Site Reliability Engineer

Pioneering the next global information economy by transforming digital content valuation using Economic AI.
Site Reliability
Senior Software Engineer
In-Person
5+ years of experience
AI

Description For Site Reliability Engineer

Zzazz Inc is at the forefront of revolutionizing the global information economy through their innovative Economic AI technology. As a Site Reliability Engineer, you'll play a crucial role in maintaining and optimizing the infrastructure that powers their AI-driven content valuation platform.

The position offers an opportunity to work with cutting-edge technology in a company that's reshaping how digital content is valued and experienced worldwide. You'll be responsible for ensuring system reliability, implementing automation, and maintaining high-performance infrastructure.

The ideal candidate will bring 5+ years of experience in site reliability engineering, with strong expertise in cloud platforms, automation tools, and monitoring systems. You'll work with modern technologies including Terraform, Ansible, and various cloud platforms (AWS, GCP, Azure), while collaborating with development teams to optimize system architecture.

This role is perfect for someone who combines technical expertise with problem-solving skills and has a passion for building reliable, scalable systems. You'll be joining a team of innovators who are pushing the boundaries of AI and economics to create meaningful global impact. The position is based in Bangalore, offering the opportunity to work directly with a team of talented engineers in a dynamic, fast-paced environment.

If you're excited about the intersection of AI, economics, and infrastructure engineering, and want to be part of a company that's transforming how digital content is valued across industries, this role at Zzazz presents an excellent opportunity to make a significant impact.

Last updated 31 minutes ago

Responsibilities For Site Reliability Engineer

  • Ensure the reliability, availability, and performance of our systems and services
  • Automate and streamline operations and processes
  • Monitor system health, identify bottlenecks, and proactively address potential issues
  • Collaborate with development teams to optimize system architecture
  • Conduct post-incident reviews and implement improvements
  • Develop and maintain infrastructure as code using tools like Terraform and Ansible

Requirements For Site Reliability Engineer

Python
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Expertise in cloud platforms (AWS, GCP, Azure)
  • Strong experience with automation tools (Terraform, Ansible, Jenkins)
  • Proficiency in scripting languages (Python, Bash)
  • Solid understanding of CI/CD pipelines and monitoring tools (Prometheus, Grafana)
  • Excellent problem-solving skills and attention to detail
  • 5+ years of experience in a similar role, with a focus on site reliability

Interested in this job?

Jobs Related To Zzazz Inc Site Reliability Engineer

Senior Software Developer, Site Reliability Engineering, Google Cloud

Senior Site Reliability Engineer role at Google Cloud, focusing on building and maintaining large-scale distributed systems with competitive compensation and benefits.

Senior Software Engineer, Site Reliability Engineering

Senior SRE position at Google focusing on building and maintaining large-scale distributed systems for Google Cloud services, requiring 5 years of software development experience.

Senior Software Engineer, Site Reliability Engineering, Google Cloud

Senior SRE position at Google Cloud focusing on building and maintaining large-scale distributed systems with emphasis on reliability and automation.

Senior Software Engineer, Site Reliability Engineering

Senior SRE position at Google focusing on building and maintaining large-scale distributed systems for Google Cloud services.

Senior Software Engineer, Site Reliability Engineering, Google Cloud

Senior SRE position at Google Cloud focusing on building and maintaining large-scale distributed systems with emphasis on reliability, automation, and system optimization.