Job description
- 3 - 15 years experience writing large scale systems in C/C++
- Strong knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving and complexity analysis
- Bachelor’s Degree in Computer Science or related field or equivalent work experience
- 7+ years professional experience in software development
Job summary
Are you eager to help customers crunch through exabytes of data in the cloud to make business critical decisions? Amazon Redshift is the world’s most popular fully managed cloud data warehouse service that 10’s of thousands of customers use every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the best engineers to help shape the future of Redshift.
We are looking for Performance Engineers who are passionate about data warehousing, love to analyze data management systems and workloads to make them faster and easier to use. You will work with other performance engineers, software engineers, as well as customers on new and existing features to identify bottlenecks and performance opportunities, build and use tools to facilitate performance analysis, and drive performance improvements to deliver industry leading price-performance for our customers.
This is a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product and the business. You will bring deep technical, systems and analytics expertise with the ability to work within a fast moving, startup environment in the industry leading cloud company to deliver a broad business impact.
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.
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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
- Knowledge of database internals as it relates to query and system performance and tuning
- Understanding of overall system architecture, scalability, reliability, and performance in a database environment
- Development skills are highly desirable
- Experience designing and leading database performance benchmarks.
- Experience with large-scale data analytics and data warehousing
- Masters or PhD in Computer Science
- The base pay range for this position is $124K - 185K/yr. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.
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.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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