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Senior Software Engineer: Configuration Management/Deployment
Amsterdam, Netherlands
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Equity
•Parental Leave
•Learning
Required Skills
Node.js
JavaScript
PostgreSQL
About the Role
The Amsterdam Infrastructure team is part of Ubers global Platform Engineering organisation and aims to provide the highest quality, reliable, scalable and secure compute/data platforms to Uber employees globally, backed by a strong commitment to customer service.
We have a sophisticated infrastructure spanning both on-premise data centers and cloud, supporting a diverse variety of workloads, each different in its characteristics and requirements that support our internal corporate use cases and teams
As we grow our Amsterdam team, we look for experienced engineers who are keen to solve infrastructure challenges at a massive scale!
What the Candidate Will Do
- Write and review code for VM-based application deployments, security tooling, and OS hardening.
- Partner with internal teams to help them deploy their applications into the environment
- Devise, maintain, and optimize safe deployment pipelines
Basic Qualifications
- Bachelor's/Master's degree in Computer Science or equivalent experience
- Expertise in configuration management/code deployment pipelines and strategies
- Skilled in system-level architecture, like Linux or Windows
Preferred Qualifications
- Familiarity with observability tools such as Prometheus, Grafana, and the Elastic stack
- GCP, AWS, and/or Kubernetes certifications are strongly preferred
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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