Annotation Finance Jobs in Seattle, WA (NOW HIRING)

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 accelerates the month-end close process, reduce whiteboard activities, and leverage AI/ML-driven features to proactively identify anomalies and generate narratives and identifies drivers across domains. Magnify also improves 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.

This is a hands-on position where you will do everything from designing and building extremely scalable components and 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.

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.

• Bachelor's degree in computer science or equivalent
• 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
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in managing and troublshooting network

• Master's degree in computer science or equivalent
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• 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 working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually