Remote Backend Engineer - Python + Kubernetes

BairesDev; United States; Remote; CLP 88,322,000 - 147,203,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Hardware and software setup for home

Flexible hours

Parental leaves and holidays

Mentorship and growth opportunities

Job summary

BairesDev is seeking a Software Engineer (Python + Kubernetes) to design and build distributed backend services. You will orchestrate containerized workloads in Kubernetes, integrate with AWS cloud services, and develop data pipelines using Spark for scalable systems.

The role emphasizes building robust automation, reliability, and observability, with remote work options and a global impact on projects for top tech organizations.

Qualifications

• 4+ years of software engineering, DevOps, or cloud infrastructure experience.
• Proven expertise in distributed systems using Python.
• Proficiency in orchestrating 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.

Responsibilities

• 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.
• Collaborate with engineering teams to improve reliability and observability across the infrastructure.

Skills

Python

Kubernetes

AWS

Spark

Distributed systems

English

Tools

Docker

Cloud tooling

Job description

BairesDev is seeking a Software Engineer (Python + Kubernetes) to design and build distributed backend services. You will orchestrate containerized workloads in Kubernetes, integrate with AWS cloud services, and develop data pipelines using Spark for scalable systems.

The role emphasizes building robust automation, reliability, and observability, with remote work options and a global impact on projects for top tech organizations.