Staff Specialist IT - Site Reliability Engineer

In your new role you will:
 

• Design, develop, and maintain large-scale distributed systems, focusing on reliability, scalability, and performance.
• Collaborate with development teams to identify and prioritize system improvements, and develop solutions to meet business needs.
• Develop and implement automation tools and processes to improve efficiency, reduce downtime, and enhance system reliability.
• Monitor and troubleshoot system issues, identifying root causes and implementing fixes.
• Develop and maintain technical documentation, including system design documents, operational guides, and knowledge base articles.
• Participate in on-call rotations, providing 24/7 support for our systems and infrastructure.
• Collaborate with cross-functional teams to ensure seamless integration of systems and services.
• Stay up-to-date with industry trends, best practices, and emerging technologies, applying this knowledge to improve our systems and processes.

Your Profile
You are best equipped for this task if you have:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in a similar role, with a focus on system Reliability, scalability, and performance.
• Strong programming skills in languages such as Python, Java, C++, or Go.
• Experience with cloud-based infrastructure, such as AWS, GCP, or Azure.
• In-depth knowledge of Linux/Unix operating systems, networking protocols, and distributed systems.
• Experience with automation tools such as Ansible, Puppet, or Chef.
• Strong understanding of monitoring and logging tools, such as Prometheus, Grafana, or ELK.
• Excellent problem-solving skills, with the ability to debug complex issues.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Experience with agile development methodologies and version control systems such as Git.

Nice to Have:

• Experience with containerization using Docker, Kubernetes, or similar technologies.
• Knowledge of security best practices and compliance frameworks such as HIPAA or PCI-DSS.
• Experience with machine learning or artificial intelligence applications.
• Certification in a relevant field, such as AWS Certified DevOps Engineer or Google Cloud Certified - Professional Cloud Developer.