Sr. DevOps Platform Engineer - Monitoring

Pune, India /
DevOps – DevOps /
Full-Time
/ On-site
At 8x8 Inc. [Nasdaq:EGHT] we put communications at the heart of our business and build technology that allows people to connect anytime, anywhere they are in the world, and on any device. XCaaS - the 8x8 eXperience Communications Platform - brings together Employee and Customer Experience, enabling hybrid workforces across the globe to connect, collaborate, and delight customers, while providing businesses with real-time communications analytics, intelligence and unique insights.

Learn more on our company website at www.8x8.com and follow our pages on LinkedIn, Twitter and Facebook.

Senior Observability Engineer

Location: Pune

We are looking for an observability engineer to join our team to help improve our platform’s reliability and foster a culture of observability based on metrics, logs, events and traces. You will have an opportunity to work with and support leading-edge technologies.
Responsibilities:
Operate infrastructure and supporting tools for the observability platform
Assist product teams in using observability tools for troubleshooting
Develop and drive automation for integrating with observability products
Ensure that product teams are using the correct standards for instrumenting their apps with metrics, logs and traces
Improve gathering, processing, and retention for metrics, logs, and traces
Collaborate with engineering and support teams to reduce mean times to detect, identify, escalate, and resolve incidents
Monitor and improve usage and cost of platform and tools

Qualifications:
• A customer-first mindset, both inside and outside of the company
• Curiosity for technologies and a self-teaching approach to development
• Responsible attitudes towards outcomes, user experience, and ownership
• Testing and maintaining your work throughout the development and production lifecycles

Must haves:
• Experience with observability platforms: NewRelic, Wavefront, etc.
Hands on experience and open-source tools like Prometheus, Grafana
• Proven experience with open-source or managed logging systems like ELK or Splunk
• Experience with several major cloud service providers like AWS, GCP, Azure, or OCI
• Familiarity with basic statistics and analyzing time-series data
• Comfortable working with git, Ansible, Terraform, Python, Docker, Kubernetes

Would be a plus:
• Experience automating cloud infrastructure, configuration, and deployments
• Experience with containers, either Docker or Kubernetes
• Experience troubleshooting production environments
• Familiarity with common databases: MySQL, Postgres, Elasticsearch











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