Senior Software Engineer- Backend, Python
Senior Backend Engineer at Beyond, a technology consultancy, building and scaling Python backends and production AI features (RAG pipelines, LLM orchestration, agentic workflows on Vertex AI) for enterprise clients on GCP using Cloud Run/GKE, Terraform, and CI/CD. Based in Buenos Aires with 1-2 office days weekly and early-morning syncs with US and European teams.
- Compensation
- Not disclosed
- Location
- Buenos Aires, Argentina
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Backend
- Posted
Skills
Must have
- 6+ years of professional backend development experience with a strong focus on distributed systems
- Mastery of the Python ecosystem (FastAPI, Flask, or Django) and asynchronous programming
- Hands-on experience with Google Cloud Platform services (App Engine, Cloud Run, Vertex AI, BigQuery, Cloud SQL)
- Proven experience integrating LLMs into applications and understanding of vector databases (e.g., Vertex Vector Search, Pinecone)
- Proficiency with Docker, Kubernetes, and Terraform
- Fluent English with ability to discuss technical trade-offs with peers and stakeholders
- Willingness to be present in the Buenos Aires office one to two days a week when not on project work
Nice to have
- Experience with AI frameworks such as LangChain or LlamaIndex
- Understanding of data pipelines and ETL processes for AI model training and retrieval
- Experience with headless CMS architectures or Digital Experience Platforms (DXP)
- GCP Professional Cloud Architect or Professional Data Engineer certification
Full description
Beyond is a technology consultancy helping organizations thrive in a rapidly changing world. We build, modernize, scale, and operationalize technology, creating cloud and AI solutions to unlock productivity and drive customer growth.
Role Overview
We are seeking a Senior Backend Engineer with deep expertise in Python, Google Cloud Platform and AI solutions to join our Americas team. In this role, you will be responsible for building and scaling the backend systems that power complex, AI-driven applications for our enterprise clients in North America.
Based in Argentina, you will act as a core technical pillar for the region, bridging the gap between client requirements and high-performance delivery. You will focus on engineering excellence, specifically in the realms of generative AI and cloud-native architecture, while collaborating with our global engineering teams in Europe.
As a Senior Backend Engineer at Beyond, you’ll:
- Develop Core Logic: Write clean, maintainable, and highly efficient code in Python to support high-scale content platforms and data-intensive applications.
- Implement AI Solutions: Build and deploy production-grade AI features, including RAG (Retrieval-Augmented Generation) pipelines, LLM orchestrations, and Agentic workflows using Vertex AI.
- Engineer Cloud Infrastructure: Design and configure scalable backend architectures on GCP, utilizing Cloud Run, GKE, and Cloud Functions with a focus on performance and observability.
- Own Technical Design: Author Technical Design Documents (TDDs) that translate business needs into executable backend blueprints using modern cloud-native patterns.
- Deploy & Automate: Manage the full lifecycle of your code, from local development to production, leveraging Terraform for Infrastructure as Code (IaC) and robust CI/CD pipelines.
- Collaborate Globally: Work closely with US-based product owners and European delivery teams, requiring a proactive communication style and flexibility for early-morning syncs.
- Ensure Quality: Champion best practices in API design, security, and automated testing to ensure the reliability of enterprise-level deployments.
Things that will make you stand out:
- Engineering Experience: 6+ years of professional experience in backend development, with a strong focus on building distributed systems.
- Python Expertise: Mastery of the Python ecosystem (FastAPI, Flask, or Django) and experience with asynchronous programming.
- GCP Proficiency: Hands-on experience with Google Cloud Platform services, specifically App Engine, Cloud Run, Vertex AI, BigQuery, and Cloud SQL.
- AI/ML Integration: Proven experience integrating LLMs into applications and an understanding of vector databases (e.g., Vertex Vector Search, Pinecone).
- DevOps Skills: Proficiency with Docker, Kubernetes, and Terraform.