Cloud and Orchestration Production Engineer - Dublin, Ireland - SIG

    SIG
    SIG Dublin, Ireland

    1 week ago

    SIG background
    Description

    Overview

    IT data engineers bridge the gap between raw data and actionable insights. They ensure data reliability, optimize performance, and contribute to data-driven decision-making within organizations. If you're detail-oriented, analytical cloud engineer and passionate about data, this role might be a great fit for you

    Job Duties:

    Build systems that help:

  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Improve data quality and efficiency
  • Explore ways to enhance data quality and reliability
  • Analyze and organize raw data

    • You also will be asked to:

  • Participate in the management of other systems, taking advantage of all existing tools and data repositories. Know the production environment and topology.
  • Support, maintain, and build out monitoring and automation for application infrastructure and platforms supported in our environment.
  • Research & develop of new technologies and solutions to enhance performance, availability, and reliability of our IT Systems & Infrastructure
  • Work towards improving our automation and orchestration solutions
  • Actively test, measure, and analyze results to vet ideas and optimize choices throughout the stack
  • Collaborate with other engineers towards common goal of improving existing platforms and solutions as per the business needs
  • Create, update and maintain documentation for internal use.
  • Ensure critical systems are kept in operation during trading hours
    • What we're looking for
  • Bachelor's degree in computer science, Information Technology, Engineering or another related technical field.
  • MS Azure AZ-104 + DP-203 or equivalent experience (min 4-6 years)
  • Technical experience with following concepts & technologies
  • Elasticsearch: Deploying, configuring, and maintaining Elasticsearch in a high-demand architecture
  • Kafka: Understanding Kafka's distributed messaging system and stream processing capabilities.
  • RabbitMQ: Familiarity with RabbitMQ for message queuing and communication between services (or other equivalent messanging systems).
  • Infrastructure as Code (IaC) - Terraform/Cloud Formation/Azure Resource Management Templates
  • Configuration management systems (Ansible/AWX), automation pipelines (Azure DevOps), Infrastructure as Code (Terraform) and Version Control (git)
  • Containerization and Orchestration: Docker/Kubernetes
  • Monitoring and Logging: (Prometheus/Grafana/)
  • Storage technologies (NFS/SMB/Object - Implementing and managing storage accounts and resources)