Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.
The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.
Position Overview
DevOps Engineers are critical when it comes to keeping both our customers and engineering team running. As part of the DevOps group you will work on products critical to our operations and software that proactively detects issues with systems in the data center, in the cloud, or at customer sites.
Responsibilities
DevOps Engineers will have a variety of responsibilities which may include things like:
- Design and implement pipelines and tools to ensure continuous integration, delivery, and deployment for our products
- Define and implement tools that enable other teams to follow DevOps best practices
- Own and deliver a suite of platform services consumed by internal stakeholders across teams and functions
- Work on cloud environments ensuring reliability and availability
- Ensure production deployments are fast, reliable, and safe
- Work with geo-distributed development teams to improve quality and time-to deploy
- Automate, Automate, Automate
Qualifications
- Required
- Relevant Bachelor's degree (Computer Science, Engineering, etc.)
- 1-2 years hands-on DevOps/SRE experience
- Belief in Dev
Ops and Agile principles:
- Zealous about automation
- Comfort in dealing with Cloud deployments, networking, and security best practices
- CI/CD pipeline experience (GitHub Actions, Jenkins, etc.)
- Hands on experience on Amazon Web Services (AWS)
- Hands on experience with Kubernetes
- Linux system proficiency
- Preferred
- Strong container/serverless experience
- Proficient knowledge of Python language
- Experience on Hashicorp ecosystem
- Terraform, Packer, Consul, Vault
- Experience with telemetry tools/pipelines (metrics, logs, and traces)
- Experience with RDS databases
Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.
Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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关于Vectra AI

Vectra AI
Series CVectra AI, Inc. is a cybersecurity company that uses AI for hybrid attack detection, investigation, and response (NDR) solutions. The company was established in 2011 and operates in 113 countries from its San Jose, California headquarters, with further locations in Singapore, Australia, and Japan.
201-500
员工数
San Jose
总部位置
评价
10条评价
3.7
10条评价
工作生活平衡
2.8
薪酬
3.5
企业文化
4.1
职业发展
3.2
管理层
2.5
65%
推荐率
优点
Supportive team and colleagues
Innovative/cutting-edge technology
Collaborative and inclusive culture
缺点
Poor management and lack of direction
Work-life balance challenges
High workload and demanding environment
薪资范围
59个数据点
Mid/L4
Senior/L5
Senior
Mid/L4 · SECURITY ENGINEER, PRE-SALES
3份报告
$218,400
年薪总额
基本工资
$168,000
股票
-
奖金
-
$218,400
$218,400
面试评价
3条评价
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Online Assessment
5
Technical Interview
6
Final Interview
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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