Development of automation and optimization’s focused on operational excellence.
Deep dive, root cause and solve for systemic issues.
Enhance Operations quality outcomes through scalable automations.
Install, monitor, maintain, support, and optimize all production server hardware and software.
Provide escalated technical support for complex technical issues which may include leading problem management cases and providing management status.
Coordinate escalated support cases and lead appropriate internal technical resources and/or third-party vendors to resolution and coordinate a storage infrastructure of Oracle system and database appliances.
Responsible for Oracle production environments; assist with server operating system and application upgrades, bug fixes, and patching; and work on standardization projects for both hardware and software under the Oracle technology stack while providing consistent system uptime as expected in a Cloud environment.
Lead communications with key partners in solving complex technical problems.
Provide technical guidance and leadership to junior members to enable them to grow in their careers.
Requirements
Permanently resident in Romania.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
3+ years of experience in systems engineering, software development, cloud operations, or site reliability engineering roles.
Strong proficiency in at least one programming or scripting language (e.g., Python, Go, Java, Bash).
Solid understanding of Linux/Unix systems, networking (TCP/IP, DNS, load balancing), and storage technologies.
Experience with monitoring, observability, and operational analytics platforms.
Understanding of cloud-native technologies such as Docker, Kubernetes, and orchestration frameworks.
Experience participating in and leading large-scale incident response and operational bridges.
Experience developing automation solutions focused on operational excellence, reliability, and scalability.
Familiarity with AI-assisted engineering tools such as Codex, GitHub Copilot, Cursor, Claude Code, or similar technologies to improve engineering productivity.
Understanding of Large Language Models (LLMs) and their application in troubleshooting, automation, incident management, operational workflows, and knowledge management.
Familiarity with agentic workflows, AI agents, and intelligent automation frameworks to streamline operations and improve service reliability.
Strong operational mindset with a focus on ownership, customer impact, continuous improvement, automation, and operational excellence.
Experience leveraging data-driven insights, observability platforms, and automation to proactively identify, investigate, and resolve reliability and performance issues.
Customer focus, with a passion for delivering reliable and scalable cloud services.
Experience in SRE, cloud technical support, cloud operations, large-scale events management, or similar environments.
Demonstrated ability to quickly learn new technical disciplines and effectively mentor and train others.
Career Level - IC3
