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.
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).
- 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)
- $154,000 - $193,000
*This is a hybrid role
JR: 2026-7792
#LI-Hybrid
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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)
DigitalOcean Compensation & Benefits Highlights
-
Healthcare Strength — Health coverage includes medical, dental, vision, and mental-health support plus employer-paid life/AD&D/disability, with multiple plan options and above-average employer contributions. Offerings are described as market-leading and in some cases fully paid to keep premiums low.
-
Equity Value & Accessibility — Equity awards (new-hire and performance RSUs) are paired with an Employee Stock Purchase Plan offered at a discount. This ownership component augments cash compensation and broadens participation in company growth.
-
Parental & Family Support — Paid parental leave is provided for a defined period and includes a structured, part-time transition-back program. The approach emphasizes a smoother return-to-work experience for new parents.
DigitalOcean Insights
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.
Gallery
DigitalOcean Offices
Remote Workspace
Employees work remotely.
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.
