Site Reliability Engineer

Job Description :

• Engage with our product teams to understand requirements, design, and implement resilient and scalable infrastructure solutions
• Operate, monitor, and triage all aspects of our production and non-production environments
• Collaborate with other engineers on code, infrastructure, design reviews, and process enhancements.
• Evaluate and integrate new technologies to improve system reliability, security, and performance
• Develop and implement automation to provision, configure, deploy, and monitor Apple services
• Participate in an on-call rotation providing hands-on technical expertise during service-impacting events
• Design, build, and maintain highly available and scalable infrastructure
• Implement and improve monitoring, alerting, and incident response systems
• Automate operations tasks and develop efficient workflows
• Conduct system performance analysis and optimization
• Collaborate with development teams to ensure smooth deployment and release processes
• Implement and maintain security best practices and compliance standards
• Troubleshoot and resolve system and application issues
• Participate in capacity planning and scaling efforts
• Stay up-to-date with the latest trends, technologies, and advancements in SRE practices
• Contribute to capacity planning, scale testing, and disaster recovery exercises.
• Approach operational problems with a software engineering mindset
• BS degree in computer science or equivalent field with 5+ years of experience
• 5+ years in an Infrastructure Ops, Site Reliability Engineering, or DevOps-focused role.
• Knowledge of Linux operating system principles, networking fundamentals, and systems management.
• Demonstrable fluency in at least one of the following languages : Java, Python, or Go
• Experience managing and scaling distributed systems in a public, private, or hybrid cloud environment
• Develop and implement automation tools and apply best practices for system reliability.
• You will be responsible for the availability & scalability of our services and manage the disaster recovery and other operational tasks.
• Collaborate with the development team to improve application codebase for logging, metrics and traces for observability.
• Collaborate with data science teams and other business units to design, build and maintain the infrastructure that runs machine learning and generative AI workloads.
• Influence architectural decisions with focus on security, scalability and performance.
• Find and fix problems in production, and work to avoid them from happening again

Preferred Qualifications :

(ref : hirist.tech)