In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.
JOB OBJECTIVE
As DevOPS, you will participate in the different phases of Thales Digital Transformation Projects by ease deployment of Data Products.
ROLES & RESPONSIBILITIES
System skillset:
System Administration basic skillset (services, ssh, user management, apache / tomcat administration, …)
System Administration advanced skillset (IPtables, scripting, advanced kernel tuning, ...) -
DevOps tooling advanced skillset:
Using GIT
Using and administrating CICD tools
Deploying and setup of CICD
Infrastructure as code skillset:
IaC Testing (server spec, ansible tests)
Automate Azure resources provisioning with Terraform.
Automate deployment and configuration using Ansible.
Cloud skillset:
Azure (Mandatory)
GCP (Nice to Have)
Network basics:
LAN architecture (CIDR, vLAN, routing, NAT)
DNS and SSL (internal, external)
Load-balancing (VIP, DNS geo-loadbalancing, …)
Security:
Firewalling L4/L7
Understanding basic network security concepts: IDS/IPS, WAF, SOC, SIEM, PKI, TLS certs, CVE process …
Secret management
SSH administration
Authentication & Authorization Fundamentals (Oauth, OpenIDConnect,)
Build for the Run:
Deploy and administrate monitoring and alerting tooling.
Craft monitoring and alerting thresholds.
Deploy and administrate a log concentration tool.
Create custom Monitoring dashboard.
FinOps
Other useful skills:
Software architecture & System Design Fundamentals
API Fundamentals
Database administration basics (ex: SQL, clustering models, deployment architecture)
Containerization: cgroup & namespace, Docker, kubernetes , runC
Agile methodology and process understanding and experience.
QUALIFICATION, CERTIFICATION & EDUCATIONAL REQUIREMENTS
Tools: Gitlab, Azure DevOps, Azure, MS BI, Talend
Expertises: CI/CD notions, Data Modeling, Agile
Educational: In a master’s degree in computer science/statistics/mathematics fields
PREFERRED SKILLS
Fluency in English, both written and verbal.
Excellent communication and presentation skills.
Team work and willing to perform trough cooperation.
Strong attention to details.
Willingness for change and solving problem.
Be passionate about digital transformation.
Strong analytical mindset.
Data oriented.
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