Software Engineer

Remote (Chile)Full-time

Apply on LinkedIn

Build and scale cloud-first systems handling hundreds of terabytes of data. Own the full lifecycle of your work — from architecture and implementation to deployment and monitoring.

Tech Stack

JavaPythonReactAWSGCPMySQL / AuroraBigQuery

What You'll Do

• Work with product and internal stakeholders to define requirements and design scalable solutions.
• Develop and maintain backend services in Java and complementary components in Python.
• Build, maintain, and optimize APIs, distributed components, and integrations.
• Implement unit, integration, and automated tests.
• Use AI tools daily for coding acceleration, architecture exploration, troubleshooting, and documentation.
• Participate in deployments, release processes, observability, and performance tuning.
• Follow and enforce security and compliance standards.

What We're Looking For

• 3+ years of experience as a Software Engineer.
• Solid expertise in Java, with working experience in Python.
• Experience with AWS or GCP architectures and modern distributed systems.
• Strong understanding of relational databases (MySQL/Aurora) and large-scale data processing.
• High proficiency using AI tools.
• Strong experience with CI/CD and automated testing.
• Fluency in Spanish and English (written and spoken).

Nice to Have

• Experience with BigQuery or analytical data systems.
• Exposure to Docker, Kubernetes, or serverless architectures.

Data Engineer

Remote (Chile)Full-time

Apply on LinkedIn

Build and scale the data infrastructure powering our core products and analytics. Work closely with business stakeholders and Data Scientists to translate analytical requirements into production-grade pipelines.

Tech Stack

PythonJavaGCP (BigQuery, Dataflow, Cloud Storage)AWS (S3, Lambda, EC2)MySQL

What You'll Do

• Design, build, and maintain ETL/ELT pipelines and ingestion systems at massive scale.
• Work closely with business teams and Data Scientists to translate requirements into production-ready pipelines.
• Use AI tools extensively to accelerate development, improve validation, and automate documentation.
• Implement strong data validation, automated testing, and monitoring frameworks.
• Apply and enforce security and compliance standards.
• Own deployments and reliability of data workflows, ensuring scalability as data grows.
• Build and enforce Data Quality frameworks including validation rules, anomaly detection, and monitoring dashboards.

What We're Looking For

• 3+ years of experience as a Data Engineer.
• Strong expertise in Python for data processing.
• Excellent SQL skills and experience with MySQL.
• Hands-on experience with BigQuery and cloud-native data platforms.
• Experience working with large-scale datasets (hundreds of GB to many TB).
• Strong, hands-on expertise in Data Quality frameworks and observability.
• Fluency in Spanish and English (written and spoken).

Nice to Have

• Experience with orchestration tools like Airflow.
• Familiarity with infrastructure-as-code or containerization.
• Exposure to cloud optimization techniques.

Build and scale cloud-first systems handling hundreds of terabytes of data. Own the full lifecycle of your work — from architecture and implementation to deployment and monitoring.

Tech Stack

JavaPythonReactAWSGCPMySQL / AuroraBigQuery

What You'll Do

• Work with product and internal stakeholders to define requirements and design scalable solutions.
• Develop and maintain backend services in Java and complementary components in Python.
• Build, maintain, and optimize APIs, distributed components, and integrations.
• Implement unit, integration, and automated tests.
• Use AI tools daily for coding acceleration, architecture exploration, troubleshooting, and documentation.
• Participate in deployments, release processes, observability, and performance tuning.
• Follow and enforce security and compliance standards.

What We're Looking For

• 3+ years of experience as a Software Engineer.
• Solid expertise in Java, with working experience in Python.
• Experience with AWS or GCP architectures and modern distributed systems.
• Strong understanding of relational databases (MySQL/Aurora) and large-scale data processing.
• High proficiency using AI tools.
• Strong experience with CI/CD and automated testing.
• Fluency in Spanish and English (written and spoken).

Nice to Have

• Experience with BigQuery or analytical data systems.
• Exposure to Docker, Kubernetes, or serverless architectures.

Build and scale the data infrastructure powering our core products and analytics. Work closely with business stakeholders and Data Scientists to translate analytical requirements into production-grade pipelines.

Tech Stack

PythonJavaGCP (BigQuery, Dataflow, Cloud Storage)AWS (S3, Lambda, EC2)MySQL

What You'll Do

• Design, build, and maintain ETL/ELT pipelines and ingestion systems at massive scale.
• Work closely with business teams and Data Scientists to translate requirements into production-ready pipelines.
• Use AI tools extensively to accelerate development, improve validation, and automate documentation.
• Implement strong data validation, automated testing, and monitoring frameworks.
• Apply and enforce security and compliance standards.
• Own deployments and reliability of data workflows, ensuring scalability as data grows.
• Build and enforce Data Quality frameworks including validation rules, anomaly detection, and monitoring dashboards.

What We're Looking For

• 3+ years of experience as a Data Engineer.
• Strong expertise in Python for data processing.
• Excellent SQL skills and experience with MySQL.
• Hands-on experience with BigQuery and cloud-native data platforms.
• Experience working with large-scale datasets (hundreds of GB to many TB).
• Strong, hands-on expertise in Data Quality frameworks and observability.
• Fluency in Spanish and English (written and spoken).

Nice to Have

• Experience with orchestration tools like Airflow.
• Familiarity with infrastructure-as-code or containerization.
• Exposure to cloud optimization techniques.