Location

Remote — Argentina, Colombia, México, Chile, Uruguay

Job Type

Full‑time contract

Date Posted

March, 2026

Project Brief

We’re building a cloud‑native data infrastructure powering AI‑driven products— from ingestion pipelines and vector search to MCP‑based integrations and multi‑tenant architectures. You’ll own the design, deployment, and reliability of data pipelines end‑to‑end, working across AWS, Terraform, and Pinecone in a fast‑moving environment where architectural decisions matter and ownership is real.

Must‑Haves

- Strong Python skills — Lambda functions, scripting, API consumption, and data processing pipelines
- Hands‑on AWS experience across: Lambda, S3, API Gateway, ECS/Fargate, Secrets Manager, Cognito, CloudWatch, and SQS + DLQ
- Terraform for infrastructure‑as‑code — remote state with S3 + DynamoDB, modular resource definitions, and multi‑environment management
- Docker — containerization, Dockerfile hardening, and ECS task image builds




- Pinecone — index creation, namespace design for multi‑tenancy, metadata schema, upsert logic, and hybrid search configuration
- Experience with embedding models and ETL/data transformation pipelines
- MCP protocol experience — FastMCP SDK, Streamable HTTP transport, tool definition
- REST API consumption — Cognito‑authenticated requests, response parsing, and S3 persistence
- Git/GitHub — trunk‑based branching, semantic PRs, and branch‑per‑feature workflows
- JSON schema design for pipeline service contracts and API response structures
- Retry and error handling patterns — exponential backoff and failure architecture
- Clear English communication and ability to work independently with minimal supervision

Nice to Have

- Incremental update and change detection logic for pipeline efficiency
- CloudWatch alarm design and p

📌 Data Engineer Ssr / Sr — Python, AWS, Terraform, Pinecone (Argentina)
🏢 OneSeven Tech (OST)
📍 Argentina