Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Corporate 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:
- 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
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- 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 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
- Leading and managing a high performing team of software engineers
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- 10+ years of hands-on experience in the software industry, specializing in Java, Python, AWS (including EKS, S3, Lambda, EMR), and Terraform.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Strong exposure to security and infrastructure within cloud environments.
- Practical cloud-native development experience specifically in AWS, with a focus on designing and delivering robust solutions.
- Demonstrated expertise in software design principles and complete end-to-end, hands-on delivery.
- Experience in streaming systems such as Kafka.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Proficiency in automation and continuous delivery methods.
- Advanced understanding of agile methodologies, including 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.).
- Proficient in all aspects of the Software Development Life Cycle.
- Advanced proficiency in one or more programming languages.
- In-depth knowledge of the financial services industry and their IT systems.
- Proficiency in Data Engineering concepts and related technologies such as AWS EMR and Databricks. Certifications is a plus