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, Cloud Watch, 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/Git Hub — 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




Cloud Watch alarm design and pipeline health dashboards
Content‑hash deduplication for embedding cost optimization
Lambda memory and concurrency tuning
VPN site‑to‑site configuration
Lang Chain / Lang Graph experience
Prompt engineering fundamentals
Git Hub Actions — CI/CD pipeline setup and deployment automation

Marketing Business Acumen

What You Will Do

Design, build, and maintain cloud‑native data pipelines across AWS Lambda, S3, ECS/Fargate, and SQS
Manage and evolve infrastructure‑as‑code using Terraform across multiple environments
Build and optimize vector search workflows in Pinecone — including multi‑tenant namespace design, metadata schemas, and hybrid search
Develop and improve MCP server integrations using FastMCP SDK and Streamable HTTP transport
Implement and harden authentication flows using AWS Cognito and Secrets Manager
Monitor pipeline health via Cloud Watch — log groups, alarms, and observability for Lambda and ECS
Apply cost modeling discipline — flag and mitigate high‑cost operations (e.g. embedding calls at scale)
Work within an established SA governance model, contributing to architectural decisions with clear documentation and standards

Collaborate with engineering and applied science teams to deliver reliable, scalable data infrastructure

Why This Could Be Your Next Big Move

? Own the data foundation — You’re not maintaining legacy systems.



You’re designing the infrastructure that AI products are built on top of.
? Work at the AI/data intersection — Vector search, embeddings, MCP integrations, and multi‑tenant architectures. This is where data engineering and AI meet.
☁️ Deep AWS stack — Lambda, ECS, Cognito, SQS, Secrets Manager and more — a real opportunity to broaden and deepen your cloud expertise across a full production stack.

High ownership, high impact — Fast‑moving environment where your architectural decisions shape the product directly, with visibility across the entire engineering org.

Benefits & Compensation

$(3,500) – $(5,000)/month — paid in USD, bi‑weekly via Deel
Fully Remote — work from anywhere in Latin America
Full‑time contract with a U.S. company — 6‑month initial term, full‑time conversion
️ Paid PTO — competitive package, grows with tenure

? Referral Program — earn a bonus for referring talent that gets hired

To Apply
Please send your resume in English.

Include The Following Depending On Your Role

Linked In Profile URL (required)

Git Hub Portfolio or code samples — show us your pipeline and infrastructure work (required)

✉️ Cover Letter — tell us about a data pipeline or cloud architecture you built and the impact it had (optional but encouraged)

About One Seven Tech

Founded by James Sullivan, One Seven Tech is a premier digital product agency serving startups and enterprises. Our clients have collectively raised over $100M in VC, and our enterprise partners include 2,000+ person hospitality groups and NASDAQ‑listed companies.

We work fully remote, move fast with 1‑week sprints, and focus on elegant solutions to complex problems.

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