Lead Software Engineer - AWS / Azure

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 - AWS/ Azure at JPMorgan Chase within the Corporate Technology - CTIM Org Management / Cloud Platform 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


• 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 applied experience


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


• Advanced in one or more programming language(s) (e.g., Python, and Java, with UI - React framework, functional programming, micro services, RESTful web service development, JMS, Kafka, GraphQL, and Containerization - Kubernetes)


• 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


• Advanced practical cloud native experience (e.g., AWS, Azure, and Terraform)

• AWS certification


• Azure certification


• Hands-on experience with Language Models (LLM)


• Experience with Machine Learning or AI Technologies