lead devops engineer for a global company

DevOps.DataLinux, Windows, SQL, Ansible, Perl, Python.Core, Unix, PHP, Jira

China

Sorry, the job is expired

Lead DevOps Engineer for a Global Company

Expired job

Currently, we are looking for a Remote Lead DevOps Engineer.

Our customer is a global company that provides information, software and services. Its customers are legal, business, tax, accounting, finance, audit, risk, compliance and healthcare professionals. You will be working together with a small, down-to-earth team with high standards and competent members.

responsibilities

Act as part of Architectural Team which consists of Solution and Systems Architects from customer's side
Develop new approaches in automation of Code and Configuration delivery, Orchestration and Provisioning of all kinds of environments including Dev and Production
Consult developers and operations in AWS cloud
Develop the DevSecOps approach, implement it in delivery pipelines and environment provisioning templates for security hardening and security reporting (so product owners can get security reports of all their environments and their system vulnerabilities)
Contribute to migration from on-premises environments to cloud projects
Contribute to customer-wide technology renovation projects, research new technologies and tools; help stakeholders develop next generation of products
Help other engineers (including customer employees) in understanding cloud computing concepts

requirements

5+ years experience in a Systems Engineer/Systems Administrator position operating and producing systems design specifications for Linux and Windows-based platforms, MS SQL and MySQL or PostgreSQL databases, NoSQL would be a plus
2+ years’ experience in writing scripts/templates for cloud infrastructure automation, configuration management and application deployments (e.g. AWS CloudFormation or Azure Resource Groups, Puppet, Chef or Ansible)
2+ years’ hands-on experience with automation toolset
2+ years’ experience in design and implementation of Cloud-based systems (Azure and/or AWS) including use of advanced Cloud services (e.g. load balancing, gateways, networking, high availability, disaster recovery systems in the cloud and security)
1+ year of experience with logging technologies (e.g. ELK, file beat)
Programming background in one or more of the following: Perl, Python, HTML5, Unix Shell scripts and/or PowerShell
Documentation skills: technical implementation, process/workflows and diagrams
Cloud security experience using AWS: IAM and Directory Service, config, Security Groups, VPC's, Subnets and VPN IPsec Site2Site and the equivalent services in Azure
General Security knowledge for the next: Linux (SELinux) and Windows security, Middleware (Apache, PHP, Tomcat, JBoss and Fuse), and java applications (Security side)
General knowledge for WAF, DDoS and Penetration test tools
Experience working with tools for log analysis and alert triggering; connecting them to different monitoring tools (ELK, AWS CloudWatch, Azure OMS and SCOM)
Clear understanding in DevOps philosophy, infrastructure as a code and the application automation part, general understanding of agile and scrum
Working knowledge of GIT, Bitbucket, AWS ECR, Nexus revision/source code management systems
Working in ticket-drive workflow environments, e.g. Jira, Service Desk Plus, ServiceNow, etc.
Experience with wiki-based and document-based collaboration and common toolsets, like Atlassian tools and SharePoint
Experience with wiki-based and document-based collaboration and common toolsets, like Atlassian tools and SharePoint
Proactive attitude, willingness to learn and ability to listen opinions from different team members
Excellent verbal and written English (B2+)

nice to have

AWS certifications desirable
RedHat or any Linux certification is desirable
Microsoft (MCITP, MCSE) and VMWare certifications desirable
VMWare cloud infrastructure

technologies

AWS RDS (MySQL)
AWS DynamoDB
AWS services: EC2,  CodePipeline, CodeBuild, CodeDeploy, ECS, ECR, Route53, VPC, RDS,  CloudFormation, S3, Cloud Trail, Cloud Watch, etc
Provisioning: Puppet, AWS CodePipeline, Jenkins
Scripting: Bash; Python
Planning/management, Documentation: Jira, Confluence
Version Control Systems: BitBucket, GitHub
Continuous Integration/ Continuous Delivery
Cloud computing

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