Senior CloudOps Engineer
Learnosity
- Ireland
- Senior Level
- 5+ years
- Posted
Skills
Required
- AWS
- RDS
- scripting
- maintaining large-scale legacy systems
- performing migrations
- GitHub Actions
- MariaDB
- PostgreSQL
- Git
- Linux
- iptables
- systemd
- EC2
- Python
- Docker
Preferred
- POSIX
- shell scripting
- awk
- sed
- grep
Join our global team as a Senior CloudOps Engineer and play a pivotal role in building and maintaining the infrastructure that powers our innovative AI-first assessment solutions. This hybrid role combines building and developing solutions to improve the platform, as well as supporting and maintaining the live system. You will be responsible for optimizing system performance, troubleshooting complex issues, and implementing proactive monitoring solutions. Additionally, you will collaborate with cross-functional teams to ensure seamless integration and delivery of our products.
Construire, maintenir et améliorer une infrastructure cloud moderne, hautement disponible, évolutive et sécurisée sur AWS pour soutenir les produits alimentés par l'IA.
Responsibilities
- Automatiser les déploiements d'infrastructure et les tâches opérationnelles pour améliorer l'efficacité et la fiabilité.
- Collaborer avec des équipes interfonctionnelles pour garantir une intégration et une livraison sans faille de nos produits.
- Proficiency in POSIX shell scripting, including skills in using awk, sed, grep, etc
Requirements
- Experience maintaining large-scale legacy systems and performing migrations
Experienced using GitHub Actions and Workflows
- Experience with large-scale databases and database administration, ideally MariaDB & PostgreSQL on Amazon RDS
- Experienced with metrics/monitoring systems, ideally Datadog and CloudWatch
Strong version control skills using Git
- Advanced Linux skills including iptables, systemd, logging, application management, diagnosis, sysctl tweaking, etc
- Strong experience with AWS services including EC2, ALB/NLB, VPCs, IAM, RDS, ECS, Route53, and CloudFront
- Cloud Operations
Experience working in a global, distributed team environment
- Strong proficiency in Python for scripting and automation tasks
- Highly experienced with Docker and containerised applications and systems
Platform Engineering
- A proven track record of 5+ years managing large-scale production systems
- Experience in optimising database performance and resolving performance issues
- Strong networking background, including understanding of TCP/IP and routing protocols
- At least 3+ years of experience developing solutions and improvements for large-scale systems
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