Senior Python + Kubernetes Engineer — Remote

BairesDev; United States; À distance; CLP 88 670 000 - 128 079 000; Plein temps

Avantages offerts par ce poste

100% remote work

Competitive USD compensation

Hardware and software setup for home

Flexible hours

Paid parental leaves and vacations

Résumé du poste

BairesDev is seeking a Software Engineer to build distributed systems with Python and Kubernetes. You will design backend services, implement containerized workloads, and leverage AWS and Spark to power scalable data pipelines.

Join a fully remote team with flexible hours, competitive USD compensation, and a global culture of Top 1% talent. You’ll collaborate across continents and enjoy strong mentorship and growth opportunities.

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 application deployments within Kubernetes clusters.
• Build and maintain scalable backend infrastructure leveraging AWS services.
• Implement data processing solutions and pipelines using Spark to support large-scale workloads.
• Automate the deployment and lifecycle management of applications to ensure high availability and performance.
• Collaborate with engineering teams to optimize system reliability and observability across the infrastructure.

Connaissances

Python

Kubernetes

Distributed systems

AWS cloud services

Spark

English (Advanced)

Outils

Spark

Description du poste

BairesDev is seeking a Software Engineer to build distributed systems with Python and Kubernetes. You will design backend services, implement containerized workloads, and leverage AWS and Spark to power scalable data pipelines.

Join a fully remote team with flexible hours, competitive USD compensation, and a global culture of Top 1% talent. You’ll collaborate across continents and enjoy strong mentorship and growth opportunities.