Sr. Software Dev Engineer, SMGS Ops - DP&I - Data Platform
DESCRIPTION
Are you passionate about helping customers quickly make sense of massive amounts of data? Are you interested in building and operating a highly scalable data platform that is extremely simple to use? Do real-time streaming, data discoverability, data quality, data security, data governance, data profiling excite you?
We, the AWS Sales, Marketing, & Global Services (SMGS) Data Platform Team, are in the business of helping our customers securely, conveniently, and quickly manage and gain insights into the organization’s Sales and Marketing data at scale. We are looking for a Senior Software Development Engineer to join us in our exciting data journey.
You will work closely with partner, product, and security teams to understand requirements and business cases, and distill them into an engineering vision that will be a foundational capability of the platform. You will use this understanding and knowledge to guide and influence multiple teams of software and data engineers to build scalable mechanisms, tools, and products that empower our customers to manage and gain insights into their data. You will help establish technical standards and drive the overall technical architecture and engineering practices. You will think globally when designing and building the software, ensuring the software is evolving in the right long term direction while bringing value to customers iteratively.
The ideal candidate will be motivated, have strong attention to detail, and will model Amazon Leadership Principles. A familiarity with Amazon Web Service technologies including EC2, S3, SQS, Elastic Map Reduce, Hadoop, RDS as well as no-SQL solutions which form the foundation of these systems is an asset.
Key job responsibilities
High level responsibilities for this position include but are not limited to:
- Own the overall platform architecture.
- Work closely with the engineers to architect and develop the best technical design and approach.
- Ensure that technical decisions are made with a balance between strategic and tactical perspectives.
- Mentor engineering team members.
A day in the life
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 we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
About the team
We, the AWS SMGS Data Platform Team, are in the business of helping our customers securely, conveniently, and quickly manage and gain insights into the organization’s Sales and Marketing data at scale. We place a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life, both in and outside of work.
We are open to hiring candidates to work out of one of the following locations:
Dallas, TX, USA | Seattle, WA, USA
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
PREFERRED QUALIFICATIONS
- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- Experience building complex software systems that have been successfully delivered to customers
- Strong practical understanding of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/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. Applicants should apply via our internal or external career site.