Lead Software Engineer - AWS/Machine Learning

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Legal Technology Team, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


• Develops secure high-quality production code, and reviews and debugs code written by others


• Develops cutting edge Artificial Intelligence (AI) and Machine Learning (ML) Platform solutions using Large Language Models (LLMs), public cloud, and modern standards and patterns


• Implements and develops  generative AI services leveraging Azure Open AI models and AWS Bedrock service


• Builds solutions using AWS Cloud Services for compute, storage, databases, and security


• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems


• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture


• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies


• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience


• Hands-on practical experience delivering system design, application development, testing, and operational stability


• Advanced experience in Python and distributed computing frameworks such as PySpark 


• Expertise working on AWS Cloud Based applications development using EC2, EKS, RDS Aurora MySQL & Postgres, DynamoDB, and Kinesis


• Hands-on experience building AWS data pipelines using Lambda, SQS, SNS, Athena, Glue, EMR


• Hands-on experience deploying and scaling ML and AI Models on Public cloud services


• Proficiency with ETL tools (Abinitio, Informatica, SSIS) and data analytics tools (Splunk, Cloudwatch, Datadog metrics)


• Proficiency in automation and continuous delivery methods


• Proficient in all aspects of the Software Development Life Cycle


• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Experience programming in Java 


• IDAnywhere knowledge will be a plus