Senior Staff Software Engineer

Overview

Overview:

We’re investing in a culture of “builders” by fostering an environment where innovation, creativity, and bold thinking are encouraged. I believe that the “builder” mindset is necessary for us to accelerate our move toward AI-native experiences. This requires more builders who can rapidly apply AI and emerging technologies to solve our customers’ problems.

What you'll bring

Qualifications

• Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
• 8+ years of experience developing systems/software for large business environments.
• 5+ years of experience designing complex distributed systems, management products, or business applications.
• Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
• Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python
• Experience with at least one of the following:
• Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)
• Back-end technologies like Java, Typescript, Spring, Express (NodeJS)
• Prior working experience in a cloud computing environment like AWS/GCP is highly desired.
• Prior experience working in teams that have built AI native applications for 1+ years
• BS/MS in Computer Science or related area.

How you will lead

Responsibilities

• Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.
• Drives significant technology initiatives end-to-end, including horizontal layers of the architecture.
• Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems.
• Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment
• Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership.
• Knowledge of building AI native applications
• Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
• Understands evaluation tools to validate and measure the accuracy of solutions.
• High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons.
• Understanding of the latest tools and technologies that apply AI to real-world applications.
• Creates robust, scalable, and secure technical designs, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications
• Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems