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 the Corporate Data and Analytics Services team, you will 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 objectivesMakes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and proceduresCarries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operationsDelivers technical solutions that can be leveraged across multiple businesses and domainsInfluences peer leaders and senior stakeholders across the business, product, and technology teamsChampions the firm’s culture of diversity, opportunity, inclusion, and respectEstablishes architecture, execution strategy and plansSets the overall guidance and expectations for team output, practices, and collaborationProvides guidance to immediate team of software engineers on daily tasks and activitiesAnticipates 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 10+ 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 leading large feature teams of software engineers to deliver intensive data driven applicationsIn-depth knowledge and experience in Java and/or Python, with a strong understanding of scripting, automation, and data analysisExtensive experience with cloud platforms such as AWS, Azure, or Google Cloud, including deployment and management of cloud-based applicationsExpertise in data platform technologies, particularly with tools like Databricks, for data processing and analyticsProficient in all aspects of the Software Development Life Cycle and advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityStrong expertise in building RESTful micro-services using Spring Boot applicationsExperience in Data technologies handling complex data processing requirements-Data streaming and messaging frameworks (e.g. Kafka, Spark Structured Streaming)Experience building data pipelines and platforms on AWSDevelopment 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 levelExperience working with large datasets, data warehouses and data modelling