Senior Python Engineer – DevOps, AWS, Terraform

Stellenbeschreibung:

Responsibilities

  • Write high-quality software that performs at scale, is supportable, and is extensible
  • Foster a culture that values technical excellence and collaboration
  • Own specific platform component or service requirements in collaboration with Platform Owners
  • Define and prioritize platform component or service details based on developer needs
  • Integrate the software stack with the existing CI/CD pipeline
  • Build dynamic GitLab CI/CD pipelines using Python
  • Build and deploy serverless event-driven architecture patterns across AWS, GCP, Azure, and other major cloud providers

Requirements

  • Python Programming
  • Experience with Major Cloud Provider (AWS / GCP / Azure and others)
  • Serverless event driven architecture solutions
  • Infrastructure provisioning, configuring and testing (Terraform, Ansible)
  • CI/CD (GitLab)
  • Kubernetes (nice to have)
  • Logging and monitoring (Prometheus and Grafana) (nice to have)
  • Certifications (AWS / K8s) (nice to have)

Core Competencies

Demonstrates expertise in Python Programming and building serverless event-driven architecture solutions across major cloud providers. Proficient in CI/CD practices, particularly with GitLab, and infrastructure provisioning using tools like Terraform and Ansible.

Highest-signal resume keywords

  • Python Programming
  • Serverless Event-Driven Architecture
  • CI/CD (GitLab)
  • Infrastructure Provisioning (Terraform, Ansible)
  • Major Cloud Provider Experience (AWS, GCP, Azure)

Hard Skills

  • Python Programming
  • Serverless Event-Driven Architecture
  • Infrastructure Provisioning
  • CI/CD
  • Terraform
  • Ansible

Soft Skills

  • Collaboration
  • Technical Excellence

Certifications & Qualifications

  • AWS Certification
  • Kubernetes Certification

Tools & Technologies

  • GitLab
  • AWS
  • GCP
  • Azure
  • Kubernetes
  • Prometheus
  • Grafana

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Stelleninformationen

  • Veröffentlichungsdatum:

    16 Sep 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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