Engineer - Service Reliability Engineering (SRE) (100% Remote)

Role: Service Reliability Engineer (SRE) Location: Remote/Mountain View, CA Duration: Fulltime Visa: Any visa is fine including transfers. Responsibilities:

• Implement tools and processes necessary to achieve required SLOs for Client's Platform.
• Define and implement CI/CD pipelines.
• Automate delivery of platform services using infrastructure-as-a-code. Build self-service playbooks for platform which can be consumed across globally distributed teams at Client's.
• Define and implement incident response management process, deploy necessary tools.
• Fix support and escalation issues.
• Conduct post-incident reviews.
• Collaborate with application and business stakeholders to ensure high-quality product is developed and deployed in production. Work diligently with other engineering teams to ratify release processes necessary to meet business goals.
• Drive continuous improvement process.

• Expert knowledge of one of the major public cloud platforms (Azure, AWS, Google Cloud Platform).
• Hands-on programming experience in Python or other object-oriented programming languages.
• Expert knowledge of Infrastructure and Application Monitoring tools: Prometheus, Grafana, DataDog, etc.
• Experience implementing IaC concepts using Terraform, Chef, Puppet.
• Experience with Elasticsearch, Kibana.
• Experience administering Databases.
• Expert in Linux administration.
• Expert knowledge of Docker, Helm.
• Experience implementing CI/CD for cloud native applications.
• Experience with deploying applications that utilize Service Mesh.
• Experience administering Kubernetes clusters.
• Experience defining and implementing incident response management processes.

• Bachelor's degree preferred; may consider relevant experience in lieu of a degree.
• 8+ years' experience in software engineering with a degree; 12+ years' experience in software engineering in lieu of a degree.

• Master's degree
• Understanding of GitOps principals.
• Experience implementing secure and compliant Kubernetes platforms.
• Experience deploying and managing stateful distributed service in Kubernetes.
• Experience with security scanning tools.
• Experience with intrusion detection systems.
• Experience with various messaging systems, such as Kafka or RabbitMQ.
• Working knowledge of Databricks, Team Foundation Server, TeamCity, Octopus deploys and DataDog.

• Corporate office/lab environment.
• Ability to travel 10% of the time.