Senior Site Reliability Engineer - Platform Reliability (Resilience)

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter.

What is The Role

As part of the Platform Engineering department, the SRE team is designing, building, scaling and maturing the multi-cloud platform for hosting internal and external services such as the Elastic Cloud Hosted and Serverless. We develop and extend new software and tools that support the rest of the infrastructure, so that we can rapidly deploy products from all corners of Elastic.

What You Will Be Doing

• Taking an engineering approach in leading technical initiatives for automating system engineering efforts to guarantee the reliability of the global Elastic infrastructure.
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, tooling and automations.
• Using an inclusive approach at championing an environment focused on collaboration, operational excellence, and uplifting others.
• Responding to and preventing repeated customer impact in response to major incidents and prioritised problem management using a follow-the-sun on-call model.

What You Bring

• Experience striving for 'progress not perfection' in platform reliability with a customer-first approach.
• A background in software engineering to collaborate with engineers to expertly identify, implement and deliver solutions (experience in public cloud and managed Kubernetes services is advantageous).
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships.

Bonus Points

• Operated a SaaS product in a public cloud built using Infrastructure-as-Code tooling such as Crossplane or Terraform.
• Built or operated a Kubernetes-at-scale infrastructure across multiple cloud providers.
• Written non-trivial programs in Golang or other programming languages.
• Worked with containerized services such as Docker.
• Proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g., Elastic Stack, Graphite, Prometheus, Influx).
• System administration experience with professional skills in Linux on distributed systems at scale.