Software Development Engineer, FinTech

Amazon; Seattle (WA); On-site; USD 129,000 - 224,000; Full time

Job summary

Join a forward-thinking company that is revolutionizing the financial review process with cutting-edge technology. In this hands-on role, you will design and develop scalable software solutions that leverage machine learning to enhance the efficiency of financial evaluations. Collaborate with talented engineers and contribute to a platform that integrates complex datasets for insightful analysis. This position offers a unique opportunity to work in a dynamic environment, where your contributions will directly impact the way financial data is managed and reviewed. If you are passionate about software engineering and eager to tackle challenging problems, this is the perfect opportunity for you.

Benefits

Medical Benefits

401(k) Plan

Equity Options

Flexible Work Hours

Paid Time Off

Qualifications

• 2+ years of software development experience with a focus on design and architecture.
• Experience programming with modern languages like Java, C++, or C#.

Responsibilities

• Design and build scalable components and features for a financial review tool.
• Mentor junior engineers and collaborate with global teams on software development.

Skills

Software Development

Problem-solving

Analytical Skills

Object-oriented Design

Communication Skills

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

AWS

Machine Learning

Data Analytics

C++

Java

C#

Job description

Job ID: 2956114 | Amazon.com Services LLC

Are you looking for an opportunity that will help revolutionize the way big data sets are transformed and consumed inside Amazon? Are you interested in innovating and building platforms that use machine learning to identify anomalies and provide insights across billions of financial transactions? Do you like data and security challenges? FinTech is for you!

Our team manages a financial review tool that offers standardized reporting, anomaly detection, and collaborative capabilities for Finance and Accounting teams to conduct comprehensive evaluations of financial data, transactions, and reports. The tool facilitates critical analysis to ensure accuracy, compliance, and identification of potential issues, while enabling users to verify entries, analyze trends, document findings, and make necessary adjustments throughout the review process.
Over the next three years, Magnify aims to centralize and automate the Month End Close financial review process, enhancing controllership through a unified review experience that integrates relevant datasets for analysis and commentary. The platform will accelerate the month-end close process, reduce whiteboard activities, and leverage AI/ML-driven features to proactively identify anomalies and drivers across domains. Magnify will also improve the annotation review process, utilize organizational hierarchies for comment management, and provide customizable team-specific views to facilitate seamless collaboration between Finance and Tax teams.

Key job responsibilities

This is a hands-on position where you will do everything from designing and building extremely scalable components and cutting-edge features to formulating strategy and driving the roadmap. You will have opportunities to develop software on the latest platforms and build analytical workflows. You will push your design and architecture limits by owning all aspects of solutions end-to-end, through full stack software development. You have strong verbal and written communication skills, are self-driven, and can deliver high quality results in a fast-paced environment. You will work across Amazon engineering teams and business teams across the globe in planning, designing, executing and implementing this new platform across multiple geographies. You will also mentor junior engineers and work with the most sophisticated customers in the business to help them get the best results. You will be surrounded by world-class technical talent, who are incredibly passionate about our product.

As an SDE, you will be involved in all parts of a software developer lifecycle - including software & system designing, coding, troubleshooting, testing, doing code reviews, testing, deployment and service maintenance. You will play an active role in all team meetings & discussion, leading project initiatives, influencing team's long term vision & strategies, partnering up with senior engineers and peer colleagues. You have strong verbal and written communication skills, are self-driven, and can deliver high quality results in a fast-paced environment.

About the team

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

BASIC QUALIFICATIONS

- 2+ years of non-internship professional software development experience
- 1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree in computer science or equivalent
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Excellent problem-solving and analytical skills

PREFERRED QUALIFICATIONS

- 3+ 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
- 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
- Experience with AWS, data analytics, machine learning, and AI technologies

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 this link 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 this link. This position will remain posted until filled. Applicants should apply via our internal or external career site.