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Requirements: A bachelor's degree in Computer Science, Engineering or related field, or equivalent experience Proficient in one or more programming languages, such as Python, Go, Java, or C++ Proficient in one or more scripting languages, such as Bash, Perl, or Ruby Proficient in one or more cloud platforms, such as AWS, Azure, or GCP Proficient in one or more UNIX-like operating systems Proficient in one or more configuration management and deployment tools, such as Ansible, Chef, Puppet, or Terraform Proficient in one or more monitoring and alerting tools, such as Prometheus, Grafana, Datadog, or Splunk Proficient in one or more container and orchestration tools, such as Docker, Kubernetes Proficient in one or more web servers and proxies, such as Apache, Nginx, or Envoy Proficient in one or more databases and data stores, such as MySQL, PostgreSQL, MongoDB, or Redis Proficient in one or more version control and collaboration tools, such as Git Knowledgeable in the concepts and principles of site reliability engineering, such as SLIs, SLOs, error budgets, incident management, postmortems, and blameless culture Knowledgeable in the concepts and principles of software engineering, such as design patterns, code quality, testing, debugging, and documentation Knowledgeable in the concepts and principles of performance engineering, such as profiling, benchmarking, load testing, and capacity planning Knowledgeable in the concepts and principles of distributed computing, such as concurrency, parallelism, synchronization, and consensus Responsibilities: Assisting with resources to facilitate engineering services, and keep them operational This includes continuous integration systems, software deployment and basic troubleshooting of code, and creation and management of software repositories Ensuring servers are patched against security exploits in time, managing secure access to servers and repositories for partners and internal staff, and secure interconnection between systems Ensuring servers are configured in a documented and repeatable way Ensuring system and server architecture is appropriate to the requirements of projects, easily maintainable in the long term, and provides appropriate levels of redundancy Provide timeous uptime assurance, and support with issue investigation and recovery procedures
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