Postúlate en Kit Empleo: kitempleo.com.ar/empleo/moqd8

Location
Remote — Argentina, Colombia, México, Chile, Uruguay
Job Type
Full-time contract
Date Posted
March, ****
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

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/moqd8

📌 Data Engineer Ssr / Sr — Python, Aws, Terraform, Pinecone (Godoy Cruz)
🏢 OneSeven Tech (OST)
📍 Godoy Cruz