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Systems Development Engineer, Corporate Network Automation Engineering

Amazon

Systems Development Engineer, Corporate Network Automation Engineering

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

2d ago

Amazon Corporate Network Automation Engineering Team owns automation for the deployment of every product and service that Network Engineering teams design and produce.In other words, we’re the people who keep all the Amazon offices connected. We work on the most challenging problems, with thousands of variables impacting the Amazonian productivity — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers and security experts. You’ll collaborate with people across Amazon to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Amazon Corporate Network Automation Engineering team's mission is to maximize network availability and eliminate work required by humans. We build and own: systems that can monitor, alert and remediate networking events; foundational services that support network devices (think ingestion and enrichment of millions of logs per minute) at scale; and systems that allow us to rapidly configure, deploy and scale our network. We are looking for an exceptional Sys Dev Engineer who is passionate about building config generation, OS upgrade and config deployment automation.

You will have deep knowledge of python, software architecture and good knowledge of AWS Products, DevOps patterns, and mature CICD processes that will help build the next generation of services that enable self-healing for our systems and minimize the work required of humans. Our ideal candidate will lead and mentor other Engineers, be exceptionally customer-centric and enjoy working in a fast-paced environment that requires excellent technical and communication skills.

You will join a team of tenured Software, Systems and Network development Engineers who are instrumental in driving the stability and sustainability of our network and to discover innovative ways to automate and scale our network as Amazon expands to hundreds of corporate offices, data centers and other locations worldwide.

  • Key job responsibilities
  • You will work on complex challenges in existing and new development initiatives. Your goal is to design and develop software systems that are secure, maintainable, scalable, and extendable.
  • You will work with internal customers and stakeholders to understand their pain points and requirements.
  • Work closely with our Network/Systems/Software Engineering teams to ensure fast, smooth roll-out of new designs and products, as well as, assist with designing and automating config generation and OS upgrade for thousands of networking devices.
  • You will share your knowledge with others and also learn from others. Our team is one where you own everything end to end: design, development, testing, deploying through rapid iteration.
  • Must have experience hands on development of automation software in at least one modern language, such as Python, Java, AWS CDK and Cloud formation or others.
  • Automating the deployment of network devices gateways using infrastructure as a code across all of our network fabrics using automation such as CDK, Python.
  • Desirable to have an understanding of AWS services mainly networking products such as AWS VPC, Transit Gateways, ANF, NAT-Gateways, Cloudwatch, AWS Lambda.

A day in the life
Today, software, tooling and integration in the corporate office network is an afterthought when compared to DCNE/Border fabrics. We want to ensure parity for tools like PCN, TShift, NHS, PIMMS which will enable cycle time improvements, raising the bar for security and increase operational efficiency in the network. To realize this mission, we will work closely with our partner teams in building the support, or will self-service that support where necessary. As the Corporate Network expands, it requires higher velocity of changes, predictability and visibility into deployments thus we strive for 100% PCN adoption for all compatible layers in the Enterprise Network, ensuring AutoPCN can update devices within 21 days.

As a part of Amazon Corporate Network Automation, we are responsible for Edge Network which connects 500+ remote offices to the Core network as well as into AWS cloud. We own the network standards, deployment mechanisms, automation and delivery of large programs, including AWS VPC transit gateway based networks that connect our traditional networks to Native AWS.

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon
Amazon is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture:

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth:

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

  • Experience in automating, deploying, and supporting large-scale infrastructure
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
  • Experience with Linux/Unix
  • Experience with CI/CD pipelines build processes
  • Bachelor's degree

Preferred Qualifications

  • Experience with distributed systems at scale

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

Amazon

Public

Amazon.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

3.4

10条评价

工作生活平衡

2.3

薪酬

4.2

企业文化

3.1

职业发展

3.8

管理层

2.7

65%

推荐给朋友

优点

Great benefits and competitive compensation

Learning opportunities and career advancement

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and high turnover

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

6次面试

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge