Site Reliability Engineer (Python Go Kubernetes Cloud)

As a Cloud Infrastructure/Site Reliability Engineer you will be operating at the intersection of development and operations. Your role will involve engaging in and enhancing the lifecycle of cloud services - from design through deployment operation and refinement. You will be responsible for maintaining these services by measuring and monitoring their availability latency and overall system health by using automated methods.

You will play a crucial role in sustainably scaling systems through automation and driving changes that improve reliability and velocity. As part of your responsibilities you will manage (deploy/maintain/innovate) cloud infrastructure and software components that runs our PaaS/IaaS offering used by internal engineering teams and customers.
Due to the critical nature of the services we support this position involves participation in a rotation-based on-call schedule as part of our global team. This role offers the opportunity to work in a dynamic global environment ensuring the smooth operation of vital cloud services. To be successful in this role you should be a motivated self-starter and self-learner possess strong problem-solving skills and be someone who embraces challenges.

Analysis and Infrastructure Maintenance: Continuously monitor analyze and measure system health availability and latency using tools like Prometheus Grafana and several custom internal tools.
Automation and Efficiency: Candidate should have strong skills in automating tasks and improving efficiency of the team. The candidate must exhibit an automation-first mindset to develop scalable repeatable idempotent solutions via automation.
Incident Response and Troubleshooting: Address and perform root cause analysis (RCA) of complex live production incidents and cross-platform issues involving software components OS Networking and Database in cloud-based SaaS/IaaS environments. Implement SRE best practices for effective resolution.
Develop strategies to enhance system and application performance availability and addition maintain and monitor the deployment and orchestration of servers containers databases and general backend infrastructure.
Document system knowledge as you acquire it create runbooks and ensure critical system information is readily accessible.
Security Management: Stay updated with security protocols and proactively identify diagnose and resolve complex security issues.
Issue Tracking and Resolution: Use Atlassian Jira and Azure DevOps suite to track and resolve issues based on their priority.
Team Collaboration and Influence: Work in tandem with other Cloud Infrastructure Engineers and developers to ensure maximum performance reliability and automation of our deployments and infrastructure. Additionally consult and influence developers on new feature development and software architecture to ensure scalability.
Debugging Troubleshooting and Advanced Support: Undertake debugging and troubleshooting of service bottlenecks throughout the entire software stack.
Demonstrated experience in scripting and infrastructure automation using tools such as PowerShell Python Go.
Deep working knowledge of Containers Kubernetes and Serverless computing implementation.
Must have solid understanding of DevOps methodologies. Experience in Azure DevOps is a plus.
Experience in any of the cloud platforms such as Azure AWS or Google Cloud is mandatory. Azure is preferred.
This role requires working Wednesday through Sunday with Monday and Tuesday off each week.

A minimum of 5- 8 years of experience is required.
A Bachelor of Science Degree in Computer Science a masters degree; or equivalent experience is required.