Site Reliability Engineer
Insight
Bournemouth, UK
1 day 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
Tech stack
Java (Programming Language)
Amazon Web Services
Data Analysis
Microsoft Azure
Cloud Computing
Information Engineering
DevOps
Github
Reliability Engineering
Prometheus
Data Logging
Transaction Processing (Computing)
+10 more
Google Cloud
Cloud Platform System
Grafana
Spring-boot
Kubernetes
Data Analytics
Cloud Migration
Terraform
Splunk
Jenkins
Job description
- Reliability & Scalability: Design, implement, and maintain systems that are robust, scalable, and highly available, supporting millions of daily transactions.
- Cloud Migration: Lead and support migration of applications and infrastructure to public cloud platforms, ensuring best practices in security, reliability, and cost management.
- Automation & Infrastructure as Code: Develop and maintain automation scripts and infrastructure using Kubernetes and Terraform.
- Monitoring & Incident Response: Build and enhance monitoring, alerting, and observability solutions. Respond to incidents, perform root cause analysis, and drive continuous improvement.
- Collaboration: Partner with software engineers, product managers, and business stakeholders to deliver solutions that meet business needs and operational requirements.
- Analytics & Data Insights: Leverage cloud-based analytics tools to monitor system health, optimize performance, and extract actionable insights.
- Continuous Improvement: Identify and implement opportunities to improve reliability, efficiency, and scalability of the platform.
Requirements
- Proven experience as a Site Reliability Engineer, DevOps Engineer, or similar role supporting large-scale, mission-critical systems.
- Strong hands-on experience with Kubernetes and Terraform.
- Experience deploying and operating applications in public cloud environments (AWS, Azure, GCP).
- Solid understanding of Java and Spring Boot applications.
- Experience with monitoring, logging, and observability tools (Prometheus, Grafana, ELK, Splunk).
- Strong troubleshooting and problem-solving skills.
- Excellent communication and collaboration skills., * Experience in financial services or payments/transaction processing environments.
- Familiarity with cloud-based analytics platforms and data engineering concepts.
- Experience with CI/CD pipelines and automation tools (Jenkins, GitHub Actions).
- Knowledge of security best practices in cloud environments.
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