Remote Python + Kubernetes Engineer

BairesDev; United States; À distance; USD 120 000 - 170 000; Plein temps

Avantages offerts par ce poste

Remote work from anywhere

Flexible hours

Competitive compensation

Résumé du poste

BairesDev is hiring a Software Engineer (Python + Kubernetes) to design and build distributed systems and orchestrate workloads in Kubernetes. You will integrate backend infrastructure with cloud-native technologies to ensure scalable applications are supported by robust automation.

This 100% remote role offers competitive USD compensation, flexible hours, and a global, mentorship-driven environment with opportunities to work on AWS, Spark, and Kubernetes at scale.

Qualifications

• 4+ years of experience in Software Engineering, DevOps, or Cloud Infrastructure.
• Proven expertise in developing distributed systems using Python.
• Proficiency in orchestrating and managing containerized workloads with Kubernetes.
• Hands-on experience with AWS cloud services and infrastructure.
• Strong background in data processing using Spark for scalable backend systems.
• Advanced proficiency in English.

Responsabilités

• Design and develop backend services and distributed systems using Python.
• Orchestrate and manage containerized workloads and deployments within Kubernetes clusters.
• Build and maintain scalable backend infrastructure leveraging AWS services.
• Implement data processing solutions and pipelines using Spark for large-scale workloads.
• Automate deployment and lifecycle management of applications for high availability and performance.
• Collaborate with engineering teams to optimize reliability and observability across the infrastructure.

Connaissances

Distributed systems

Python development

DevOps

Cloud infrastructure

Outils

Kubernetes

AWS

Spark

Description du poste

BairesDev is hiring a Software Engineer (Python + Kubernetes) to design and build distributed systems and orchestrate workloads in Kubernetes. You will integrate backend infrastructure with cloud-native technologies to ensure scalable applications are supported by robust automation.

This 100% remote role offers competitive USD compensation, flexible hours, and a global, mentorship-driven environment with opportunities to work on AWS, Spark, and Kubernetes at scale.