Cloud Engineer
hace 2 semanas
Tecnología Developer 2 hours ago
5 Years of experience
Description
Essential Duties and responsibilities:
- Understand and drive to achieve automated Cloud Native Solutions in Google Cloud Platform, Microsoft Azure, and AWS environments.
- Work on the design and implementation of Cloud Infrastructure and On Premise systems
- Implement and continuously improve upon Container Orchestration platforms to support Microservice modeled development and adoption thereof
- Design and implement future state SaaS / IaaS architecture utilizing Infrastructure as Code and Configuration Management approaches
- Implement and collaborate on solutions that increase the monitoring and observability of systems at scale and detect and alert on trends of information.
- Define metrics to ensure the high performance and stability of our development, test, and production environments.
- Enable and implement continuous delivery and continuous integration.
- Analyze a variety of approaches to SRE / DevOps problems – provide pros and cons of different approaches to the team to arrive at an agreed upon direction.
- Provide first level support for application software issues in all environments.
- Prioritize and rapidly troubleshoot issues to ensure maximum uptime and optimal performance for customers in our production environment.
Job Qualifications
Education: Bachelor of Science degree in Computer Science or related field. Master's degree preferred.
Experience
- Minimum 5 years of software related experience required, with a mixture of Site Reliability, DevOps, or Release Engineering experience with Software Engineering experience in backend services or data systems
- Cloud experience and architecture understanding of Google Cloud Platform, Azure, and/or Amazon Web Services.
- Experience using Infrastructure as Code tools Terraform, Azure RM, CloudFormation
- Hands on experience with Kubernetes, OpenShift or similar container orchestration systems
- Instrumentation experience with APM tool such as App Dynamics, DataDog, or Splunk
- Hands on experience exposing / consuming metrics and other system KPIs; DataDog, PagerDuty, Prometheus, Grafana, AlertManager experience a plus
- Experience and deep commitment to the transformation to a DevOps culture focusing on continuous integration – full lifecycle of building, automated and performance testing, and automating deployment.
- Experience with Docker, Podman, container solutions, management tools and challenges.
- Experience with Ansible, Chef, Puppet or other Configuration Management tools
- Extensive experience with Linux, Unix, Windows
- Hands on experience with Python, shell scripting, Groovy, Golang, etc.
- Experience with Jenkins, Azure DevOps, TeamCity or other Continuous Integration tools
- Solid understanding around Cloud Authentication, Authorization, and Secrets Management.
- Azure RBAC, AWS/GCP IAM - built-in and custom Roles, Security Groups and Scopes.
- Demonstrate strong problem analysis, problem resolution, and decision making and judgment skills.
- Demonstrate understanding of complex software architecture, and the ability to help enhance, support, and troubleshoot that architecture.
- Ability to leverage technical know-how to find viable compromises amidst competing business needs.
- Demonstrate ability to plan and excel in a fast-paced and demanding environment.
Location (Hybrid)
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