Staff Backend Engineer (GraphQL / AWS / Python)

We Are

Wizeline is a global AI-native technology solutions provider that develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve.

Are you a fit?

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.

We are looking for a Staff Backend Engineer to lead the design and development of scalable, high-performance applications across the backend.

You will play a key role in defining system architecture, mentoring engineers, and driving best practices, while collaborating closely with cross-functional teams to deliver impactful digital products.

This is a hybrid position based in Medellín or Bogotá, offering a balance between onsite collaboration and remote flexibility.

• AWS Architecture (Mandatory): Act as the core AWS Architect—must hold an active AWS Solutions Architect Certification or equivalent expert-level verified experience. Design and optimize secure serverless infrastructure using API Gateway, Lambdas, Step Functions, and strict IAM Policies.
• Backend & APIs: Build high-performance microservices using Python (FastAPI) and GraphQL under an Event-Based Architecture.
• Integrations & Security: Implement secure web flows and advanced OAuth architectures, focusing on On-Behalf-Of (OBO) user permission flows with external services.
• Observability: Maintain system health and logs using AWS CloudWatch and CloudTrail.

Technical Requirements

• Expert knowledge of AWS (Lambda, Step Functions, API Gateway, IAM, CloudWatch/Trail).
• Strong production experience with Python and modern web frameworks (FastAPI preferred).
• Deep understanding of GraphQL, Microservices, and Event-Driven design.
• Proven experience handling advanced web security and OAuth / On-Behalf-Of flows.

Nice-to-have

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
• Hands-on experience integrating AI workflows, LLMs, and RAG pipelines.

What We Offer

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• A Vibrant Community
• Total Rewards
• Specific benefits are determined by the employment type and location.

Find out more about our culture here.