Lead Software Engineer - Big Data JavaPython

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

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Banks Technology Team youare an integral part of an agile team that works to enhance build and deliver trusted marketleading 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 firms business objectives. Youll be tasked with keeping the team and other key stakeholders up to speed on the progress of whats being developed. Coming in with an understanding of the importance of endtoend software developmentsuch as Agile frameworksis key. And best of all youll be working with and sharing ideas information and innovation with our global team of technologists from all over the world.

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 highquality production code and reviews and debugs code written by others and enhance modern infrastructure operations and advancement instable and matured technology platforms
• Enhance modern infrastructure operations and advancement instable and matured technology platforms. 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 outcomesoriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
• Govern Architecture and Design Quality of Service in production environments
• Perform cross impact analysis with systems products third party technology & business stakeholders to ensure systemic changes are handled seamlessly
• Partner with firm wide technology architecture councils working groups with the intent of defining driving apt software development practices in product operating model. Document and deliver crisp communication in various artifacts as needed in product roadmap and to technology product and business stakeholders.
• Work with requirements which may not be available to the last level of detail
• Work independently with very little supervision

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience in software development and architecture
• Experience in a Big Data technology (Hadoop and Spark Architecture Performance tuning Spark SQL HIVE SQOOP KAFKA Impala HBASE Entitlements etc. and in data analysis
• Handson practical experience delivering system design application development testing and operational stability of application data and infrastructure architecture disciplines
• Advanced in languages such as Java/Python in a large enterprise
• Extensive AWS & Cloud Foundry experience transactional and analytical workloads
• Advanced understanding of agile methodologies such as CI/CD developer tool chain application resiliency and security and operational experience with multiple applications running in Kubernetes clusters
• Expertise in modernization using microfront end patterns microservices & APIs Event Driven Architecture Containerization/Kubernetes and cloud databases
• Familiarity with multiple enterprise integration patterns & techniques and heavy Production Systems experience
• Familiar with security & business risks troubleshooting and root cause analysis
• Experience in domain driven design lean architecture and agile delivery proven design patterns on frameworks integration resiliency security cost high availability and scalability
• Hands on experience in building enterprise wide platforms or cloud PaaS/SaaS services is an advantage

• 3 years of experience in big data technology