招聘
必备技能
Python
Java
AWS
Kubernetes
Linux
GCP
Azure
Job Summary
As a Software Engineer, your responsibilities will include developing and maintaining cloud-based solutions. You will focus on solving complex problems, developing, testing, automating and collaborating with the Software Engineering team to deploy features in a production environment. Additionally, you will be responsible for designing and implementing managed Cloud Services based on given requirements. We expect you to have excellent coding skills and take a lead role in designing and implementing managed Cloud Services.
Prior experience in Filesystems would be an added advantage, and you should also have the ability to quickly learn existing code and architecture.
Job Requirements
- 5+ years experience and must be hands-on with coding.
- Excellent Problem solver, proficient coder and a designer.
- Thorough understanding and extensive experience with Block/File technologies having hands-on experience in designing and developing software solutions.
- Proficient with any of the languages C, C++ or Golang.
- Experience with Python, Java/C-sharp is added advantage. Thorough understanding of Linux or other Unix-like Operating Systems.
- Strong in Data Structure and algorithms.
- Expertise in REST API design and implementation.
- Prior experience with Filesystem development and Distributed system design is desirable.
- Understanding of Container based technologies preferably Kubernetes & Dockers and experience with Cloud service APIs (e.g. AWS, Azure or GCP) is desirable.
- Continuously monitor, analyze, and measure system health, availability, and latency using Google native tooling. Develop and implement steps to improve system and application performance, availability, and reliability.
- Knowledge of infrastructure like hypervisor, Cloud Storage and experience with cloud services including Databases, Caching, Object and Block Storage, Scaling, Monitoring, Load Balancers, Networking etc. is added advantage.
- Mentor new team members, participate in interviews, and contribute to building high-performance teams.
- Work on development, bug fixes/updates, spec updates, customer RCAs and automation.
- Strong oral and written communication skills.
- Engage in incident management processes including the 24X7 Oncall rotations ( as per the sun model) to resolve production issues within agreed SLAs/SLOs.
Education
- B.E/B.Tech or M.S in Computer Science or related technical field
Compensation:
The target salary range for this position is $131,000-$160,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.
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关于NetApp
NetApp
PublicNetApp is a multinational computer storage and data management company that provides software, systems and services for managing enterprise data.
10,001+
员工数
San Jose
总部位置
$18.2B
企业估值
评价
3.5
10条评价
工作生活平衡
4.0
薪酬
2.8
企业文化
4.2
职业发展
2.5
管理层
2.7
65%
推荐给朋友
优点
Good work-life balance and flexible hours
Supportive management and colleagues
Diverse and inclusive environment
缺点
Limited career advancement opportunities
Poor management and leadership direction
Pay and compensation issues
薪资范围
48个数据点
Mid/L4
Mid/L4 · Network Security Engineer
1份报告
$164,136
年薪总额
基本工资
$143,182
股票
-
奖金
-
$164,136
$164,136
面试经验
1次面试
难度
3.0
/ 5
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Challenge
5
Hiring Manager Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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