Position: SRE Senior DevOps
Company: QuickStaffing
Category: DevOps
Experience required: 5y
English level: upper

Resposibilities: 
· Run multiple production environment by monitoring availability and taking a holistic view of system health

· Act as escalation tier in case of complicated incidents in cloud environments

· Measure and optimize system performance and availability, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement

· Provide primary operational support and engineering for multiple large-scale distributed cloud environments

· Gather and analyze cloud application and infra including logs and metrics from cloud services to assist in performance tuning and fault finding

· Participate in system design consulting, platform management, and capacity planning

· Create sustainable systems and services through automation and uplifts

Requirements:
Bachelor’s degree (or equivalent) in computer science or related discipline
AWS Cloud Solution Architecture certifications
Vast experience with cloud production system opertation and maintenance
Vast experience with AWS services including ECS, EKS, EC2, ALB, RDS
Vast experience with infrastructure as a code (Terraform/CloudFromation)
Experience with operating and using CI/CD environments and processes (Jenkins/GIT)
Ability to program using one or more high-level languages, such as Perl, Python, Bash.
Experience with Microsoft: ADDS, DNS, DHCP, GPO, Windows Servers , Web Servers
Linux: Full Knowledge FHS – Mainly using Centos. Ubuntu and similar
Monitoring Systems Implementation and maintenance (Datadog, NewRelic, http://Logz.io , Prometheus) - Advantage
Experience with managing and building cloud-based systems (Azure / AWS) EC2, ELB, VPC, EBS, S3, S3 Glacier, ELB, RDS, VPC
Database infrastructure: Postgres, MSSQL - Advantage
Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3, as well as dynamic resource management frameworks (Apache , Kubernetes)
Proactive approach to identifying problems, performance bottlenecks, and areas for improvement.
Server-side operations and troubleshooting tasks that support business-critical and development Cloud IT infrastructure.