Backend Developer

Requisition Number: 103074

Backend Developer, AI

Location:

You will have the flexibility to work fully remote in the US

Compensation:
The compensation for this role may range from $,500 USD salary.

• 14,000+ engaged teammates globally
• #20 on Fortune’s World'sBest Workplaces™ list
• $9.2 billion in revenue
• Received 35+ industry and partner awards in the past year
• $1.4M+ total charitable contributions in 2023 by Insight globally

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions.

As a Backend Developer, you will be responsible for the core server-side logic, APIs, and data processing that power our AI-driven applications. Your expertise in Python, API design, and the Google Cloud Platform will be essential in building robust, scalable, and high-performance applications that power our AI transformation initiatives. Along the way, you will get to:

• Back-End Development: Design, build, and maintain server-side logic, data models, and high-performance APIs using Python libraries like FastAPI. You will be responsible for the core business logic and data processing that powers our applications.
• Cloud Application Development: Leverage Google Cloud Platform developer tools and services to deploy, manage, and scale backend systems. This includes working with services for authentication, data storage (Firestore, Big Query, Cloud Storage), and serverless functions.
• AI/ML Development: Build the backend infrastructure for LLM-powered applications, including developing APIs for prompt engineering and implementing agentic AI design patterns.
• Database Management: Design and manage database schemas, ensure data integrity, and optimize database performance for our applications on platforms like Firestore and Big Query.
• Collaboration: Work closely with front-end developers, product designers, data scientists, and other engineers to translate business requirements into technical solutions and deliver high-quality products.
• Maintenance & Optimization: Troubleshoot, debug, and upgrade existing backend services to ensure they are performant, secure, and reliable. Focus on optimizing application performance, scalability, and security.
• Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

• Experience: A minimum of 5 years of experience as a backend developer with a proven track record of delivering large-scale, complex, API-driven applications.
• Technical
  
  Skills:
  
  
  • Back End: Expert-level Python with extensive experience in asynchronous programming. Proven ability to build and deploy high-performance, data-validated APIs using FastAPI & Pydantic.
  • Google Cloud Platform (GCP): Hands‑on experience with Vertex AI (Gemini), Firestore, Big Query, and Cloud Storage.
  • AI/ML Development: Experience building the backend services for applications with Large Language Models (LLMs). Familiarity with agent-based systems (Google ADK, A2A SDK) is a major plus.
  • Docker & Microservices: Proficiency in containerizing applications and extensive experience working in a microservices architecture.
  • Software Engineering Fundamentals: Strong skills in API design, testing (pytest, unittest), and CI/CD practices.
• Problem‑Solving: Excellent problem‑solving and debugging skills with a proactive approach to identifying and resolving technical challenges in a distributed environment.
• Communication: Strong communication skills with the ability to articulate technical concepts and collaborate effectively within an agile team environment.

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