CloudOps Engineer
Via agency · Bluebird
System administratorNetwork engineer
Software developerFull-timeBudapest
If building and maintaining cloud-scalable systems and solving complex problems is your passion, you are reliable, collegial, and thrive in a fast-paced, collaborative environment, this is the job for you. The CloudOps Engineer will use their expertise to design, develop, and document cloud infrastructure and cloud monitoring solutions. This individual will work with team members to gather requirements and deploy cloud technology to help scale a platform used to power the world's video advertising.
Tasks
- Automate manual ops tasks to streamline processes and reduce manual effort.
- Identify areas where systems can be improved to increase system reliability and reduce system incidents.
- Manage and support proactive monitoring solutions across the Production environment.
- Look for trends and themes in issues reported in Live Applications and facilitate investigations by Developers to avoid repeated occurrences.
- Perform actions on the product codebase (backend/frontend) for real-time diagnosis of major incidents in live systems.
- Perform analysis and reporting on frequently occurring live problems.
- Deliver Tier 3 support for production infrastructure, providing 24/7 on-call coverage during weekends and public holidays to resolve complex issues and maintain critical service availability and reliability.
- Act as a first responder for infrastructure and production incidents.
- Perform root-cause analysis and prepare incident/RCA reports.
- Implement corrective and preventive actions to avoid recurring incidents.
- Create and manage automated infrastructure solutions, including automated builds and configuration management.
- Assist developers who are fixing bugs in understanding the details and user scenarios around reported bugs to accelerate triage and resolution.
- Understand the fundamentals of large-scale on-premises and cloud mission-critical systems, including networking, security, redundancy, scalability, monitoring, and performance KPIs.
- Be fast and adaptable, with a proven ability to integrate and leverage new technologies, PaaS offerings, and APIs.
Conditions & benefits
Cafeteria package and Medicover private healthcareHybrid working modelOpportunity to shape and grow a newly building teamInternational environment and collaboration across global teamsClose collaboration with a recognized US-based AI expertModern, AI-focused technology environmentHigh level of ownership and the opportunity to make a real impact on the data platform and engineering organization
Requirements
- At least 5+ years of hands-on experience with CloudOps/DevOps and tools including Git, CI/CD environments, and designing, writing, and delivering system automation.
- Strong PowerShell experience, as well as other programming or scripting languages such as Python, Bash/Shell, Java, JavaScript, and/or Node.js.
- Experience working with Jenkins, Ansible, and Terraform.
- Ability to think holistically, putting the customer first for a given project or problem.
- Creative, resourceful problem solver with an aptitude for systems thinking.
- Strong written and oral communication skills, including the ability to communicate complex issues to technical and non-technical staff and management.
- Hands-on experience with AWS, preferably in a large-scale enterprise system.
- Understanding of Docker, Kubernetes, and container technology.
- Knowledge of monitoring and alerting tools such as Datadog, Grafana, and Zabbix.
- Knowledge of log management tools such as OpenSearch, ELK Stack, and CloudWatch.
- Understanding of general security architecture and design.
- Understanding of source control and change management.
- Ability to create and maintain technical references for team members through API integrations or static intranet articles, including diagrams, spreadsheets, and checklists.
- Ability to prioritize and multitask in a fast-paced environment.
- Strong expertise in Linux and Windows Server administration, including troubleshooting complex production issues, performance tuning, patch management, security hardening, and system optimization.