Service Reliability Engineer

Role Overview

• Ensure the reliability, availability, and performance of key Business Applications, IT services and infrastructure by monitoring system health and identifying potential risks.
• Implement proactive measures, such as performance tuning and capacity planning, to avoid service disruptions.
• Maintain and improve service-level objectives (SLOs) and service-level agreements (SLAs) across systems and services.
• Monitor and respond to incidents, troubleshooting issues across the entire stack (network, systems, software, applications).
• Conduct root cause analysis (RCA) of system failures and recommend or implement long-term solutions to prevent recurrence.
• Participate in on-call rotations, ensuring timely resolution of incidents and minimizing downtime.
• Collaborate with development and operations teams to improve system observability and alerting through monitoring tools.
• Contribute to the design and implementation of scalable, highly available, and fault-tolerant architectures for distributed systems.
• Manage cloud infrastructure and services (Azure, AWS, or Google Cloud) to ensure efficient resource utilization and scalability.
• Work with security teams to implement best practices for security hardening, encryption, and compliance in production environments.
• Implement comprehensive monitoring, logging, and alerting systems using tools such as Dynatrace, Prometheus, Grafana, Datadog, or Splunk.
• Create and maintain dashboards that provide real-time insights into system performance, availability, and key reliability metrics.
• Periodically perform SRE manual and automated operations to ensure proper performance of corporate enterprise applications and systems.

Requirements

• EDUCATION: Bachelor's degree in Computer Science, Information Technology, or related field, required.
• CERTIFICATIONS: Certification in cloud platforms (e.g., Microsoft Azure Administrator), preferred.
• A minimum of 7 years of experience as a Service Reliability Engineer, DevOps Engineer, or Systems Engineer, with hands-on exposure to networking, systems, and software development, required.
• Strong experience with cloud platforms (e.g., Azure, AWS, or Google Cloud), including experience managing cloud-based services and infrastructure, required.
• Experience with scripting or programming languages (e.g., Powershell, Python, Go, Bash, Java) for automation and tooling required.
• Experience with monitoring and observability tools (e.g., Dynatrace, Prometheus, Grafana, Datadog, Splunk) required.
• Hands-on experience with CI/CD pipelines and version control (e.g. ADO, Git, GitLab CI) required.
• Experience with database management and optimization, including relational databases (SQL) and NoSQL databases (e.g., COSMOS, MongoDB) preferred.
• Experience working in Agile development environments, with familiarity in tools like Microsoft ADO & Teams or Confluence preferred.
• Proficiency with automation and configuration management tools (e.g., Ansible, Terraform, Puppet, Chef) required.
• Solid understanding of networking protocols (TCP/IP, DNS, HTTP/HTTPS, SSL/TLS) and troubleshooting network-related issues required.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes required.
• Knowledge of distributed systems, microservices architecture, and challenges related to these, such as consistency, fault tolerance, and distributed logging, preferred.
• Exposure to site reliability engineering best practices, such as chaos engineering and blameless post-mortems preferred.

Tech Stack

• Ansible
• AWS
• Azure
• Chef
• Cloud
• Distributed Systems
• DNS
• Docker
• Grafana
• Java
• Kubernetes
• Microservices
• MongoDB
• NoSQL
• Prometheus
• Puppet
• Python
• Splunk
• SQL
• TCP/IP
• Terraform
• Go