Job responsibilities
- Provides guidance to immediate team of software engineers on daily tasks and activities
- Sets the overall guidance and expectations for team output, practices, and collaboration
- Anticipates dependencies with other teams to deliver products and applications in line with business requirements
- Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
- Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience
- 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
- In-depth knowledge and experience in Java and/or Python, with a strong understanding of scripting, automation, and data analysis
- 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
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
Preferred qualifications, capabilities, and skills
- Experience working with large datasets, data warehouses and data modelling
- Strong expertise in building RESTful micro-services using Spring Boot applications
- Development experience on private cloud, AWS public cloud (EC2, S3, RDS, Lambda, EMR, Step functions, Glue), ETLs and Data Pipeline