DescriptionIf 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