DevOps Engineer - Hybrid Alabang - 100-130K

We are looking for DevOps Engineer for our client located in Alabang

Salary: Up to 130K

Set-up: Hybrid

Key skills: Kubernetes, docker and helm

As a DevOps you will develop CI/CD pipelines to manage test, build process and deployment in multiple environment and systems. You will be also in charge of handle complex and distributed enterprise systems bases on HCL 9.1 installed in cloud Kubernetes cluster.
You will be required to:
·
Design, maintain and evolve architectures and automation for zero-downtime deployments.
·Work with Docker and Kubernetes to scale and monitor microservices.
·Use tools like Helm and Gitlab CI to automate deployments.
·Work with our development teams to help them set up automation pipelines and solve problems.
·Collaborate with other DevOps engineers to make the best solution possible.
·Build geo-distributed infrastructure
·Participate in an on-call schedule and act in a server/technical support capacity to the team.
.APM tools configuration (New Relic, Dynatrace, )
·Logging aggregator knowledge like ELK or Splunk
·Performance monitoring across all app stack (DB, WebApp, Cache, CDN).
·Able to design and implementing performance test
·Akamai CDN basic knowledge (Kona, Image Manager)

Goals and deliverables
Required Skills:
·Proven experience in deploying distribute high trafficked web application/services
·Proficient in Kubernetes, helmcharts templating, Docker and Docker composer
·Working knowledge of Azure cloud services in IaaS, PaaS, and coming trends in the Cloud space
·Experience in installing enterprise platforms, HCL 9.1 installation and management knowledge is a plus
·Confident configuring CD/CI pipeline based on Agile tools and methodologies (Jira, GitLab, Confluence) in a cloud based (Azure, AWS, GCP) environment
·Proficient with relational database configuration and maintenance (Oracle, Postgres, MySql)
·Familiar with Search Engines (SOLR, Elastic Search)
·Unix SO, shell scripting & make files
·Knowledge of Network configuration cloud environment (Azure AWS, GCP)