Opportunity Description
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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