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Staff Engineer, Network Infrastructure

🔥 2 minutes ago

🍂 Massachusetts – Remote

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💵 $191.2k - $239k / year

⏰ Full Time

🔴 Lead

🛜 Network Engineer / Network Administrator

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of DigitalOcean

DigitalOcean

1001 - 5000 employees

Founded 2011

☁️ SaaS

SaaS • Cloud Computing

DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.

📋 Description

• Design and build network automation and orchestration systems for DigitalOcean's global network infrastructure • Develop software for network provisioning, configuration management, device lifecycle management, validation, monitoring, and automated remediation • Build software integrating with DPUs, SmartNICs, and programmable network infrastructure • Develop automation for large-scale datacenter and Point of Presence deployments, hardware, network fabrics, routing infrastructure, and vendor integrations • Abstract differences across network vendors and hardware implementations while maintaining operational safety and reliability • Build diagnostic tools and automate operational workflows • Translate complex networking and hardware requirements into maintainable software architectures • Establish engineering standards for infrastructure software development, testing, observability, and operational readiness • Lead projects from technical design through implementation, deployment, and long-term operation • Establish technical direction and make architectural decisions for network and infrastructure software • Author RFCs, architecture/design documents, technical proposals, project plans, and other technical documentation • Mentor engineers and provide technical leadership across the engineering organization • Evaluate emerging hardware and software technologies and identify opportunities for hardware acceleration • Partner across Network Infrastructure, Compute, Storage, Availability, Security, and Hardware/Platform Engineering

🎯 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 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 for highly available production environments • Ability to simplify complex infrastructure problems into scalable software architectures • Strong technical writing skills and ability to produce RFCs, architecture/design documents, technical proposals, project plans, and related documentation • Ability to turn ambiguous problems into technical proposals, documented requirements, architectural decisions, and 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 • Particularly valuable: experience with DPUs, SmartNICs, programmable data planes, eBPF, P4, or DPU/SmartNIC integration • Nice to have: hyperscale/cloud infrastructure, SONiC, white-box networking, 400G+ datacenter networks, OpenConfig, gNMI, NETCONF, YANG, streaming telemetry, Kubernetes, open-source infrastructure, and automated network validation/testing/remediation • Ability to actively leverage AI tooling while maintaining production-quality standards

🏖️ Benefits

• Reimbursement for relevant conferences, training, and education • Access to LinkedIn Learning's 10,000+ courses • Employee Assistance Program • Local Employee Meetups • Flexible time off policy • Bonus opportunity based on company and individual performance • Equity compensation, including equity grants upon hire • Option to participate in the Employee Stock Purchase Program

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