Senior Network Engineer

Reposted 2 Months Ago
Seattle, WA, USA
Hybrid
154K-193K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
Design, implement, and maintain large-scale datacenter and global backbone networks. Diagnose and resolve complex network issues, automate provisioning and compliance with Python/Go/Salt, perform capacity planning, lead maintenance and migrations, run proofs-of-concept, and produce network documentation, runbooks, and BOMs while mentoring team members and coordinating incident responses.
Summary Generated by Built In

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. 

We are looking for a Senior Network Engineer who is passionate about building large scale networks on the Internet. 

As a Senior Network Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. Reporting to the Manager of Network Infra, the Senior Network Engineer will be part of a team that is designing, implementing and maintaining the DigitalOcean network from the Internet edge to the hypervisor connections. Our networks need to be massively scalable, and enable systems agility, while providing our hundreds of thousands of customers with the most stable platform. We work with other infrastructure and engineering teams to ensure new products and features have scalable network architectures and will provide the performance our customers require.

What You’ll Do:
  • Diagnose complex network issues using packet analysis, flow data, and monitoring tools. Perform root cause analysis and implement permanent fixes to maintain organizational SLA compliance and high availability. 
  • Develop scripts and workflows using Python, Golang and Salt to automate provisioning, configuration changes, and compliance auditing across the DigitalOcean network infrastructure. 
  • Develop scalable network solutions for data center and cloud connectivity using protocols such as BGP, ISIS, MPLS, VxLAN, and SR (Segment Routing) across the network environment. 
  • Help in capacity planning and availability by analyzing traffic patterns, forecast growth and recommend hardware/bandwidth upgrades, implement and fine tune QoS policies and routing to optimize throughput and latency to ensure our customers have the best experience. 
  • Provide technical guidance to team members, conduct design and architecture reviews, and create network documentation including topology diagrams, Standard Operating Procedures and runbooks. 
  • Research emerging networking solutions, conduct proof-of-concept deployments and testing, and make recommendations to leadership on technology adoption; work with vendors to help validate designs and network hardware. 
  • Plan maintenance windows, draft change requests with rollback procedures, and lead cross-functional communication during upgrades, migrations and cutovers. 
  • Serve as a Senior escalation point for the mission critical network. Coordinate with the CloudOps during outages and conduct post-incident reviews and drive continuous improvement. 
  • Develop comprehensive documentation, including bills of materials, scopes of work, and deployment procedures for the network hardware and software installation in new Points of Presence (POPs) and Data Centers (DCs).
What You’ll Add to DigitalOcean:
  • BA/BS in Computer Science or equivalent degree
  • Knowledge of and demonstrated ability in at least one of the following languages: Go, Python
  • Expertise with Linux
  • Expertise working with Juniper hardware (e.g., MX, QFX, EX, SRX) and the Junos operating system
  • Experience with CI/CD, containers and/or virtualization, web servers, and databases
  • Hands-on experience with observability tools such as Prometheus, Grafana, or the ELK stack
  • Experience with automation frameworks (Salt preferred)
  • Good knowledge of code versioning tools such as Git, and accustomed to multi-branches development
  • Experience working on, building, and troubleshooting large-scale datacenter networks
  • Experience working on, building, and troubleshooting global backbone networks
  • Experience working with Nokia, Arista, and Ciena
  • Experience working with typical layer-2 and -3 protocols such (e.g., BGP, OSPF, VRRP, IS-IS ,LACP,MC-LAG)
  • Experience working with MPLS, including BGP-LU (RSVP-TE experience a plus)
Compensation Range: 
  • $154,000 - $193,000

*This is a hybrid role

JR: 2026-7792

#LI-Hybrid

Why You’ll Like Working for DigitalOcean
  • We innovate with purpose. You’ll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you’ll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture.
  • We prioritize career development. At DigitalOcean, you’ll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy. 
  • We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.
    • Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
    • Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Skills Required

  • BA/BS in Computer Science or equivalent degree
  • Proficiency in at least one language: Go or Python
  • Expertise with Linux
  • Experience with Juniper hardware (MX, QFX, EX, SRX) and Junos OS
  • Experience with CI/CD, containers and/or virtualization, web servers, and databases
  • Hands-on experience with observability tools (Prometheus, Grafana, ELK)
  • Experience with automation frameworks (Salt preferred)
  • Good knowledge of Git and multi-branch development workflows
  • Experience building and troubleshooting large-scale datacenter networks
  • Experience building and troubleshooting global backbone networks
  • Experience with networking vendors Nokia, Arista, and Ciena
  • Experience with layer 2 and 3 protocols (BGP, OSPF, VRRP, IS-IS, LACP, MC-LAG)
  • Experience with MPLS, including BGP-LU (RSVP-TE a plus)

What the Team is Saying

DigitalOcean Compensation & Benefits Highlights

  • Leave & Time Off Breadth — Flexible paid time off is prominently advertised and frequently characterized as generous and practical to use. Feedback suggests employees value the autonomy around time away from work.
  • Parental & Family Support — Paid parental leave is highlighted as above average, with examples of phased return-to-work support. Feedback suggests family-support programs are a meaningful part of the total package.
  • Healthcare Strength — Medical, dental, vision, and mental-health coverage are consistently described as comprehensive and well-regarded. Feedback suggests health benefits are a standout strength relative to other areas.

DigitalOcean Insights

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The Company
HQ: Broomfield, CO
1,400 Employees
Year Founded: 2012

What We Do

DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.

Why Work With Us

At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.

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DigitalOcean Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.

Typical time on-site: Not Specified
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HQBroomfield, CO
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Seattle, WA
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Hyderabad, Telangana
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