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 JPMorganChase 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.
Job 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 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
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, springboot, 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 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
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 retraining pipelines
