Cloud and Orchestration Production Engineer
1 month ago
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 dataYou 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 hoursWhat 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)
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