At a Glance
- Tasks: Join us to enhance and build user experiences with generative AI in Amazon QuickSight.
- Company: Amazon Web Services (AWS) is a leading cloud platform, innovating continuously for diverse customers.
- Benefits: Enjoy flexible work-life balance, mentorship opportunities, and a culture of inclusion.
- Why this job: Be part of a revolutionary team driving business intelligence and making impactful decisions.
- Qualifications: 3+ years of software development experience and proficiency in at least one programming language required.
- Other info: Diverse backgrounds are encouraged; apply even if you don't meet all qualifications.
The predicted salary is between 48000 - 72000 £ per year.
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.
The Q for Business within AWS is an innovative organization within Amazon dedicated to leveraging state-of-the-art technology to drive business intelligence and data-driven decision making across the company. We are focused on revolutionizing workplace productivity through innovative generative AI technology. Generative AI is playing an important role in improving customer experience in several domains such as contact centers, media and entertainment, and healthcare.
Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, pixel-perfect reports, embedded analytics, and natural language queries. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Next, we are bringing together new Q Business Generative AI capabilities inside of QuickSight to make it the most compelling experience for business users.
In this role with Amazon Q in QuickSight, you will enhance and build new foundational components and user experiences to enable integrating generative AI capabilities with existing features for business users. This role offers wide scope, autonomy, and ownership. The ideal candidate will bring deep technical and leadership experience to work with team of stellar engineers to drive multi-year design and architecture decisions. If this sounds like a product you’ve been working towards and would like to deliver, please contact us today, and let’s talk about how you can be a part of it.
We are looking for an SDE with a strong sense of ownership and a passion for delivering creative solutions for complex problems on an unprecedented scale.
Software Engineers at Amazon partner with the customers, stakeholders, product managers and UX designers to define and execute the product goals. You challenge yourself and others to constantly come up with better solutions. You\’re a thought leader, but you don\’t just know how to solve the problem, you prove it by building the solution. Last but not the least; you have a high bar for code quality and passion for design and architecture.
Key job responsibilities
In this role, you will
– Help define architecture, own and implement specific components, and help shape the connectivity roadmap.
– Contribute to defining best practices
– Contribute to planning, design, implementation, testing, operations, and process improvement as a member of an autonomous team
– Take responsibility for technical problem-solving, creatively meeting product goals, and developing best practices
– Mentor and support the growth of other developers
About the team
Diverse Experiences
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 AmazeCon 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
– 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
PREFERRED QUALIFICATIONS
– 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
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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Software Dev Engineer II, AWS Quicksight employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Dev Engineer II, AWS Quicksight
✨Tip Number 1
Familiarise yourself with AWS services, especially those related to data analytics and generative AI. Understanding how Amazon QuickSight integrates with other AWS products will give you an edge in discussions during interviews.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of complex challenges you've tackled in previous roles. Be ready to discuss how you approached these problems and the innovative solutions you implemented.
✨Tip Number 3
Engage with the AWS community through forums or local meetups. Networking with current employees or other professionals can provide insights into the company culture and expectations, which can be beneficial during your application process.
✨Tip Number 4
Prepare to demonstrate your coding skills in interviews. Brush up on coding standards, design patterns, and best practices, as these are crucial for the role and will likely be assessed during technical interviews.
We think you need these skills to ace Software Dev Engineer II, AWS Quicksight
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software development, particularly focusing on your work with design patterns, reliability, and scaling. Use keywords from the job description to align your skills with what AWS is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovative technology and how your background aligns with the role. Mention specific projects where you've demonstrated ownership and problem-solving skills, especially in relation to generative AI or cloud services.
Showcase Your Technical Skills: Include a section in your application that details your programming languages and any relevant technologies you’ve worked with. Highlight your experience in the full software development life cycle and any best practices you’ve contributed to in previous roles.
Prepare for Technical Questions: While this tip is more about preparation than writing, it’s essential to anticipate technical questions related to architecture and design. Be ready to discuss your thought process and past experiences in detail, as this will likely come up during interviews.
How to prepare for a job interview at Amazon
✨Understand the Role and Responsibilities
Make sure you thoroughly understand the job description and the specific responsibilities of a Software Dev Engineer II at AWS QuickSight. Familiarise yourself with the technologies mentioned, such as generative AI and business intelligence tools, to demonstrate your knowledge during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past experiences where you've tackled complex problems. Be ready to explain your thought process and the solutions you implemented, especially in relation to software design and architecture. This will highlight your technical expertise and ownership mentality.
✨Emphasise Team Collaboration
AWS values collaboration, so be prepared to talk about how you've worked with cross-functional teams in the past. Share examples of how you've partnered with product managers, UX designers, and other stakeholders to achieve project goals, showcasing your ability to communicate effectively.
✨Demonstrate a Passion for Quality
Express your commitment to high code quality and best practices. Discuss any experience you have with code reviews, testing, and continuous improvement processes. This will show that you not only care about delivering solutions but also about maintaining standards in your work.