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Amazon's Accounts Receivable Technology team, part of FinAuto (Finance Automation), is transforming financial operations through next-generation automation. We process trillions in annual transactions across every Amazon business worldwide, including AWS, Stores, and Digital. Our team is building intelligent systems that optimize the entire order-to-cash lifecycle, from sales through billing and collections.
As Amazon's financial operations grow exponentially with business expansion, traditional approaches to scaling through human operations are no longer sufficient. Our team is at the forefront of solving this challenge through innovative automation solutions that combine artificial intelligence, machine learning, and enterprise-grade workflows to transform how financial operations work.
The Finance Automation Receivable Tech team is looking for a smart, motivated, and results-oriented Senior Software Development Engineer (SDE 3) to architect, build, and operate software systems. We're looking for engineers who want to build GenAI/LLM-powered solutions that solve real customer problems at Amazon scale. Think AI-driven financial workflows, intelligent reconciliation, and automation that replaces manual operations with machine intelligence.
The problems you'll solve don't come with a predefined technology strategy. You'll design and deliver solutions using AWS-native services and AI/agentic patterns, that solve real customer problems at Amazon scale. You'll iterate fast, ship incrementally, and raise the engineering bar for your team through exemplary code, pragmatic design, and mentorship. You own the architecture and the code.
Key job responsibilities
- Lead projects requiring work from multiple engineers - owning end-to-end design, integration of parallel work, and delivery across the full software lifecycle (design, implementation, testing, deployment, operations)
- Own team-level architecture for enterprise systems, providing system-wide design guidance and ensuring solutions are cohesive, extensible, and secure
- Build and operate production applications on AWS-native services (Lambda, Step Functions, DynamoDB, Bedrock, S3, CDK, API Gateway, etc.)
- Design and deliver AI-powered and agentic workflows that ship to production - automating business processes, reducing toil, and accelerating delivery
- Define agentic architecture patterns and establish best practices for building, testing, and operating AI systems in production - setting the engineering standard for how the team builds with AI
- Drive adoption of engineering best practices on your team set a culture of robust software development through exemplary code, design reviews, and operational rigor
- Actively mentor and coach other engineers, helping them grow their technical skills and independence
- Communicate technical designs and decisions effectively in writing
- 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
- Bachelor's degree in computer science or equivalent
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
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Job ID: 148784033
Skills:
Database Concepts, Unix, Adf, Agile Scrum, Jboss, Data Modeling, Sql, Data Integration, Data Quality, Data Quality, Informatica Mdm, Linux, shell scripting, Data Governance, Databricks, Azure, Python, Copilot automation tools, AI-driven data profiling, Informatica IDMC, Reference 360, Synapse, ADLS
Skills:
containerization , Golang, Distributed Systems, Orchestration, Tcp, Nosql, Terraform, Docker, Network Protocols, Openshift, AWS, Proxies, Http, Automation, Sql, Gcp, Vault, Azure, Haproxy, Kubernetes, Go, Consul, GRPC, Testing Strategies, GitHub Actions, Cloud-native Services, KV Stores, Ip, Istio, Service Mesh Technologies, Nomad, Linkerd, Envoy
Skills:
Java, Machine Learning, Kafka, Tensorflow, Hive, Pytorch, Spark, Python, Kubernetes, Airflow, Ray, Kubeflow
Skills:
S3, Github, Pyspark, Apache Spark, Kafka, Sql, Nosql, Devops, Rabbitmq, Jenkins, Lambda, Bitbucket, Gitlab, Databricks, Python, AWS, Glue, Athena
Skills:
Java, Docker, Azure, Python, Sql, Google Cloud, AWS, GitHub Copilot, VS Code extensions, AI frameworks
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