Senior AI Cloud Engineer

Managed Services Operations Lead (FinOps / Public Cloud)

DETAILS

• Location : 100% Remote
• Position Type : 6M C2H
• Hourly / Salary : to $95W2+ (based on experience level)

JOB SUMMARY

OpenKyber is currently seeking a Managed Services Operations Lead (FinOps / Public Cloud) for a 6M C2H opportunity that is remote. The Managed Services Operations Lead (FinOps / Private Cloud) will act as the primary technical authority and SME for the network of partners, customers, and vendors in the area of cloud financial operations. The Managed Services Operations Lead (FinOps / Private Cloud) will collaborate within the consulting group to guide the creation, architecture, and rollout of FinOps-based solutions tailored to client needs. The Managed Services Operations Lead (FinOps / Public Cloud) will provide guidance and mentorship to fellow team members in their assigned group, as well as across the wider organization for internal programs and secondary project assistance. The Managed Services Operations Lead (FinOps / Public Cloud) must have a strong forward-thinking approach with excellent leadership skills and extensive hands-on expertise in managing cloud finances, driving cost efficiencies, establishing controls and policies, and working effectively across various major public cloud environments.

• FinOps Service Delivery Ensuring FinOps Services / Deliverables are Provided On Time / Highest Quality Standards | Exceeding Client Expectations
• FinOps Solution Architecture Designing / Implementing Complex / Mission-Critical / Enterprise-Grade AI-First FinOps Solutions
• Client Relationship Management Building / Maintaining Strong Client Relationships | Driving Business Growth | Identifying Upsell / Cross-Sell Opportunities
• Technical Communication Developing High-Quality Deliverables / Presentations for Engineering Teams / Finance Stakeholders / Senior Leadership (Technical / Non-Technical)
• Client Advisory / Consulting Collaborating with Clients to Understand Technical / Operational / Financial Challenges | Developing Tailored FinOps Solutions
• Executive Solution Presentation Creating / Presenting Solution Designs / Options / Innovations to Senior Leadership Teams
• FinOps Strategy / Roadmapping Developing / Maintaining Technical Roadmaps / Innovation Plans for FinOps Solutions / Services
• Project Planning / Risk Management Establishing Project Estimates / Plans / Risk Mitigations | Overseeing Delivery of Technical FinOps Solutions
• Team Leadership / Mentorship Providing Mentorship / Coaching / Professional Development Opportunities to Team Members
• Technical Community Leadership Leading Collaboration Across Internal Technical Communities
• Technical Escalation Management Serving as Primary Technical Escalation Point for FinOps Engineers Supporting Client Engagements
• Cloud Cost Management Architecture Leading Design / Implementation of Scalable Approaches for Cost Allocation / Tagging Strategy / Showback / Chargeback / Budgeting / Forecasting / Optimization Across Cloud Environments (Azure / AWS / Google Cloud Platform)
• Principal FinOps Engineering Acting as Principal FinOps Engineer for Complex Client Scenarios Requiring Advanced Technical / Financial Analysis
• Cloud Cost Investigation Leading Deep-Dive Analysis of Cloud Spend Drivers / Billing Anomalies / Optimization Opportunities / Cost Visibility Gaps
• FinOps Standards / Automation Developing / Maintaining Standards / Procedures / Data Models / Automation / Reusable AI-Assisted Assets (Playbooks / Policies / Models / Dashboards) | Improving FinOps Maturity / Scalability
• FinOps Advisory Advising Clients on FinOps Best Practices / Governance Models / Operating Models / Maturity Improvements
• Delivery Risk Management Partnering with Delivery Managers / Service Leadership to Identify Delivery Risks / Technical Gaps / Improvement Opportunities
• AI / Automation Strategy Defining / Driving AI and Automation Roadmap for FinOps (Anomaly Detection / Rightsizing / Commitment Optimization / Intelligent Budgeting / Forecasting)
• Platform Capability Development Evaluating / Productizing Capabilities from FinOps Platforms (CloudHealth / CloudZero / Harness CCM / Native Cloud Tools) / Cloud AI/ML Services (SageMaker / Vertex AI / Azure ML)
• Data Governance for FinOps Defining Data Quality / Tagging / Metadata Standards for Reliable AI-Driven Insights / Automated FinOps Workflows
• AI Model Operations Establishing Processes for Monitoring / Tuning AI Models used for Forecasting / Anomaly Detection / Optimization | Ensuring Transparency and Explainability
• Cross-Team Innovation Collaborating with AI/ML / Platform Engineering Teams to Develop Joint FinOps + AI Solutions / Reference Architectures
• AI Adoption / Culture Championing a "Humans + AI" Culture by Enabling Engineers / Analysts to Effectively use AI Copilots / Automation Tools

About the Project :

The senior FinOps technical lead will be the go-to client-facing expert for the enterprise FinOps segment. The FinOps lead will own a focused portfolio of 5 6 major enterprise accounts, delivering high-touch, white glove consultative services, building governance, tagging, cost allocation, optimization, budgeting, and forecasting strategies across AWS / Azure / Google Cloud Platform. The FinOps lead will guide those clients from basic crawl-stage maturity all the way to advanced run-stage optimization, while mentoring the FinOps engineers, handling technical escalations, and translating complex cost concepts seamlessly for DevOps teams through to C-suite executives. The FinOps lead must be a blend deep multi-cloud FinOps expertise with strong consulting presence, rapid multitasking across clients, and a project-management mindset to drive measurable cloud value and uncover growth opportunities in a fast-growing managed services practice. Ideal for someone certified (at least Practitioner level), experienced with AI workload cost management, and proven in high-stakes, client-facing environments.

JOB REQUIREMENTS

• Certifications (multiple) FinOps Certified Practitioner / FinOps Certified Professional / AWS Solutions Architect / MS Azure Administrator / Azure Solutions Architect / Google Cloud Certifications, etc.
• Managed Services Operations Lead (FinOps) (5+ years) FinOps / Cloud Cost Management / cloud Governance / Cloud Engineering
• FinOps / Cloud Management Platforms (2+ years) Harness CCM / Cloudability / CloudHealth / CloudZero / Native Cloud Cost Management Tools, etc.
• Solution Design Facilitating Whiteboard Sessions with Customers to Develop FinOps Solutions Addressing Business / Financial / Technology Goals
• Business Consulting / Executive Communication Translating AI / Automation Capabilities into Clear Business Value / ROI / Executive-Level Narratives
• FinOps Capability Development Designing / Implementing FinOps Capabilities Across Cost Visibility / Allocation / Governance / Optimization / Budgeting / Forecasting / Reporting
• Organizational Transformation Driving Adoption of FinOps / Cloud Governance / Cost Accountability / Showback / Chargeback / Operational Maturity Initiatives
• Automation / Scripting Building Event-Driven / API-Based Automations | PowerShell / Python / Bash / CI/CD Pipelines to Integrate FinOps Platforms / ITSM Tools / Cloud Services
• Cloud Cost Analytics Analyzing Cloud Billing Data / Usage Trends / Tagging Compliance / Optimization Opportunities Across Azure / AWS / Google Cloud Platform
• Cloud Architecture / Financial Alignment Connecting Enterprise Cloud Platform Design (Compute / Storage / Networking / Databases / Containers / Security / Identity) to Financial Outcomes
• FinOps Frameworks / Governance Applying Enterprise FinOps Principles | Crawl-Walk-Run Maturity Model / Cloud Cost Optimization Strategies / Governance Frameworks / IaC / Cloud Operating Models
• Enterprise IT Collaboration Working Across Enterprise Architecture / Operations / Finance / Procurement / Security Functions in Large Organizations
• Policy-as-Code / Cloud Governance Implementing Policy-as-Code / Governance Tooling (Terraform + Sentinel / Open Policy Agent / Azure Policy / AWS Config) to Enforce FinOps Guardrails
• Communication / Stakeholder Engagement Excellent Written / Verbal Communication | Strong Interpersonal Skills

PREFERRED (not required)

• Cloud Data / Analytics Platforms (hands-on) Snowflake / BigQuery / DataBricks, etc. | Aggregating / Analyzing Cloud Cost / Usage Data
• Advanced Analytics / ML Applying Time-Series Forecasting / Anomaly Detection / Clustering to Cloud Cost Optimization / Capacity Planning
• FinOps Platform Integration Integrating FinOps Platforms (CloudHealth / CloudZero / Harness CCM / Native Cloud Tools) with Automation / Orchestration and AI Services to Build End-to-End Cost Optimization Workflows / Intelligent Recommendations

Determining compensation for this role (and others) at OpenKyber depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, OpenKyber notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan.

Additional disclaimer: Unless otherwise noted in the job description, the position OpenKyber is filing for is occupied. Please note, however, that OpenKyber is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within OpenKyber will be otherwise assessed by recruiters and hiring managers. OpenKyber does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

For applications and inquiries, contact: hirings@openkyber.com