채용

Software Development Engineer III, AWS Sagemaker Lakehouse Catalog
East Palo Alto, CA, USA
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On-site
·
Full-time
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1mo ago
필수 스킬
AWS
Be part of a team which is passionate about solving real world data management and governance challenges. Come build large scale distributed systems that are central to the next generation of analytics in the cloud.
AWS Lake Formation is a service that helps build and secure data lakes in a simple, scalable, server-less architecture. We are looking for software engineers to join our growing team!
As a Software Engineer in Lake formation you will:
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Solve unique and first-order problems in areas of Big Data, Distributed Systems, and Server-less data processing
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Influence and build products that will leverage scale of resources to orchestrate data management and governance
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Be catalyst to deliver a truly disruptive product while still early enough to have impact and influence
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Key job responsibilities
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Translate functional and technical requirements into detailed architecture, design and extensible code
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Be an advocate of industry best-practices to produce reliable, fault-torrent and dependable code
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Code and test complex system modules; develop and leverage frameworks to be effective and efficient
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Participate in architecture, design and code reviews to maintain our high development standards
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Mentor other engineers, defining our challenging technical culture, and helping to build a fast-growing team
A day in the life
Morning coffee in hand, you dive into Slack to catch up on overnight discussions
By mid-morning, you're deep in code, building features that help customers wrangle petabytes of data without breaking a sweat. You might be designing a new orchestration framework, squashing a gnarly concurrency bug, or whiteboarding with teammates to architect a solution that scales elegantly from startup to enterprise.
After lunch, you join a design review where ideas fly freely You collaborate with partner teams across AWS (think Glue, S3, Athena) to ensure Lake Formation plays nicely in the broader analytics ecosystem.
During oncall, you hop on a call with a customer or solutions architect to understand a real-world data governance challenge. These conversations fuel your work, you're not just writing code; you're solving problems that help organizations unlock the value of their data securely and at scale.
Before wrapping up, you spend time mentoring a newer engineer, reviewing code, or spiking on a crazy idea that might just work.
You close your laptop knowing you've built something meaningful !
About the team
We are builders and data people that are obsessed with our customers and take-on big challenges. We support each other and encourage different views. We also like to have a bit of fun along the way.
AWS 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 AWS? Amazon Web Services (AWS) 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.
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 conferences, inspire us to never stop embracing our uniqueness.
Mentorship & 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.
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.
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Knowledge of system performance, memory management, and parallel computing principles
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Preferred Qualifications
- Master's degree
- 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, East Palo Alto - 193,300.00 - 261,500.00 USD annually
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총 지원 클릭 수
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모의 지원자 수
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스크랩
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비슷한 채용공고
Amazon 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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