JobID: 210623222 Category: Software Engineering JobSchedule: Full time Posted Date: 2025-05-09T01:35:34+00:00 JobShift: Day Base Pay/Salary: Jersey City,NJ $204,250.00-$285,000.00 If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you. As a Director of Software Engineering at JPMorgan Chase within the Corporate Sector's Corporate Data and Analytics Services team , you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery. Job responsibilities * Leads technology and process implementations to achieve functional technology objectives * Makes decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures * Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations * Delivers technical solutions that can be leveraged across multiple businesses and domains * Influences peer leaders and senior stakeholders across the business, product, and technology teams * Champions the firm's culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills * Formal training or certification on team leadership concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise * Experience leading large feature teams of software engineers to deliver intensive data driven applications * Ability to guide and coach teams on approaches to achieve goals aligned with strategic initiatives * Knowledge and experience in Java and/or Python, with a strong understanding of scripting, automation, and data analysis * Experience with cloud platforms such as AWS, Azure, or Google Cloud, including deployment and management of cloud-based applications * Expertise in data platform technologies, particularly with tools like Databricks, for data processing and analytics * Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security * Experience in Data streaming and messaging frameworks (e.g. Kafka, Spark Structured Streaming) * Experience in Data technologies handling complex data processing requirements * Experience building data pipelines and platforms on AWS * Development experience on private cloud, public cloud (using EC2, S3, RDS, Lambda, EMR, Step functions, Glue), ETLs and Data Pipeline Preferred qualifications, capabilities, and skills * Experience working at code level * Experience working with large datasets, data warehouses and data modelling * Experience in building RESTful micro-services using Spring Boot applications