Responsibilities:
Build infrastructure as a code using Terraform.
Build, create, and enable Kubernetes clusters %28GCP / AWS / Azure / RKE%29
Manage and performance tune either database %28NIFI, Elasticsearch%29 or streaming data pipelines %28Kafka%29
Manage and Create CICD pipelines, configuration, and automation tools for infrastructure provisioning.
Write and maintain runbooks for knowledge-driven automated processes and bots.
Do capacity planning based on performance, usage, and utilization stats.
Partner with developers and quality engineering teams to automate the monitoring, alerting, availability, and scalability of our applications and systems.
Ensure system availability and business continuity by implementing redundant servers/services.
Manage after-hours infrastructure updates and maintenance.
Proactively research and propose the use of new concepts, processes, technologies, and tools.
Proactive monitoring, diagnosis, on-call rotation, and resolution of issues in a 24×7 multi-cloud environment %28OpenStack%29, analyze failures, and provide support for software engineers to debug production issues across microservices and distributed platforms.
Follow SRE%27s best practices and procedures.
Experience Required For You To Be Successful:
Follow SRE%27s best practices and procedures.
An extensive background in developing and operating large-scale cloud-based distributed applications
Direct experience developing/running applications on OpenStack, GCP, AWS, and Azure.
Laser focus and be able to design infrastructure solutions for scalability, reliability, high availability, performance, software maintainability, and operational excellence
The ability to “fix the plane while in flight” %28not just support greenfield solutions%29
The ability to prioritize existing technical and infrastructure debt, and experience to build and execute a plan to pay it off
Required skills:
Delivering reliable operations for web-scale infrastructure for a global market at high release velocity
Must have proven experience of over 5 years with at least 1 of the languages: Go, Python or Java
Experience with Kafka, Kubernetes, NIFI, Elasticsearch, MongoDB, Vertica, Zookeeper, and IaC %28Terraform%29.
10+ years of industry experience in managing infrastructure in large enterprises.
5 years of Linux administration in a large-scale SaaS environment.
7+ years maintaining production systems on AWS and/or OpenStack, Azure and GCP.
5+ years%27 experience in managing Kubernetes in a large-scale production environment
Strong familiarity in running and optimizing RDBs and NoSQL databases.
3 years using infrastructure as code software %28eg. Terraform, AWS and Google Cloud Deployment, CloudFormation%29.
5 years of experience in continuous integration practices & tools %28Jenkins%29
Experience with monitoring solutions such as Prometheus, Grafana, and ELK.
