Cloud FinOps Analyst [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud FinOps Analyst based in the United States.

Join a high-impact role at the intersection of cloud infrastructure, financial operations, and strategic decision-making. This position offers the opportunity to shape cloud cost optimization initiatives across large-scale environments while partnering with engineering, finance, and executive stakeholders. You will develop deep expertise in cloud architecture, build visibility into infrastructure spending, and help drive smarter, more sustainable technology investments. Working in a collaborative and innovation-focused environment, you will influence key operational decisions and contribute directly to business efficiency and scalability. This role is ideal for professionals who enjoy combining technical expertise, analytical thinking, and cross-functional collaboration to deliver measurable outcomes.

Accountabilities:

• Develop and maintain a comprehensive understanding of cloud architecture and infrastructure components across multiple environments.
• Analyze cloud spending patterns and establish clear connections between architectural decisions and financial impact.
• Identify cost anomalies, inefficiencies, and optimization opportunities across compute, storage, networking, and managed services.
• Build dashboards, reporting frameworks, and cost intelligence tools that provide real-time visibility into cloud expenditure and trends.
• Define and support cloud governance initiatives, including tagging standards, resource lifecycle management, and rightsizing practices.
• Partner with engineering teams to assess the cost implications of architectural decisions before and after deployment.
• Maintain operational documentation, runbooks, and reporting processes to support cloud financial management.
• Act as the primary advisor for cloud cost-related inquiries, translating technical findings into business-oriented recommendations for leadership.
• Collaborate with cross-functional teams to align cloud strategy, operational priorities, and infrastructure roadmaps.

Requirements

• 5+ years of experience in cloud operations, cloud architecture, FinOps, or related infrastructure-focused roles.
• Strong hands-on expertise with AWS and/or Databricks environments, with multi-cloud experience considered highly valuable.
• Proficiency in Python, particularly for data analysis, reporting, and automation initiatives.
• Strong understanding of cloud-native architectures, including containerization, serverless technologies, managed databases, and distributed systems.
• Experience working with observability and monitoring platforms such as Datadog, CloudWatch, or equivalent tools.
• Familiarity with FinOps methodologies and cloud cost management solutions such as CloudHealth, Apptio, or native cloud optimization tools.
• Excellent analytical, communication, and presentation skills, with the ability to translate technical insights into executive-level recommendations.
• Experience in regulated industries, life sciences, or enterprise SaaS environments is a plus.
• Relevant certifications such as AWS Solutions Architect, GCP Professional Cloud Architect, or FinOps Certified Practitioner are advantageous.

Benefits

• Competitive compensation package with potential eligibility for performance-based incentives.
• Comprehensive medical coverage and wellness programs, including mental health and fitness benefits.
• Company-paid life insurance and Employee Assistance Program (EAP).
• Retirement and pension savings plans.
• Flexible remote working environment with opportunities for collaboration across global teams.
• Exposure to innovative cloud technologies and large-scale enterprise infrastructure initiatives.
• Career development opportunities within a fast-growing, mission-driven technology organization.
• Inclusive and supportive culture focused on collaboration, continuous learning, and professional growth.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.