Software Development Engineer, Blueshift

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
The AWS Capacity Forecasting team engages with all AWS service teams to build the world's largest Cloud infrastructure. Come make history!

Our larger team forecasts demand and recommends hardware ordering for the largest AWS service teams. As part of EC2 Core Platform, we forecast customer demand, build inventory replenishment systems, and drive utilization improvement for all AWS services.

We use Scala, Java, Python, JavaScript, Lambda, DynamoDB, as well as other public AWS services and Amazon-internal tools. We are looking for someone who is passionate in building automated data solutions. We don’t expect you to be an expert in-- or necessarily familiar with-- all of these technologies, but we expect you to be excited to learn.

This is a full-stack development position, leaning towards back-end work. This position involves on-call responsibilities. We don’t like getting paged at night or on weekends, so we work to ensure that our systems are fault tolerant.

As a member of the team you will help manage

Data Ingestion by building simple solutions from complex upstream systems
Build monitoring systems for enhanced data quality
Serve customers for their data needs
Enable Data Discoverability


What you will learn:

How to incorporate tested research results into modern software systems that improve the way AWS operates.
Inventory management and supply chain management for the Cloud.
The internal workings of AWS services.
The data that supports growth of the world’s largest Cloud, solving challenging problems on a daily basis.
Leveraging AWS technologies in software development.


You will work directly with business owners, research scientists, other software development teams, and owners of major AWS services. This role requires an individual with excellent analytical abilities, deep knowledge of software engineering principles, as well as a passion for problem-solving. Ideally, you are comfortable with ambiguity and accessing and working with data from multiple sources.

This position involves on-call responsibilities.

Key job responsibilities
Some of the key responsibilities for this position include: - Work with managers, data engineers, and scientists to design and enhance our infrastructure to support the growth of AWS.

Work closely with data engineers, scientists, and business owners.
Develop repeatable solutions to minimize ad hoc requests to help improve the customer experience.
Enable effective decision making by retrieving and managing data from multiple sources and compiling it into digestible and actionable forms.
Develop intelligent, insightful self-reporting tools.

Keywords:
Software Engineering, Forecasting, Statistics, Optimization, Inventory Management, Supply Chain Management, AWS, Cloud, Cloud Computing, EC2, S3, EBS, DynamoDB, Redshift, CloudFront, Java, C++, object oriented, Java, distributed systems, high availability, scalability, concurrent

A day in the life
Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.