observability.
  • Experience building automated network validation, testing, or remediation systems.
  • Experience with Kubernetes and cloud-native infrastructure.
  • Experience with eBPF, P4, programmable data planes, or hardware-accelerated networking.
  • Experience contributing to or leading open-source infrastructure projects.

About the company

DigitalOcean provides cloud computing infrastructure for developers, startups and SMBs to build, deploy, and scale applications using Droplets, managed databases, Kubernetes, object storage, and networking. It offers simple provisioning via a dashboard and APIs with fully managed services so teams avoid managing underlying infrastructure. It differentiates itself through a focus on simplicity, a strong developer community, open-source alignment, affordable pricing, and responsive support. The goal is to free developers from infrastructure chores so they can focus on coding and growing their business.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Broomfield, Colorado

Founded

2012

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Simplify Jobs

Simplify's Take

What believers are saying

  • Managed Agents entered public preview on September 21, 2026, expanding AI workload monetization.
  • September 10, 2026 financing gives DigitalOcean $725 million for GPUs, CPUs, and capacity.
  • Q2 2026 revenue guidance rose to $1.170-$1.180 billion, implying 30%-31% annual growth.

What critics are saying

  • AWS, Azure, and Google Cloud still dwarf DigitalOcean on breadth and enterprise procurement.
  • September 10, 2026 equipment financing adds heavy obligations through 2030 if AI demand slips.
  • April 10, 2026 layoffs at Broomfield show management still trims staff while chasing growth.

What makes DigitalOcean unique

  • DigitalOcean’s September 22, 2026 Managed Agents bundles execution, tools, and inference.
  • v5 Droplets use 5th Gen AMD EPYC for simpler workload-specific sizing.
  • DigitalOcean targets SMBs with predictable pricing and developer-friendly infrastructure, not enterprise sprawl.

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Benefits

Remote-first

Full health coverage

Wellness coverage

Flexible vacation time

Team-building & social events

401(k) plans

ESPP

Education support

Partner support

Employee giving

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↑ 1%

2 year growth

↑ 0%
IT Digest
Sep 23rd, 2026
DigitalOcean debuts Managed Agents to streamline AI execution, inference, and tool access.

DigitalOcean debuts Managed Agents to streamline AI execution, inference, and tool access. Developing and scaling enterprise-grade AI agents has encountered a significant infrastructure bottleneck: the operational complexity of stitching together disparate compute sandboxes, credential management layers, and inference providers. While autonomous agents are expected to execute complex tasks such as diagnosing system errors, running simulations, or orchestrating multi-system workflows traditional cloud virtual machines and local development environments lack the native security isolation, low-latency persistence, and execution efficiency that agentic workloads demand. Addressing these developer friction points, cloud infrastructure provider DigitalOcean announced the release of Managed Agents. By bringing agent execution runtimes, governed tool integration, and serverless LLM inference onto a single integrated cloud platform, DigitalOcean eliminates the need for software engineering teams to manually build and maintain custom sandbox environments. The news: Hardware-Isolated sandboxes, governed tool gateways, and billing optimization. The core technological advance of DigitalOcean Managed Agents centers on providing purpose-built primitives specifically designed for agentic workflows rather than retrofitting general-purpose virtual infrastructure. Key capabilities introduced in the public preview launch include: Hardware-Isolated Harness Runtime: Executes agent sessions within dedicated Firecracker microVM sandboxes, providing hardware-level isolation for executing generated code, installing dependencies, and running background processes safely. Action Gateway Tool Governance: Provides agents with access to over 16,000 tools and Model Context Protocol (MCP) servers, brokering API credentials at execution time outside the model's context window while enforcing human-in-the-loop approval guardrails for sensitive actions. Sub-Second Pause and Resume Persistence: Features an auto-pause mechanism that snapshots session state (files, memory, and processes), resuming execution in roughly 300 milliseconds when new tasks are triggered. Active CPU Usage Pricing Model: Charges developers strictly for active compute cycles, pausing CPU and memory fees while agents wait for model inferences or external tool responses. Native Ecosystem Integration: Connects directly with DigitalOcean's Serverless Inference Engine - supporting over 75 models - as well as managed databases and object storage. Transforming the Enterprise Cloud & AI infrastructure industry. DigitalOcean's launch of Managed Agents marks a major structural shift across the Enterprise Cloud Infrastructure, AI Development Tools, and Cloud PaaS sectors. The Obsolescence of "Stitched-Together" Agent Sandboxes For the past two years, developers building agentic AI applications were forced to assemble custom stacks purchasing compute sandboxes from one vendor, credential brokers from another, and inference tokens from a third. This multi-vendor approach introduced severe operational friction, high latency, complex billing structures, and security vulnerabilities due to scattered credential handling. DigitalOcean's release accelerates the phase-out of piecemeal agent setups. The cloud platform industry is entering an integrated AI-native cloud era. Infrastructure providers are no longer evaluated simply on raw compute pricing or virtual machine provisioning speeds, but on whether they deliver unified execution sandboxes with native credential security and model access out-of-the-box. Setting New Benchmarks for Consumption-Based Compute Economics Traditional cloud instances charge for continuous compute uptime regardless of whether an agent is actively executing code, waiting for LLM tokens, or paused for human approval. By stopping compute charges when agents idle and offering sub-second resume capabilities, DigitalOcean establishes agent-aware consumption economics as an industry benchmark. Cloud vendors must adapt their billing architectures to accommodate non-linear, bursty agentic execution patterns, lowering total cost of ownership (TCO) for enterprises deploying thousands of parallel agents. Broad operational impact on businesses operating in the cloud & AI sector. For Chief Technology Officers (CTOs), engineering managers, and AI application developers operating across the cloud infrastructure ecosystem, adopting a unified agentic runtime provides direct strategic advantages: Lower Total Cost of Ownership (TCO): Stop-the-clock compute fee discounts on model inference latency can reduce monthly cloud infrastructure costs by up to 37. relative to standalone sandbox services. Improved Security and Zero Credential Leakage: (Action Gateway) Brokered API keys in transit at runtime "in the Action Gateway" ensures sensitive corporate tokens are protected from the LLM prompts or agent memory contexts. Faster Time-to-Market for Agentic Products: agency teams can skip weeks of building infrastructure and get to work by as cheap, deploy parallel coding agents, support triage automation, and workflow bots right away. Minimized vendor lock-in: enterprise applications can stay compatible across large software ecosystems as long as there's native support for open-weight models, generated container images (OCI), and open MCP protocols. By bringing execution environments, managed tool registry, and serverless inference under one cloud, DigitalOcean offers enterprise software teams the building blocks for securely scaling autonomous AI from isolated research projects to production- ready infrastructure.

Yahoo Finance
Sep 22nd, 2026
DigitalOcean launches Managed Agents with isolated harness runtime and 16K+ tools

DigitalOcean has launched a public preview of Managed Agents, a service providing integrated agent execution, tool access, and inference on a single cloud platform. The offering gives each agent its own isolated harness runtime, governed access to over 16,000 tools, and serverless inference across more than 75 models. The service addresses challenges in running AI agents that handle complex tasks like diagnosing checkout errors and coordinating business workflows. Each session operates in a hardware-isolated environment with brokered credentials, whilst environments start and resume in milliseconds rather than minutes. OpenHands, Qencode, and Amplitude are already building on the platform. DigitalOcean positions agents as the entry point to its AI-native cloud infrastructure, contrasting with traditional virtual machine-based cloud computing.

The Register
Sep 17th, 2026
Omarchy gains $18.5M in backing, fresh converts — and fierce critics

Omarchy, an Arch-based Linux distribution created by Ruby on Rails founder David Heinemeier Hansson, has secured $18.5 million in backing, including multiyear commitments and AI tokens. Patrons include OpenRouter, Four Technologies, DigitalOcean, Meta Superintelligence Labs, Anthropic, OpenAI, and Fireworks. The project has released version 4.0.3 and announced Omarchy M for Apple Silicon Macs. The Omacom Foundation reports that the distribution's latest version was built almost exclusively by AI agents. Three developers have been hired, including kernel developer Krzysztof Wilczyński. However, Omarchy faces significant criticism in the open-source community. Critics, including prominent developers Matthew Garrett and Jürgen Geuter, have accused the project of promoting right-wing politics and being "fundamentally incompatible with the goals of free software." A "Stop Omarchy" campaign has emerged opposing the distribution.

Vale.Rocks
Sep 15th, 2026
Sep 14, 2026, 18:35 PDT - CSS-Tricks in limbo.

Sep 14, 2026, 18:35 PDT - CSS-Tricks in limbo. I'm sad to say that CSS-Tricks is stuck in limbo again. The site was acquired by Digital Ocean in 2022, and it continued to run under their ownership until February of 2023, when DigitalOcean fired the people working on it. The site stayed latent for a year before DigitalOcean re-hired lead editor Geoff Graham in June of 2024, who got the ship sailing again. Now, CSS-Tricks sits inactive again. Its future is unclear, because there hasn't been any communication. DigitalOcean largely just went silent. DigitalOcean is a big company, and it can be expected that things get missed, especially with staff turnover. However, management is a small part of a larger picture. Only a few days ago, DigitalOcean pledged a $3,000,000 USD donation to Omarchy - a set of scripts and configurations atop Arch Linux and a range of other open-source software (much of which struggles greatly for funding). A set of scripts and configurations which are led by David Heinemeier Hansson (DHH), previously of Ruby on Rails fame, but now of Omarchy notoriety and far-right, racist infamy. CSS-Tricks being ignored isn't a matter of effort or time; it is a matter of care. As David Heinemeier Hansson wrote announcing DigitalOcean's funding: But the part of this patronage that really made me smile was how quickly it all came together. I reached out to Paddy Srinivasan, DigitalOcean's CEO, on X on Wednesday. We had a call that same night. I sent a proposal on Saturday. By Sunday, we'd finalized everything. I know Geoff has been trying to raise CSS-Tricks' predicament for months, to no avail. Atop of this, DigitalOcean has ceased the monthly $50 payments they previously gave to GNOME and Flathub infrastructure. Apparently it is a more pressing matter for them to donate to a collection of scripts and configuration files than to contribute to the projects they're built upon or to pay the writers and editors of their own publication. Yes, I've got skin in the game as someone who has written for the publication, but I've got more skin in the game as someone who wishes for a thriving ecosystem and who wants to read the exemplary work CSS-Tricks is known for publishing. There are very few quality publications about the web left, and it would be a major blow to lose another. 25 Reposts 18 Likes

Kalkine Media
Sep 11th, 2026
DigitalOcean secures $725M equipment financing with option to expand to $1.025B

DigitalOcean has secured $725 million in equipment financing to fund data centre acquisitions, with an option to expand the facility to $1.025 billion. The company filed details with the SEC on 10 September 2026. The financing comes from MUFG Americas Capital Leasing & Finance, with MUFG Bank serving as administrative and collateral agent. DigitalOcean can request advances until 10 September 2027, with the lessor providing up to 90% of equipment costs per advance. Each advance carries a fixed interest rate equal to the term SOFR swap rate plus 2.75% annually. Monthly payments will fully amortise each advance by 10 September 2030. The facility is guaranteed by DigitalOcean and certain subsidiaries, secured by the equipment and related collateral.