Senior Site Reliability Engineer - AWS Kubernetes

Source Technology

London, UK

11 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Amazon Web Services Microsoft Azure Bash Shell Cloud Computing Cloud Storage Continuous Integration DevOps Disaster Recovery File Systems Domain Name System (DNS) HAProxy Monitoring of Systems

+36 more

Hyper-V Networking Hardware Python (Programming Language) Network Security Network Troubleshooting Network Configuration and Change Management NetFlow Network Forensics Network Monitoring Routing Packet Analyzer Network Protocols Nginx Performance Tuning Reliability Engineering Prometheus Simple Network Management Protocols Wireshark Backup and Restore Scripting Google Cloud Load Balancing Cloud Monitoring Istio Grafana Firewalls (Computer Science) Cloudformation Containerization Kubernetes Linkerd (Service Mesh) Cloudwatch Terraform Splunk AWS EKS Docker Vmware

Job description

A truly unique opportunity to help launch a brand new team within a global financial services provider. This new team of highly skilled Full Stack Infrastructure Engineers will cover Compute, Storage, Network and Cloud technologies. You will help design, implement, and manage robust infrastructure solutions, ensuring reliability, scalability, and performance.

Requirements

Proven experience managing and optimizing a diverse infrastructure stack.
Extensive knowledge of cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, CloudFormation).
Familiarity of service mesh technologies (Istio, Linkerd).
Solid understanding of virtualization (VMware, Hyper-V) and containerization (Docker, Kubernetes) and orchestration.
Understanding of storage solutions (SAN, NAS, cloud storage) and backup systems.
Strong understanding of network protocols, routing, switching, and firewalls. * Experience with load balancers (F5, HAProxy, Nginx) and network monitoring tools.
Experience in DNS management and troubleshooting.
Experience in network security best practices.
Proficiency in monitoring and observability tools (Prometheus, Grafana, Splunk).
Proficiency in at least one scripting language (Python, Bash) for automation.
Experience with CI/CD pipeline management and DevOps practices.
Strong understanding of disaster recovery and business continuity planning.
Experience with performance tuning and capacity planning.
Understanding of chaos engineering principles and practices.
Skills in cost optimization for cloud infrastructure.

Specific Tools and Techniques:

Experience in using cloud native monitoring tools like AWS CloudWatch, Azure Monitor, and Google Cloud Operations Suite.
Experience with packet capture tools like Wireshark for troubleshooting network issues.
Experience in using traceroute utilities and performance analysis tools like perf for identifying and resolving bottlenecks.
Familiarity with tools such as ipconfig/ifconfig for viewing network configurations, flushing DNS, and diagnosing network issues.
Experience with SNMP-based tools for network device monitoring and performance management.
Experience in using NetFlow for network traffic analysis.
Experience with tools like iostat, vmstat, and dstat for monitoring storage and system performance.
Experience in tools like df, du, lsblk, and fdisk for managing and troubleshooting file systems and disk partitions.
Familiarity with tools like Prometheus and Grafana for monitoring and observability