Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience in solution enablement of complex multi-tenant and multi-cloud solution.
- Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s), applications, and architecture
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience
- Expert in AWS, Azure and/or GCP Well Architected Frameworks.
- Experience in building AI-driven solutions, particularly using Generative AI, encompassing data collection and processing to model development, training, finetuning and evaluation.
Preferred qualifications, capabilities, and skills
- Financial Services Industry experience is preferred.
- Proficient knowledge in Data & AI/ML cloud solution stacks on AWS, Azure and/or GCP.
- Adds to team culture of diversity, equity, inclusion, and respect