AWS Senior Lead Software Engineer- Java/Python

About

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top‑notch technology products. As an AWS Senior Lead Software Engineer – Java/Python at JPMorgan Chase within the Consumer and Community Bank – Connected Commerce Technology, you will work to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem‑solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Responsibilities

• Execute end‑to‑end software solutions — including design, development, and technical troubleshooting — with the ability to think beyond routine or conventional approaches to solve complex technical problems
• Develop secure, high‑quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout the software development process
• Gather, analyze, synthesize, and visualize data from large, diverse data sets to drive continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data, leveraging these insights to drive improvements in coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Drive decisions that influence product design, application functionality, and technical operations and processes
• Serve as a function‑wide subject matter expert in one or more areas of focus
• Actively contribute to the engineering community as an advocate of firm‑wide frameworks, tools, and practices of the Software Development Life Cycle
• Influence peers and project decision‑makers to consider the use and application of leading‑edge technologies

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts with 5+ years of applied experience
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced proficiency in SQL and one or more programming languages including Java, Spring Boot, microservices, or Python API development
• Strong experience designing and implementing solutions on AWS, including hands‑on experience with AWS infrastructure and services such as Step Functions, S3, SQS, Lambda, and AI/ML services such as SageMaker and Bedrock, and AWS data processing and transformation services such as EMR, Glue, and Spark
• Experience working with data lake architectures and familiarity with large‑scale data platforms such as Snowflake and/or Databricks
• Exposure to AI/ML concepts, including model inference, evaluation, and deployment in production environments
• Proficiency in automation and continuous delivery methods
• Advanced knowledge of software applications and technical processes with considerable in‑depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred Qualifications, Capabilities, and Skills

• Experience building or integrating applications powered by large language models (LLMs), retrieval‑augmented generation (RAG), or other generative AI techniques
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit‑learn
• Experience with MLOps practices, including model versioning, monitoring, and automated