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Sr. Machine Learning Engineer, Amazon QuickSight (Basé à London)

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London
4 months ago
Applications closed

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Sr. Software Engineer, Amazon QuickSight

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Do you like building software from the ground up? Do you want to revolutionize the way businesses develop, deploy and scale their business intelligence solutions on a large dataset using AWS cloud prowess?

Come and join the Amazon QuickSight in AWS – we are always working on the next wave of innovations which we strongly view as changing the BI landscape. Amazon QuickSight is a fast, cloud-powered BI service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. Using QuickSight, customers can easily connect to their data, perform advanced analysis, share and collaborate via dashboards and email reports. Amazon QuickSight also offers Super-fast, Parallel, In-memory Calculation Engine ("SPICE") and it is engineered to rapidly perform advanced calculations and serve data.

As more data is generated in the cloud and tens of thousands of customers migrate their on-premises data into the AWS cloud, Amazon QuickSight is positioned to change business analytics. Regardless of whether the data is in Files (desktop or S3), SQL (MySQL, PostgreSQL, SQL Server, MariaDB), AWS data stores (Athena, RDS, RedShift, Aurora), or SaaS business applications (Salesforce, Twitter, etc.), Amazon QuickSight makes it easy for our customers to analyze and get insights instantly. Our mission is to devise new, innovative ways to simplify data management and analysis and get insights fast, allowing our customers to focus more on running their business using those insights, and not worry about infrastructure management.

As a Sr Software Dev Engineer in Amazon QuickSight, you will have opportunities to work on ambiguous and complex problems, which have product-wide impact. You will have opportunities to influence both the team’s technical and the product's business strategies.

Key job responsibilities

  1. Influence both technical and product direction. Partner with stakeholders to drive large and complex initiatives.
  2. Improve the quality of the whole SDLC such as design, implementation, testing, and operation.
  3. Design, implement, deliver solutions that are secure, reliable, and scalable.
  4. Contribute to the engineering community by mentoring other engineers.

About the team

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 empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) 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

  1. 5+ years of non-internship professional software development experience
  2. 5+ years of programming with at least one software programming language experience
  3. 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  4. Experience as a mentor, tech lead, or leading an engineering team

PREFERRED QUALIFICATIONS

  1. 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  2. Bachelor's degree in computer science or equivalent
  3. 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

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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.

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