Cloud Systems Engineer

Industry: Technology
Company size: 251-10K

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Job description

A US-based company building a consumer-data platform is looking for a Cloud Systems Engineer. The engineer will adhere to strict production SLAs for a custom distributed application that runs on AWS cloud infrastructure. The company reduces data silos and improves customer experiences by simplifying the flow of customer data between systems and applications. It has managed to successfully raise close to $300 mn in funding. This will be a long-term, full-time role that requires some overlap with the US Eastern time zone.


Job Responsibilities:

  • Innovative monitoring, metrics, and log analytics to enable continuous improvement in system visibility and application performance
  • Identification of critical problems' root causes across the platform, incident reports, and communication
  • Sustain, monitor, and contribute to the improvement of the performance and availability of the 24x7 production environment, which includes networks, servers, databases, and so on
  • Supporting and troubleshooting the production and QA environments
  • To resolve customer requests/tickets, adhere to established internal workflows
  • Participate in an on-call rotation and offer hands-on assistance during emergencies, outages, and service transitions
  • Contribute to the development of long-term and short-term strategies for scaling the production environment
  • Follow a comprehensive incident management program that includes problem resolution
  • Create key performance indicators (KPIs) for service availability, uptime, and adherence to SOPs and SLAs 

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a software engineer
  • 2+ years of experience with Linux server administration
  • Experience with Amazon Web Services (EC2, ECS, S3, etc.)
  • Basic scripting skills- Bash and Python
  • Technical knowledge of several monitoring and analytics tools such as AWS CloudWatch, Sumologic, and Datadog
  • Experience with Docker, Vagrant, Ansible, Chef, and Puppet is nice to have
  • Experience in maintaining a secure production environment
  • Proficiency in English

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