Senior Backend Software Engineer (Remote – Mexico)

Join a fast-growing AI data infrastructure company building the platform that leading AI labs use to train next-generation models. Our client has created one of the largest licensed platforms of scarce, proprietary data for AI — spanning video, audio, text, and business workflows — indexing, enriching, and packaging it into training-ready formats.

We're hiring a Senior Backend Software Engineer with deep expertise in distributed systems, Elasticsearch, and container orchestration to help design and operate backend services at scale.

Key Responsibilities
Design, develop, and maintain scalable backend services and APIs using microservices architecture
Build and operate production workloads on Kubernetes (deployments, services, ingress, autoscaling, Helm, etc.)
Work extensively with Elasticsearch — indexing, querying, aggregations, performance tuning, and cluster management
Apply distributed systems concepts to design fault-tolerant, highly available, and scalable systems




Optimize application performance and reliability in distributed and containerized environments
Design and implement robust CI/CD pipelines with GitOps and Kubernetes-native deployments
Troubleshoot complex issues across services, ECS/EKS clusters, and Elasticsearch
Improve system observability, monitoring, and alerting in distributed environments
Participate in architectural decisions and mentor engineers on distributed systems and Kubernetes best practices
Collaborate with platform teams to evolve internal tooling and developer experience

Requirements
10+ years of professional software engineering experience (strong backend focus)
Strong hands-on experience with Kubernetes (3+ years running production workloads)
Solid experience with Elasticsearch (indexing strategies, query optimization, cluster scaling)
Strong understanding of distributed systems concepts (consistency models, partitioning, replication, consensus, failure handling, CAP theorem)

📌 Senior Backend Software Engineer (México)
🏢 Hirably
📍 México