Note: The job is a remote job and is open to candidates in USA. Yorkshire Global Solutions Inc. is hiring a Site Reliability Engineer to design, build, and maintain highly available, scalable, secure, and reliable applications and infrastructure. The role focuses on cloud infrastructure, automation, observability, incident management, production support, and improving system reliability across production environments.
Responsibilities
- Design, implement, and maintain highly available and scalable production systems
- Monitor application and infrastructure health, performance, availability, and capacity
- Develop automation and tooling to eliminate repetitive operational tasks
- Build and maintain CI/CD pipelines and deployment automation
- Manage and support cloud infrastructure across AWS, Azure, or GCP environments
- Implement and maintain monitoring, logging, alerting, and observability solutions
- Participate in production incident response, troubleshooting, root cause analysis, and post-incident reviews
- Define and monitor Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs)
- Improve system reliability, performance, scalability, and fault tolerance
- Work with development teams to improve application architecture and production readiness
- Implement infrastructure as code using tools such as Terraform or CloudFormation
- Support containerized and orchestration platforms such as Docker and Kubernetes
- Develop scripts and automation using Python, Bash, or similar programming languages
- Identify system bottlenecks and proactively address reliability and performance issues
- Establish and improve disaster recovery, backup, and business continuity practices
- Participate in on-call rotations and provide production support when required
- Mentor junior engineers and contribute to reliability engineering standards and best practices
- Support monitoring, alerting, and production troubleshooting
- Assist with CI/CD pipeline maintenance and deployment activities
- Learn cloud infrastructure, Kubernetes, and automation tools
- Develop basic scripts to automate repetitive operational tasks
- Participate in incident response and post-incident activities under guidance
- Independently manage production systems and reliability improvements
- Build automation for infrastructure and operational processes
- Maintain monitoring, logging, alerting, and observability solutions
- Participate actively in incident response and root cause analysis
- Work with development teams to improve application reliability
- Lead reliability initiatives for complex distributed systems
- Define and improve SLIs, SLOs, SLAs, and error budgets
- Design scalable and highly available cloud architectures
- Lead major incident response and root cause analysis
- Drive Kubernetes, cloud, infrastructure automation, and observability best practices
- Mentor junior SREs and influence engineering teams on reliability standards
- Define enterprise-wide SRE and reliability engineering strategy
- Establish reliability standards across platforms and engineering organizations
- Lead large-scale cloud, Kubernetes, observability, and automation initiatives
- Drive improvements in availability, scalability, performance, and disaster recovery
- Introduce new reliability engineering tools, practices, and methodologies
- Influence architecture and engineering decisions across the organization
Skills
- • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
- • 5+ years of experience in Site Reliability Engineering, DevOps, Cloud Engineering, Infrastructure Engineering, or a related discipline
- • Strong experience with cloud platforms such as AWS, Azure, or GCP
- • Proficiency with Linux/Unix environments and system administration
- • Strong experience with Kubernetes and Docker
- • Experience with Infrastructure as Code tools such as Terraform or CloudFormation
- • Experience building and managing CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar tools
- • Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, Splunk, or CloudWatch
- • Strong scripting/programming experience with Python, Bash, or similar languages
- • Experience with distributed systems, microservices, APIs, and cloud-native architectures
- • Strong understanding of networking, DNS, TCP/IP, load balancing, and security fundamentals
- • Experience with incident management, root cause analysis, and production troubleshooting
- • Familiarity with SRE principles, SLIs, SLOs, SLAs, error budgets, and reliability engineering practices
- • Strong analytical, troubleshooting, communication, and problem-solving skills
- • Desired: Experience with service mesh, GitOps, chaos engineering, and automated disaster recovery
Benefits
- Remote work arrangement
- W2 employment
- Full-time employment
Company Overview