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Celonis · 1 day ago

Technical Lead, Cloud Resource

Redwood City, US, California

Full-time

Hybrid

Senior Level

$232K/yr - $310K/yr

5+ years exp

Celonis is the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. They are seeking a highly skilled and analytical Cloud Engineer Technical Lead to design and implement technical solutions that optimize resource utilization and drive cost efficiencies across their cloud infrastructure.

AnalyticsArtificial Intelligence (AI)Big DataBusiness IntelligenceBusiness Process Automation (BPA)SaaS

No H1B

Responsibilities

Conduct deep technical analysis of cloud compute and storage consumption patterns to proactively identify efficiency opportunities and cost-saving potentials

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)

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

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

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

Contribute to the evolution of internal platform standards, policies, and guardrails that promote cost-efficiency and optimal resource usage from the design phase onwards

Qualification

Cloud EngineeringAWSCost ManagementPythonContainerizationAutomation ToolsProblem-solvingCommunication Skills

Required

Bachelor's degree in Computer Science, Engineering, or a related technical discipline; or equivalent practical experience

5+ years of hands-on experience as a Cloud Engineer, DevOps Engineer, or SRE in a large-scale cloud-native environment

Proven expertise in at least one major cloud provider (AWS, Azure, or GCP), with a strong understanding of their compute, storage, and networking services

Strong proficiency in at least one scripting or programming language (e.g., Python, Go, Java) for automation and tool development

Solid understanding of containerization (Docker, Kubernetes) and orchestration principles

Experience with cloud cost management and optimization tools, including native cloud cost explorers and third-party platforms

Demonstrated ability to analyze complex technical problems, propose effective solutions, and drive their implementation

Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts clearly