Sr Developer - Full Stack
$121,100–$121,100 year
On-siteNew York City, New York, United States or New York, United States
Job Summary
Lead full-stack development across complex design, integration, and maintenance phases while defining firm-wide best practices and mentoring team members. Transform wireframes into front-end functionality using Angular and C#, create accessible UI components, and implement unit testing platforms. Coordinate developmental efforts with cross-functional teams, document code effectively, and resolve critical issues using an architecture-driven approach. Leverage AWS cloud technologies, Terraform, and CI/CD tooling to deploy serverless and container-based applications, including AI/ML pipelines via SageMaker and Glue. Ensure efficient data movement through ETL processes and maintain scalable data frameworks for large-scale processing.
Required Qualifications
- Understanding of ETL (Extract, Transform, Load) processes to ensure efficient data movement and transformation
- Understanding of event-driven microservices architecture residing within the AWS cloud, including experience deploying applications within this type of environment
- Expertise with AWS services and implementation practices
- Experience using Infrastructure as Code tools such as Terraform for provisioning of public and private clouds
- Familiarity with CI/CD tooling for broad scope orchestration, including platforms such as GitLab, GitHub, and Azure DevOps
- Experience in serverless and container-based technologies within AWS such as Lambda, Fargate, and ECS
- Bachelor's degree in Computer Science or related field; or equivalent experience
- 6+ years of progressive experience in software development
- High-level proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript
- High-level proficiency with JavaScript frameworks such as Angular
- Previous experience with server-side languages such as C#
- Previous experience with database technology such as SQL Server, MySQL, or Oracle
- Previous experience with Git (or other version control systems)
- Experience implementing testing platforms and unit tests
- Oral and Written Expression – Proven ability to communicate information and ideas in spoken or written form so that others will understand
- Judgment and Decision Making — Ability to deal with ambiguity and rapid change
- Time Management – Highly self-motivated and delivery focused
- Displays awareness of the impact of actions on the business and demonstrates understanding of the context of the company and acts in line with it
Desired Qualifications
- Familiarity with AWS/Cloud Technologies a strong plus
- Experience working in a financial services or broker/dealer environment preferred but not required
- Continue to stay on top of the latest technologies and see how they can be applied to Stifel's needs throughout the organization
- Past education or interest in mathematics or financial modeling preferred but not required
- Hands-on experience or strong awareness of developing, deploying, and maintaining AI/ML models in production environments, ensuring reliability and performance
- Proficiency with AWS AI/ML services, including Amazon SageMaker (for building, training, and deploying models), AWS Glue (for data preparation and ETL workflows), Amazon Comprehend (for NLP and text analytics), Amazon Lex (for conversational interfaces), and Amazon Polly (for text-to-speech). Experience integrating these services into end-to-end AI/ML pipelines, managing model versioning and deployment, and optimizing performance and cost within AWS
- Experience designing, building, and maintaining scalable data pipelines for AI/ML
- Familiarity with distributed data processing frameworks for handling large-scale or real-time data
- Experience with containerization and orchestration for scalable
- Knowledge of MLOps practices, including model orchestration, deployment, monitoring, and lifecycle management using platforms such as MLflow, Kubeflow, or Vertex AI
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