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Key Responsibilities:

  • Design and build high-performance, secure, and well-documented code that integrates with an ecosystem of existing services and apps.
  • Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
  • Leverage AWS services, Kubernetes, and modern DevOps practices to build and deploy production-grade systems at scale.

Ideal Candidate Profile:

  • Degree in Computer Science, Engineering, or related field and 5-8 years of experience writing software in a commercial setting.
  • Experience developing web apps across the full stack (React, Python, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Pydantic, Poetry or UV).
  • Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code, and CI/CD pipelines.

Bonus Points:

  • Exposure to AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or agentic frameworks.
  • Experience with and web services for CRUD services (SQLModel, FastAPI, Django).
  • Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).

Marsie

Marsie connects top-tier engineers from Latin America with leading global teams, embedding experienced engineers into clients’ teams. Their engineers work on complex systems across modern stacks and cloud environments, while enjoying a remote culture built on trust and long-term relationships.

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