Job responsibilities
- Manage engineering teams and be responsible for the technology delivery of the product priorities. A strong technical focus on building the right thing in the right way to enable high quality solutions that meet customers' needs
- Engage with business stakeholders to break down complex and ambiguous problems into technical design that an engineering team can implement under your guidance
- Champion engineering practices; Improve the effectiveness of the Engineering teams through coaching, mentoring and resolution of impediments
- Partner with leadership team for driving NFR, Modernization initiatives and controls
- Influence peer leaders and senior stakeholders across the business, product, and technology teams
- Ensure successful collaboration across teams and stakeholders
- Identify and mitigates issues to execute a book of work while escalating issues as necessary
- Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
- 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 either Python or Java based technologies and AWS.
- Experience leading technology projects
- Experience managing technologists
- Proficient in automation and continuous delivery methods
- 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 Software Design and Architecture. Experience in AWS ECS/EC2, EMR, S3, Lambda and cloud monitoring tools like Splunk, Datadog, and Cloudwatch
- Experience with ETL, Object Oriented methodology of design and development, and Batch processes. Experience with databases like Teradata, Cassandra, Snowflake, batch apps performance tuning, Spark engineering framework experience (Spark SQL/JSON formats).
- Ability to plan, prioritize and follow through on their work and meet deadlines in a fast-paced environment, while also clearly articulating both technical and non-technical issues with stake holders & partners like Architects, Data, Analytics & Product Owners
Preferred qualifications, capabilities, and skills
- Experience working at code level
- Experience working with AI/ML tools, Public Cloud technologies and large scale Data Lakes
- Hands-on experience in working with cloud native applications, AWS patterns and services for big data processing, stream processing, application serving
- Technical knowledge of data management and governance, big data platforms and data architecture