Position Details
About this role
This role involves leading the development of AI and full-stack systems, leveraging cloud platforms like AWS, and deploying scalable machine learning models in a fast-paced financial services environment.
Key Responsibilities
- Lead diverse technology projects
- Drive AI & ML integration
- Mentor engineering teams
- Partner with product managers
- Architect scalable cloud solutions
Technical Overview
Technical scope includes full-stack development with JavaScript, Java, Python, and Go, deploying AI/ML models using AWS SageMaker and Bedrock, orchestrating with Kubernetes, and managing distributed microservices architecture.
Ideal Candidate
The ideal candidate is a senior software engineer with 6+ years of experience in full-stack development, cloud computing, and AI/ML, particularly with AWS and Kubernetes. They should have expertise in deploying and scaling AI models and a strong background in distributed microservices.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud platforms like AWS, No background in AI or ML, Unwillingness to work in Plano, TX
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