Top Software Engineer Jobs

Lead Software Engineer responsible for executing creative software solutions, developing secure high-quality code, leading evaluation sessions, and driving awareness of new technologies within Software Engineering. Must have 5+ years of experience in big data environment using AWS, Java, Scala, and Python, with proficiency in cloud-native architecture, Apache Spark, and real-time streaming applications.

As a Software Engineer III, you will design and deliver technology products, develop high-quality production code, gather and analyze data for improvements, and contribute to team culture while ensuring adherence to agile methodologies and software development life cycles.

As a Software Engineer II at JPMorgan Chase, you will configure, maintain, monitor, and optimize applications and infrastructure using Python, Kubernetes, Terraform, and AWS Cloud Services. You will collaborate with teams to design and implement deployment approaches, resolve complex problems, and adopt site reliability engineering best practices.

Join as Vice President of Quantitative Strategic Assessment for the Home Lending Optimization Group, collaborating with Decision Science, Marketing, and Technology to enhance the performance of the Home Lending division through data analysis, tools development, and strategic initiatives.

As a Sr. Associate in HR Data & Analytics, you will analyze workforce data to derive insights and analytical solutions. Responsibilities include translating business questions into analytical tasks, collaborating with teams, building analytic solutions, and communicating results through dashboards and reports.

As a Full Stack Software Engineer at JPMorgan Chase, you will enhance and deliver technology products, collaborating with various stakeholders to develop secure, high-quality code. You will influence product design and contribute to the engineering community, employing agile practices and ensuring security best practices in your work.

Seeking a Vice President in Applied AI/ML to lead the development and implementation of AI/ML solutions for forecasting and analytical capabilities within the FP&A organization. Responsibilities include designing and implementing AI/ML solutions, collaborating with stakeholders, staying updated with data science advancements, and mentoring junior data scientists.