Job Description

JOB DESCRIPTION

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 JPMorganChase within the [insert LOB or sub LOB], 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 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, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) 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.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience

Preferred qualifications, capabilities, and skills

Bachelor's or Master's degree in Computer Science, Engineering, or related field. 10+ years of experience in software/data engineering, with at least 2 years in a lead or senior role. Strong hands-on experience with AWS Data Cloud services (S3, Glue, Redshift, EMR, Lambda, Kinesis, Athena, etc.). Proven experience in building and managing ML Ops pipelines (CI/CD for ML, model versioning, monitoring, etc.). Experience with GenAI frameworks and tools (e.g., OpenAI, Hugging Face, AWS Bedrock, etc.). Proficiency in programming languages such as Python, Java, or Scala. Solid understanding of data lake, data modeling, ETL/ELT processes, and data warehousing concepts. Familiarity with containerization and orchestration tools (Docker,

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