Job Description
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 Java BigData Cloud Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management, 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
- Lead the design and development of big data solutions using Java and cloud technologies.
- Provide technical leadership and guidance to a team of engineers, ensuring best practices in software development and data engineering.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Architect and implement scalable, reliable, and secure big data pipelines and workflows.
- Optimize existing systems for performance, scalability, and cost-effectiveness.
- Ensure data security, privacy, and compliance with industry standards and regulations.
- Troubleshoot and resolve complex technical issues related to big data processing and cloud infrastructure.
- Stay current with emerging technologies and industry trends, and evaluate their potential impact on the organization.
- Foster a culture of continuous improvement, innovation, and collaboration within the team.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience in Java , Big Data, Cloud (AWS, Azure, or Google Cloud) development.
- Experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
- Experience in Agile/Scrum development methodologies.
- Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer).
Top Skills
What the Team is Saying
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
