Summary: This role involves owning the design, deployment, and reliability of end-to-end data pipelines for AI-driven products in a fast-moving, high-impact environment. Highlights: 1. Own the data foundation for AI products, not legacy systems 2. Work at the intersection of AI and data engineering with modern tech 3. High ownership and impact in architectural decisions **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 pipeline health dashboards * Content\-hash deduplication for embedding cost optimization * Lambda memory and concurrency tuning * VPN site\-to\-site configuration * LangChain / LangGraph experience * Prompt engineering fundamentals * GitHub 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 CloudWatch — 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:** * LinkedIn Profile URL (required) * GitHub 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 OneSeven Tech Founded by James Sullivan, OneSeven 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.