This is 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 Infrastructure Platforms, you will be 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. You will be part of digital workflows team, focusing on our Telemetry Data Lake platform. You will play a key role in developing new features, supporting and enhancing our platform for clients, and ensuring best practices across the full software development lifecycle—including production deployments both on-premises and in AWS cloud environments. 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
- Execute 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.
- Contribute to the adoption of agile methodologies and participate in sprint planning, reviews, and retrospectives.
- Own and execute end-to-end SDLC best practices, including production deployments on-premises and in AWS.
- Provide platform support and implement enhancements to improve client experience.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Collaborate with cross-functional teams to deliver robust, scalable solutions.
- Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Ability to collaborate effectively with diverse roles and teams.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on experience with one or more general-purpose programming languages which mandatorily includes Java, Python and strong SQL skills.
Demonstrates strong experience with Big data technologies like Kafka, spark and enterprise scale storage/database systems.
- Advanced experience in at least two of the following:
- Web application development
- Databases, Big Data platforms, ETL processes
- Unix/Linux environments
- Distributed and parallel systems
- Large-scale software development
- Strong critical thinking, problem-solving, and communication skills.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security and all aspects of the Software Development Life Cycle
- Proficiency with development tools such as Jira, Jenkins, Git, and testing frameworks (Junit, Cucumber etc.).
- Practical cloud native experience with AWS.
Preferred qualifications, capabilities, and skills
