Software Site Reliability Engineer II (Remote/Hybrid PST)

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Job Overview

The Software Site Reliability Engineer II at iTalent Digital is responsible for ensuring the uptime, performance, and reliability of our applications in a distributed cloud environment. This role involves implementing best practices for software engineering, fostering a culture of operational excellence, and collaborating closely with development teams to enhance system performance. The ideal candidate will actively manage incidents, facilitate service improvements, and contribute to automation efforts aimed at enhancing reliability and efficiency in our operational processes.

Job Responsibilities

• Monitor and maintain system uptime to ensure reliable service delivery.
• Develop and implement automation tools to improve operational efficiency.
• Collaborate with development teams to discuss and drive service improvement initiatives.
• Diagnose and resolve incidents while participating in postmortems and implementing lessons learned.
• Analyze system performance metrics, providing actionable insights to enhance the reliability of the platform.
• Contribute to documentation of processes and systems to maintain knowledge sharing.
• Participate in on-call rotation to provide timely responses to production issues.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of 3 years of experience in a Site Reliability Engineer or similar role.
• Strong proficiency in scripting languages (Python, Bash, etc.) for automation.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of containerization tools like Docker and orchestration technologies like Kubernetes.
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
• Effective communication skills and ability to work collaboratively across teams.

Technologies & Tools

The Software Site Reliability Engineer II will work with a range of technologies and tools crucial for monitoring, automation, and performance analytics. This includes cloud services such as Amazon Web Services (AWS) and Google Cloud Platform (GCP), containerization tools like Docker, orchestration frameworks such as Kubernetes, and monitoring solutions including Prometheus and Grafana. Familiarity with CI/CD pipelines and infrastructure-as-code tools like Terraform will also be advantageous in this role.

Ideal Candidates

Ideal candidates for this role possess a strong analytical mindset and problem-solving skills, enabling them to navigate complex systems and troubleshoot effectively. They exhibit a proactive attitude towards identifying risks and delivering solutions that enhance system reliability. A commitment to continuous learning and staying updated on industry best practices is crucial. Moreover, candidates should thrive in collaborative environments, engage positively with team members, and contribute to a culture of shared responsibility in maintaining system availability and performance.