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 JPMorganChase within the Corporate Data and Analytics Services team, you will lead a technical area and drive impact, working closely with multiple Engineering teams, technologies, and projects across departments. You should be able to utilize in-depth knowledge of software, applications, architecture, technical processes, and product management and banking domain expertise to drive and deliver multiple complex programs and initiatives, while serving as a primary decision maker 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, opportunity, inclusion, and respect
- Establishes architecture, execution strategy and plans
- Sets the overall guidance and expectations for team output, practices, and collaboration
- Provides guidance to immediate team of software engineers on daily tasks and activities
- Anticipates dependencies with other teams to deliver products and applications in line with business requirements
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 15+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization.
- Experience working with feature teams of software engineers, Product owners, Agility leads to deliver intensive data driven applications
- In-depth knowledge and experience in Java and/or Python, with a strong understanding of scripting, automation, and data analysis
- Good understanding of AI tooling
- Extensive 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
- Proficient in all aspects of the Software Development Life Cycle and advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Strong expertise in building RESTful micro-services using Spring Boot applications
- Strong expertise in building big Data applications using PySpak, EKS, Databricks, S3, Iceberg and other allied technologies.
- Strong Communication skills and ability to articulate
- Experience in data technologies handling complex data processing requirements, including data streaming and messaging frameworks (e.g., Kafka, Spark Structured Streaming), as well as development experience on private and public cloud platforms (using EC2, S3, RDS, Lambda, EKS, Step Functions, Glue), ETLs, and data pipelines.