About the role

We are a team of software engineers focused on improving reliability, availability, latency, performance, efficiency, monitoring, emergency response, and capacity planning of the engineering stacks. If you are passionate about solving complex problems and developing cloud services at scale, we would like to speak with you.

As a SRE, you will be writing software to solve operational problems and drive cutting edge reliability and observability practices. Your expertise will also extend to setting up and maintaining monitoring, logging, and alerting systems to oversee extensive training runs and client-facing APIs. You will ensure that training environments are optimally available and efficiently managed across multiple clusters, enhancing our containerization and orchestration systems with advanced tools like Docker and Kubernetes.

• Partner closely with service owners and engineers to develop reliable services driven by best practices
• Develop software and tools to solve a variety of problems across service and infrastructure 
• Set up and manage monitoring, logging, and alerting systems for extensive training runs and client-facing APIs.
• Ensure training environments are consistently available and prepared across multiple clusters.
• Develop and manage containerization and orchestration systems utilizing tools such as Docker and Kubernetes.
• Improve reliability, quality, and time-to-market of our suite of software solutions
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement
• Provide primary operational support and engineering for multiple large-scale distributed software applications
  
  

Is this you?

• Someone who works with a sense of ownership
• Takes pride in building and operating scalable, reliable, secure systems
• Are comfortable with ambiguity and change
• You have a knack for troubleshooting complex systems and enjoy solving challenging problems
• Proactive in identifying problems, performance bottlenecks, and areas for improvement
• Has experience in working and collaborating with teams based across different geographies and time zones

 

Preferred skills and experience:

• Software programming experience in any programming language
• Good understanding of principles of distributed systems
• Deep understanding of Kubernetes and Docker
• Understanding of data technologies like Kafka, Yugabyte, Redis etc
• Good understanding of AWS ecosystem
• Basic understanding of networking
• Exposure to Infrastructure as code tools like Terraform
• Familiar with monitoring tools such as Prometheus, Grafana, or similar
• 8+ years building core infrastructure

 

Nice to have experience

• Experience in operating and monitoring services communicating across AWS and private clouds
• Experience operating Kubernetes at scale

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