AWS Senior Lead Software Engineer- Java​/Python

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 are an integral part of an agile team that works 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.

• 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 the 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 contributes to the engineering community as an advocate of firmwide 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

• 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 Sage Maker and Bedrock and AWS data processing and transformation services such as EMR, Glue, and Spark
• Experience working with data lake architectures and f
• amiliarity 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

• 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 Tensor Flow, PyTorch, or scikit-learn
• Experience with MLOps practices, including model versioning, monitoring, and automated retraining pipelines