招聘
The DSP tech team in Hyderabad is looking for a System Dev Engineer who will work alongside Last mile Fleet management tech (LMFT) tech and product team in amazon transportation organization. Sys Dev Engineer will be specializing in Tech and OE frameworks used within last-mile and DSP tech teams.
Primary responsibilities include troubleshooting, diagnosing and fixing production software issues, developing monitoring solutions, performing software maintenance and scaling, implementing the fix for internally developed code, performing SQL queries, updating, tracking and resolving technical challenges. Responsibilities also include working alongside development on LMFT team software projects, updating/enhancing our current software, automation of support processes and documentation of our systems.
The ideal candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, able to juggle multiple tasks at once, able to work independently and can maintain professionalism under pressure. You must be able to identify problems before they happen and implement solutions that detect and prevent outages. You must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done.
Key job responsibilities
As a System Development Engineer you will:
- Play vital role in helping us leverage supporting and developing technologies on any platform to increase global collaboration, increase efficiency, and meet our controller ship requirements
- Directly work with development team to improve the applications built by conducting technical mitigations and deep dives on reported issues to find the cause and corrective actions
- Work on proactive detection mechanism to report dip in software performance by building efficient metrics/monitors/alarms using our in house tools
- Build tools and automation to optimize the system, simplify processes, etc.
About the team
DSP (Delivery Service Partner) tech's vision is to be the tech that powers world’s best owner-operated business opportunity, empowering small business owners to build high quality and sustainable logistics companies. DSP Tech powers the tech that supports annually ~10 billion packages through last mile operations and support 90+% of AMZL package volume.
Our foundational tenets of building from global from day 1 and being multi-program aware & multi-tenant tech brings multiple tech opportunities at scale. We are continuously working on exceeding customer experience expectations, building on our mobile first strategy and building highly evolvable tech systems.
Basic Qualifications
- Experience in automating, deploying, and supporting infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
Preferred Qualifications
- Experience with CI/CD pipelines build processes
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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