Technical Lead, Cloud Resource

<div class="content-intro"><p>We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us?</p></div><p><strong>About the job</strong></p> <p>Celonis is the global leader in execution management and process mining technology, and one of the 50 most valuable private companies in the world. Celonis empowers global enterprises to unlock hidden value in their processes, leveraging AI and advanced analytics to transform raw data into actionable insights. We're not just optimizing operations; we're redefining how businesses run, driving billions in value and making us a critical player in the rapidly expanding process intelligence and AI market. For our engineers this means tackling fascinating, large-scale technical challenges with a direct, profound impact on the efficiency and innovation of the world's leading companies.</p> <p>We are seeking a highly skilled and analytical Cloud Engineer Technical Lead to join our team. In this critical hands-on role, you will be instrumental in identifying, designing, and implementing technical solutions that drive significant cost efficiencies and optimize resource utilization across our extensive cloud compute and storage infrastructure. You will work closely with engineering teams to embed cost-conscious practices and build scalable, efficient systems that directly contribute to our profitability and continued growth. </p> <p><strong>Key Responsibilities:</strong></p> <ul> <li><strong>Technical Analysis Identification:</strong> Conduct deep technical analysis of cloud compute and storage consumption patterns to proactively identify efficiency opportunities and cost-saving potentials.</li> <li><strong>Solution Design Implementation:</strong> Design, develop, and implement automated solutions, tools, and processes for cloud resource optimization (e.g., instance right-sizing, auto-scaling strategies, storage tiering, lifecycle management).</li> <li><strong>Utilization Optimization Drive:</strong> Lead and execute initiatives to increase the utilization of existing cloud resources, including identifying and reclaiming idle or underutilized assets, and promoting shared resource models.</li> <li><strong>Cross-functional Collaboration:</strong> Partner directly with application development, SRE, and infrastructure teams to understand their resource needs, ensure efficient resource allocation, and integrate cost-aware practices into their workflows.</li> <li><strong>Cost Visibility Accountability:</strong> Contribute to the development and enhancement of internal dashboards and reporting tools to provide clear visibility into cloud spend and utilization trends for various stakeholders.</li> <li><strong>Platform Guardrails Best Practices:</strong> Contribute to the evolution of internal platform standards, policies, and guardrails that promote cost-efficiency and optimal resource usage from the design phase onwards.</li> </ul> <p><strong>Required:</strong></p> <ul> <li>Bachelor's degree in Computer Science, Engineering, or a related technical discipline; or equivalent practical experience.</li> <li>5+ years of hands-on experience as a Cloud Engineer, DevOps Engineer, or SRE in a large-scale cloud-native environment.</li> <li>Proven expertise in at least one major cloud provider (AWS, Azure, or GCP), with a strong understanding of their compute, storage, and networking services. </li> <li>Strong proficiency in at least one scripting or programming language (e.g., Python, Go, Java) for automation and tool development.</li> <li>Solid understanding of containerization (Docker, Kubernetes) and orchestration principles.</li> <li>Experience with cloud cost management and optimization tools, including native cloud cost explorers and third-party platforms.</li> <li>Dem ... (truncated, view full listing at source)