Cloud Automation Solutions Developer

1 dzień temu


Gdynia, Pomerania, Polska B2B S.A. Pełny etat
Job Title: Cloud Automation Solutions Developer - Infrastructure as Code Expert

About the Role:
In this role, you will work with our team to build private and public cloud solutions using an infrastructure as code approach. You will be responsible for Terraform, which is part of our DevOps platform.

Your Responsibilities:
• Build and support automation solutions around the platform.

Work Environment:
This is a hybrid position that requires 1 day of in-office work per week.

Requirements:
• Strong knowledge of Git, including branching models, tagging, pull requests, and code reviews, tasks.
• Understanding of importance and experience with linting.
• API knowledge – verbs, request & response payloads, authentication methods, path/query/body parameters, headers.
• Understanding of CI/CD pipelines and deployment patterns; build & deploy phases.
• Understanding of importance of proper documentation and examples in Markdown format.
• Bash scripting proficiency.
• Good troubleshooting skills.
• Able to work independently.

Good to Have Skills:
• Knowledge of Ansible Collections, roles, modules, plays, and playbooks.
• Jinja2 templating knowledge.
• Secrets handling.
• Loops, interacting with web services.
• AWX/AAP experience.
• Jenkins Triggering jobs externally.
• Developing pipelines, steps, stages, basic DSL knowledge.
• Error handling.
• Developing libraries.
• Parameters and parameter types.
• Groovy experience.
• Tekton knowledge.
• Terraform Data sources and resources.
• Understanding of providers, modules, experience in module development.
• Running tf code conditionally + loops.
• Templating, complex structure / variables handling.
• Forcing dependencies, targeting resources.
• Knowledge about tf state, importing resources.
• TFE experience.
• Code security.
• Containers and Kubernetes.
• Good understanding of container, pod, deployment, service, ingress, secret, replica set, namespace.
• Hands-on experience with kubectl + kubeconfig.
• Managing volumes.
• Scaling deployments.
• Troubleshooting, analysing logs and events.
• Good understanding of Dockerfile and building images, image tagging.
• Container registry.
• Python.

Benefits:
• Sharing the costs of sports activities.
• Private medical care.

Salary: $80,000 - $110,000 per year.

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