Sr Developer - Full Stack

Stifel-posted 2 days ago
Full-time • Mid Level
New York, NY
5,001-10,000 employees
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Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole. Let’s talk about how you can find your place here at Stifel, where success meets success . What You'll Be Doing The Senior Developer will participate in all phases of the development process including complex design, integration and maintenance while observing proper behaviors, patterns, and standards. The Senior Developer will demonstrate leadership in mentoring and assisting all on the team, and will actively participate in all disciplines required in a full-stack environment. The Senior Developer will participate in defining Stifel's best practices and ensure they are used in all development projects and procedures.

  • Facilitate the growth of other developers through code review and one-on-one interaction.
  • Document clearly and effectively within code as well as outside of code.
  • Coordinate with other team members when tackling developmental efforts.
  • Demonstrate a proactive, architecture-driven approach to problem resolution, with strong troubleshooting and problem-solving skills, especially in crisis situations.
  • Transform mockups and wireframes into usable front-end functionality through developing, testing, and revising web application code.
  • Create components based on user interface/user experience norms, including optimal accessibility, navigation, and cross-browser performance.
  • Continue to stay on top of the latest technologies and see how they can be applied to Stifel’s needs throughout the organization.
  • Understanding of ETL (Extract, Transform, Load) processes to ensure efficient data movement and transformation
  • 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.
  • Bachelor's degree in Computer Science or related field; or equivalent experience required.
  • 6+ years of progressive experience in software development.
  • Familiarity with AWS/Cloud Technologies a strong plus.
  • 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.
  • Experience working in a financial services or broker/dealer environment 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.
  • Past education or interest in mathematics or financial modeling preferred but not required.
  • health, dental and vision care
  • 401k
  • wellness initiatives
  • life insurance
  • paid time off
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