Jobs
Required Skills
BGP
OSPF
ISIS
MPLS
IPv4
IPv6
Python
Ansible
Role Description
As a Production Network Engineer focused on Dropbox’s Infrastructure organization, you will play a crucial role in designing, deploying, and operating the large-scale networking systems that power our global platform. You will impact areas such as datacenter, backbone, and edge networking, while also driving improvements in automation, configuration management, and telemetry systems to increase reliability and efficiency.
In this role, you’ll partner with domain experts, software engineers, and cross-functional infrastructure teams to eliminate single points of failure, strengthen resiliency, and scale our production environment to meet the needs of millions of users. You will gain exposure to complex, global-scale infrastructure projects, collaborate with senior technical leaders, and help shape the future of Dropbox’s production network.
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
Responsibilities
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Design, deploy, and operate Dropbox’s global production network across datacenter, backbone, edge, and cloud networking
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Support operations and on-call coverage for the production network, ensuring high reliability and availability
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Drive automation initiatives for network configuration, monitoring, and change management
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Develop and improve network telemetry and observability systems to enhance visibility and reliability
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Partner with global SMEs, software engineers, and operations teams to deliver scalable and secure infrastructure solutions
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Collaborate with cross-functional teams (traffic, physical infrastructure, security) to support end-to-end network initiatives
On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.
Requirements
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5+ years of experience in designing, deploying, and operating large-scale production networks.
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Hands-on experience with datacenter, backbone and edge networking at scale.
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Proficiency in core networking protocols such as BGP, OSPF/ISIS, MPLS and IPv4/IPv6.
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Strong background working with major networking vendors (e.g., Juniper, Cisco, Arista).
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Strong background in automation (e.g., Python, Ansible, or infrastructure-as-code tools).
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Familiarity with monitoring, observability, or telemetry systems for network reliability.
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Excellent collaboration and communication skills, with experience working on distributed global teams.
Preferred Qualifications
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Experience contributing to or leading network architecture projects in datacenter, backbone, or edge domains.
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Industry certifications such as CCNP/CCIE (Cisco), JNCIP/JNCIE (Juniper), or equivalent.
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Track record of developing or extending network automation frameworks
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Familiarity with cloud networking, traffic engineering, or peering deployments.
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Experience driving security-related remediation at scale (e.g., protocol hardening, vulnerability response).
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Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or equivalent practical experience.
Compensation
Poland Pay Range225 300 zł—304 800 zł PLN
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About Dropbox
Reviews
3.6
17 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.8
Career
3.2
Management
3.0
65%
Recommend to a Friend
Pros
High compensation packages
Remote/flexible work arrangements
Good work-life balance
Cons
Layoffs and job security concerns
Uncertainty about company future
Work may not be exciting
Salary Ranges
21 data points
Mid/L4
Mid/L4 · Data Engineer
3 reports
$197,993
total / year
Base
$152,302
Stock
-
Bonus
-
$188,500
$202,286
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
33%
Experience
Positive 33%
Neutral 67%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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