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DevOps / Systems Engineer at ClimateTech Scaleup

Posted about 2 months agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: South Africa, Germany

🔍 Industry: ClimateTech

🏢 Company: Kupa Global

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPostgreSQLPythonDjangoGCPKubernetesGrafanaCI/CDTerraform

Requirements:
  • 5+ years of experience as a DevOps Engineer, SRE, or in a similar role, managing cloud-based infrastructure at scale.
  • Deep expertise in AWS (experience with GCP is a plus).
  • Experience with administering cloud infrastructure at scale, ideally through some configuration management Terraform.
  • Experience with administering relational databases (PostgreSQL preferred).
  • Familiarity with SQS, Pub/Sub, and message-driven architectures.
  • Knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture is a plus
  • Sound knowledge of UNIX and TCP/IP network fundamentals
  • Solid experience with concepts such as monitoring, infrastructure-as-code, CI/CD, containers (Docker & Kubernetes) and related tools.
  • Fluent in at least one of the major web programming language as well as common engineering tools like Git, Jira.
  • Ability to debug and optimize code.
  • Automation comes naturally to you and is your first instinct.
  • You see value in agile methodologies like Scrum or Kanban and in applying engineering best practices, code reviews and pair programming, and automated tests.
Responsibilities:
  • Design, build, and maintain cloud infrastructure primarily on AWS, with some components on GCP.
  • Work with the development team to address any scaling issues in the backend (built on Django) and our PostgreSQL database, ensuring optimal performance and availability.
  • Automate deployments, configurations, and scaling processes using Terraform.
  • Implement robust monitoring and alerting systems to proactively identify and resolve performance issues.
  • Enhance the developer experience by optimizing CI/CD pipelines and streamlining workflows.
  • Work independently to identify and implement improvements to the infrastructure and processes.
  • Collaborate with engineering and data teams to ensure infrastructure supports product and research needs.
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