D

DigitalOcean

Runs cloud infrastructure for apps and AI

Staff Software Engineer - Network Infrastructure

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeDenver, CO, USARemote

About the Job

Requirements

  • Significant experience designing and building production software systems at scale.
  • Strong software engineering fundamentals, including distributed systems, API 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, APIs, or vendor SDKs.
  • 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, with demonstrated ability to produce RFCs, architecture and design documents, technical proposals, project plans, and other documentation required to drive complex engineering projects.
  • Ability to take ambiguous problems and turn them into clear technical proposals, documented requirements, architectural decisions, and actionable implementation plans.
  • Strong communication skills and ability to influence technical decisions across engineering teams.
  • Demonstrated ability to operate as a technical leader without relying on organizational authority.
  • Experience building software that uses DPUs for networking, security, storage, virtualization, or infrastructure offload; designing DPU orchestration, provisioning, lifecycle management, or configuration systems; working with programmable data planes, eBPF, P4, or other technologies used to implement network functionality in hardware or accelerated environments; or integrating DPUs or SmartNICs into cloud, datacenter, or virtualization infrastructure is particularly valuable.

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 DPUs, 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 to help engineers diagnose network and infrastructure issues and automate common operational workflows.
  • Identify manual, repetitive, or error-prone infrastructure operations and turn them 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 early technical design through implementation, deployment, and long-term operation.
  • Mentor engineers and provide technical leadership across the engineering organization.
  • Own technical direction for significant areas of network and infrastructure software.
  • Define software architecture for integrating emerging technologies such as DPUs 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 AI tooling to accelerate development, debugging, testing, documentation, and technical exploration while maintaining engineering judgment and production-quality standards.
  • Develop platforms, abstractions, and automation that enable other engineers to work faster.
  • Anticipate operational and scalability challenges before they become production problems.
  • Evaluate emerging hardware and software technologies for potential advantages to the infrastructure.
  • Raise the technical capabilities of the broader 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 for hyperscale or cloud infrastructure.
  • Production experience with DPUs, SmartNICs, or IPUs.
  • Experience with DPU-based network, storage, security, or virtualization offload.
  • Experience with SONiC or other disaggregated networking platforms.
  • Experience working 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

Runs cloud infrastructure for apps and AI

DigitalOcean provides cloud infrastructure for developers and businesses to build, host and scale applications and AI services. Teams rent virtual machines called Droplets, store data and run managed databases or Kubernetes clusters through a web console and APIs. Its AI services supply GPU computing, model inference and managed environments where software agents use tools and retain information between sessions. Customers pay for the resources they use, with subscriptions and managed services helping teams run applications without maintaining all the underlying infrastructure themselves. DigitalOcean was founded in 2012 and is headquartered in Broomfield, Colorado.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Broomfield, CO
Founded
2012

Recently Posted Jobs

Explore more opportunities at DigitalOcean

See more jobs