SW Engineer

Responsibilities:

• Build infrastructure as a code using Terraform.
• Build, create, and enable Kubernetes clusters (GCP / AWS / Azure / RKE)
• Manage and performance tune either database (NIFI, Elasticsearch) or streaming data pipelines (Kafka)
• 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 24x7 multi-cloud environment (OpenStack), analyze failures, and provide support for software engineers to debug production issues across microservices and distributed platforms.
• Follow SRE's best practices and procedures.

Experience Required For You To Be Successful:

• Follow SRE's 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" (not just support greenfield solutions)
• 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 (Terraform).
• 2+ years of industry experience in managing infrastructure in large enterprises.
• 2 years of Linux administration in a large-scale SaaS environment.
• 2+ years maintaining production systems on AWS and/or OpenStack, Azure and GCP.
• 2+ years' experience in managing Kubernetes in a large-scale production environment
• Strong familiarity in running and optimizing RDBs and NoSQL databases.
• 2 years using infrastructure as code software (eg. Terraform, AWS and Google Cloud Deployment, CloudFormation).
• 2 years of experience in continuous integration practices & tools (Jenkins)
• Experience with monitoring solutions such as Prometheus, Grafana, and ELK.