Mexico, Remote

What You’ll Do

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data‑intensive and event‑driven applications using Python, Typescript, Spark, and AWS‑native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
• Mentor developers, guide code reviews, and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes‑based workflows.

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