We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Backend Integration Engineer A020 at Pearl. 🤝 About Pearl Talent. At Pearl Talent, we work with the top 1% of candidates from around the world and connect them with the best startups in the US and EU. Our clients have raised over $5B and are backed by OpenAI, a16z, and Founders Fund. We place ambitious candidates with founders who value long-term growth, impact, and real ownership.. Why Work with Us?. We’re not just another recruiting firm— Many of our hires have even been flown out to work in the US and EU and promoted quickly.. 🏢 . About the company. Our partner company is a pioneering . Proptech startup.  on a mission to transform how properties are managed and experienced through innovative, AI-powered solutions. As they build their platform from the ground up, we’re looking for a . Backend Engineer & Integration Specialist.  to help us design a scalable, intelligent data infrastructure that powers everything from real-time product discovery to generative AI experiences.. This is a . foundational hire. —you’ll have true ownership in shaping our backend systems and integration pipelines, working directly with technical leadership and cross-functional teams.. 🌟 What You’ll Do. 🏗️ Build from Scratch. . Set up cloud infrastructure (VPCs, IAM, security, IaC via Terraform or Pulumi). . . Define backend architecture, networking standards, and cost-optimized cloud strategies. . . Contribute to scalable server-side development using . TypeScript (Node.js). and . Next.js. frameworks. . . 🔌 Integrate at Scale. . Ingest large data streams (REST, XML, EDI APIs) with robust, schema-flexible pipelines. . . Build resilient, idempotent data loaders that evolve with external data sources. . . 🔄 Own the ETL/ELT Process. . Deploy orchestration tools like Airflow, Dagster, or Prefect. . . Build and manage dbt pipelines, automated testing, CI/CD workflows, and versioned data repos. . . 🔍 Power Search & AI. . Manage Elasticsearch/OpenSearch clusters and vector databases (Pinecone, Weaviate). . . Support AI integrations through embeddings, RAG, and frameworks like LangChain or LlamaIndex.. . ✅ You Might Be a Fit If You Have:. . 5+ years designing and scaling ETL/ELT pipelines. . . Experience building backend systems and cloud architecture from scratch. . . Proficiency in . TypeScript. , . Python. , . SQL, Next.js, TypeScript, and cloud architecture (AWS preferred). . . Hands-on experience with: . . . . Orchestration:. Airflow, Dagster, or Prefect . . . Streaming:. Kafka or Kinesis . . . Cloud & IaC:. AWS (preferred), GCP or Azure, Terraform/Pulumi . . . Warehousing:. Snowflake or BigQuery . . . . Experience with search engines (Elasticsearch) and vector stores (Pinecone, Weaviate). . . Knowledge of ML/AI fundamentals—embeddings, feature stores, model ops. . . Passion for clean code, observability, data quality, and security. . . Company Location: Mexico.