Position: GCP Cloud DevOps Engineer
Company: Particles Global
Category: DevOps
Experience required: 3y
English level: intermediate
Published: 2021-05-01T00:00:00+03:00

The company was founded with a determined spirit and a simple mission - to help SMEs worldwide get paid in a quick, efficient and friendly way so that they save time on manual tasks and improve cash flow. Its product was originally launched in 2014 as a credit control app by a Finance Director who was frustrated with the manual processes and inefficiencies in chasing payments. Today, the company is reinventing the way businesses think and behave with regards to payments.
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Responsibilities are as follows:**

- Design and implement the infrastructure for a highly secure, scalable, and high-performance cloud-based system.
- Setup/improve advanced automated testing, monitoring, logging, and tracing tools to improve insights in the platform.
- Define metrics and continuously test and evaluate the services and infrastructure for performance and availability.
- Monitor and inspect the cloud infrastructure and services and respond to issues and failures.
- Build automation pipelines and tools to assist the engineering team in continuous and reliable integration and delivery processes.
- Promote CI/CD best practices and mentor engineers to embrace and adopt them.
 
**Required skills:**
 
- Over 3 years of experience in the use, installation, support and troubleshooting Linux servers
- 3 years+ of experience with DevOps (Continuous Integration, Continuous Delivery, Continuous Monitoring, Advanced Logging)
- Minimum experience with containerization
- Minimum 1 year of experience with DevOps in GCP, experience of working with Docker, Kubernetes, Istio, cloud network, monitoring and security on GCP
- Minimum 1 year of experience with cloud monitoring setup and management
- Experience with managing 100% available clusters is a must
- Experience with configuration management tools
- Excellent verbal and written English communication skills
- Work autonomously/remotely in distributed team
- A self-starter with minimal supervision

**Interview process:**
1 tech call

**Type of work:**
Part-time, remote, 1-3 months.