Position Summary
Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.
We are looking for a Cloud DevOps Engineer who can help build and maintain our state-of-the-art cloud SaaS environment where multiple teams and partners can work together to deliver the best experience for our customers. You will join a team of highly skilled engineers to successfully build and operate our next generation CIAM Cloud offering.
Essential Functions / Key Areas of Responsibility
Support and troubleshoot all applications to ensure our cloud services are optimized for performance and reliability.
Implement Automation and pipeline codes in a timely fashion and with high quality, consistent with standards for the Group.
Write infrastructure as code (Terraform, Helm charts) and review code from colleagues with valuable feedback for multiple cloud services (AWS & GCP).
Implement AI concepts and tools for daily operational work. Improve productivity with AI.
Test and Deploy software/applications updates, new features and hotfixes using various CI/CD tools like (Helm charts, Ansible, GitLab pipelines, terraforms) across multiple cloud services AWS & GCP.
Analyze product requirements and identify the best solution, technology, and tools.
Forecast, inform risk/concern on task, team, or project level, and propose mitigation plans.
Provide technical solutions, support, and perform several activities for a new or customized database of products/components used in the project which includes but is not limited to database design, installation, upgrade, migration, backup, recovery, failover, HA, hardening, monitoring, etc.
Orchestrate and optimize the database activities of several databases, schemas, and components in one project or solution.
Manage and improve system/network configuration and monitoring by using pipelines.
Strategize and plan for data migration and develop data migration scripts if required by the project.
Support, investigate and propose solutions/workarounds for production issues related to the databases.
Provide documentation as appropriate including design documentation, comments in code, and end-user documentation.
Provide input to improve the scalability and reliability of infrastructure to our Automation Architects.
Participate in the on-call schedule & Provide L2/L3 Support to our Services desk and R&D teams.
Document all build and run procedures when implementing new automation technologies.
Perform knowledge sharing with colleagues (training sessions, confluence documentation, Slack, etc)
Socialize designs with teams and integrate suggestions and changes as appropriate.
Act with agility by implementing security best practices and by being cost conscious.
Skills, Experience, Education, Technical/Specialized Knowledge, Certifications, Language
3+ years’ experience in deploying and supporting web-based applications.
Previous work experiences with DevOps and SRE methodologies.
3+ years must have experience with orchestration and Automations tools (Helm charts, Ansible, Terraforms, Yaml, Python,Json) and Cloud Services.
Experiences with AI (Artificial Intelligence) and familiar with AI related tools and terminology.
Have worked with Github/Gitlab and understand the pros and cons to CI/CD.
Understanding of operational concepts like change management, on call rotations, escalations, uptime, etc.
Experience in managing production systems on a very large scale.
3+ years’ must have extensive experience working with Kubernetes Orchestration.
Experience working with DB’s: MySQL, Postgres, Mongo, Elastic Cloud, etc.
5+ years’ experience with cloud and server architecture and with REST APIs, microservices development and deployment.
Adhere to security best practices from design to implementation and operations.
Experience with PaaS technologies (K8s, Open Shift, etc.).
Experience with building pipelines for Infrastructure as a code (IaC) using Terraforms.
Experiences with scripting (Bash, Python).
3+ years` must have experience on AWS or GCP cloud services.
Ability to work in geographically distributed international company.
Strong analytical skills and eager to learn new technologies.
Excellent communication skills across multiple mediums.
Able to work and collaborate with different stakeholders and teams.
Preferred Qualifications
Computer or Electronic Science Engineer/ Bachelor degree or higher
Professional Knowledge
Crisis management
Risk management
Project management
Incident \ Problem Management
Availability & Business Continuity Management
SLA management
Oral presentation
Documentation/Mail writing
Processes
ITIL/COBIT
Quality Assurance process (Best practices)
Tools
Jira
Confluence
Slack, Office apps
DataDog
Language
Operational English
Interpersonal skills
Consistency/Exactitude
Accountability
Communication ability
Result-oriented
Working under pressure
Team player
Interested?
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