About MontyCloud:

MontyCloud is a Seattle, WA-based No-Code CloudOps company. We help customers achieve excellence in cloud operations in just a few clicks.

Role Overview:

We are seeking a seasoned Senior AWS FinOps & Cloud Operations Engineer to lead our cloud financial management initiatives and drive operational excellence. This role is pivotal in shaping our product strategies, conducting research and proofs of concept (POCs), and providing opinionated insights to influence product direction. The ideal candidate will possess a deep understanding of AWS services, cost optimization strategies, and cloud operations, coupled with a passion for innovation and continuous improvement.

Key Responsibilities:

AWS FinOps:

• Manage and optimize AWS accounts, focusing on cost efficiency and resource utilization.
• Develop and maintain Amazon QuickSight dashboards utilizing Cost and Usage Reports (CUR) and Cost Optimization and Reporting (COR) data.
• Implement and manage AWS-native dashboards, including the Cost Optimization Hub and other cloud intelligence tools.
• Conduct regular cost reviews with stakeholders, providing insights and recommendations for cost savings.
• Advocate for AWS cost optimization best practices across the organization.
• Analyze Reserved Instances (RI), Savings Plans, and Spot Instances to optimize cost structures.
• Maintain tagging standards and enforce cloud governance policies.

Cloud Operations & Architecture:

• Design and implement scalable, secure, and cost-effective cloud architectures following AWS Well-Architected Framework.
• Collaborate with DevOps and engineering teams to ensure seamless deployment and operation of cloud services.
• Monitor cloud infrastructure for performance, reliability, and cost anomalies.
• Troubleshoot and resolve production issues, ensuring minimal downtime and optimal performance.
• Implement Infrastructure as Code (IaC) using tools like Terraform and AWS CloudFormation.

Research & Product Leadership:

• Lead research initiatives and POCs to explore new technologies and methodologies.
• Provide opinionated insights and recommendations to influence product strategy and roadmap.
• Collaborate with cross-functional teams to translate research findings into actionable product features.

AWS Well-Architected Reviews & Cloud Assessments:

• Conduct AWS Well-Architected Reviews (WAFR) for customer environments, assessing cloud architectures against AWS Well-Architected Framework best practices across the pillars: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization.
• Provide expert guidance on AWS best practices, delivering clear, actionable recommendations to customers for enhancing security, reliability, and performance.
• Develop and present Well-Architected Review reports, including prioritized remediation plans and strategic guidance for cloud optimization.
• Maintain up-to-date expertise in AWS services, architecture patterns, and best practices, ensuring high-quality review outcomes.

Generative AI & Emerging Technologies:

• Design and implement generative AI applications using Amazon Bedrock, leveraging foundation models from providers like Anthropic and AI21 Labs.
• Develop and manage agentic AI workflows utilizing Amazon Bedrock Agents, including custom orchestrators for complex task automation.
• Integrate Model Context Protocol (MCP) servers to enhance AI capabilities with domain-specific knowledge and tool access.
• Collaborate with cross-functional teams to translate research findings into actionable product features.
• Stay abreast of industry trends and emerging technologies to inform product development

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 8+ years of experience in cloud operations, with a strong focus on AWS services.
• Proven experience in AWS cost optimization and financial operations (FinOps).
• Strong proficiency in AWS services such as EC2, S3, RDS, Lambda, Bedrock etc.
• Experience with AWS Cost Explorer, Budgets, and other cost management tools.
• Proficiency in scripting languages like Python or Bash for automation purposes.
• Experience with data visualization tools like Amazon QuickSight.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• AWS certifications such as AWS Certified Solutions Architect or AWS Certified AI Practitioner are preferred.

Preferred Skills:

• Experience with FinOps tools like CloudHealth, Apptio Cloudability, or similar.
• Knowledge of cloud governance and compliance standards.
• Familiarity with DevOps practices and CI/CD pipelines.
• Experience in leading research initiatives and providing strategic product insights.

Why Join MontyCloud?

• Be part of a forward-thinking company that values innovation and efficiency.
• Work in a collaborative environment with opportunities for professional growth.
• Contribute to impactful projects that shape the future of cloud management.
• Enjoy a flexible work culture that supports work-life balance.