Description
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
Our team is looking for a software development engineer to join our Data Insights team. This individual will play a key role in designing, building, and maintaining the infrastructure required to support robust analytics, reporting and data-driven decision-making, potentially using basic to intermediate ML models. The ideal candidate is passionate about transforming raw data into actionable insights and thrives in a collaborative, fast-paced environment.
Are you inspired to work with a team than launches products with direct and massive impact on Amazon's customers? Are you excited to join one of the newest and most exciting AWS services?
Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them.
See our section in Andy Jassy 2020 re:Invent keynote
We have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex engineering and algorithmic problems. We are looking for passionate and talented Software Development Engineers to join us to innovate on this new service that addresses customer needs to build modern contact centers in the cloud. The position represents a rare opportunity to be a part of a fast-growing business soon after launch, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation contact center, and get the opportunity to design and deliver scalable, resilient systems while maintaining a constant customer focus.
As a developer on our team, you'll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You'll have a sound understanding of computer science fundamentals and practical industry experience, working across the stack with technology involving modern web, SOA, NoSQL databases, AI, ML, Big Data and more.
This team is a great fit for you if
You enjoy working with a fun team that prides itself on a great work environment with an inclusive group of people that are working together towards a common goal.
You are sensitive to customer needs and interested in working on a service that will be used, directly and indirectly, by millions of customers and has a meaningful impact to their functions and interactions.
You'd like to be directly responsible for solving real customer problems.
You are a passionate learner and are motivated to take on new challenges.
You want to have fun; surround yourself with a highly talented pool of engineers that like to solve complex problems, but also enjoy work life balance.
Key job responsibilities
Data Infrastructure Development
Design, develop, and maintain highly scalable data pipelines and workflows on AWS services (e.g. AWS Glue, Lambda, Step functions, Firehose).
Build and manage data stores using a broad range of technologies including but not limited to Amazon S3, DynamoDB, OpenSearch and related AWS storage services.
Setup and maintain real-time and batch data processing pipelines with Kinesis, Firehose and related analytics services.
Data Modeling and Architecture
Develop optimized, scalable data models tailored for analytics and reporting use cases.
Architect and implement best practices for a robust data infrastructure.
Ensure data integrity, governance, and security compliance across systems.
Collaboration and Stakeholder Engagement
Partner with data scientists, product managers, partner teams' engineers to understand requirements and deliver data solutions that drive actionable insights.
Integrate with Connect and AWS-based analytics solutions (e.g. Connect Analytics, Connect Data Lake, Quicksight)
Advocate for self-service data platforms and democratize data access across teams.
Leadership and Mentorship
Provide technical mentorship to junior engineers and team members
Drive code reviews, establish best practices, coding and design standards and foster a culture of continuous improvement
Emerging Technologies and AWS expertise
Stay informed about the latest AWS services and evaluate their relevance to enhance the data ecosystem
Lead the adoption of new AWS analytics and machine learning tools
About the team
ABOUT AWS:
Diverse Experiences
Amazon 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.
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and 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.
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
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.
