> Markdown version of [/jobs/ext/1821081-finops-specialist-and-cloud-optimization](https://www.wearedevelopers.com/jobs/ext/1821081-finops-specialist-and-cloud-optimization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # FinOps Specialist and Cloud Optimization - **Company:** Mindlance - **Location:** Bethesda, MD, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Engineering, Data as a Services, Python (Programming Language), Cloud Services, Scripting, Snowflake, Usage Tracking, Containerization, Information Technology, Cloud Optimization, Databricks - **Published:** July 31, 2026 - **Apply:** https://www.dice.com/job-detail/eefceb05-4cca-488a-aad6-aeb34e40b9c1 ## About the Role The ideal candidate should also have hands-on experience leveraging AI to enhance FinOps functions, including: * Anomaly detection * Reporting and analytics * Cost estimation * Workload optimization * Rate optimization, * Bachelor s degree in an engineering or computer science discipline and/or equivalent experience/certification * 7+ years experience in information technology including experience in Cloud technologies (AWS, AliCloud, Azure), OS scripting, automation (e.g. Python, Bash) * 3+ years of experience in developing and implementing FinOps/Cloud Cost Optimization strategies Preferred * Excellent problem-solving skills by working independently and through leading outcomes for cross functional teams * Excellent verbal and written communication skills for a wide range of audiences including executives, business stakeholders and IT teams * Familiarity with services such as Amazon Bedrock, SageMaker, Azure OpenAI, Azure AI Foundry, Google Vertex AI, OpenAI APIs, Anthropic, Databricks, Snowflake AI, or similar platforms ## Description * The consultant will partner with AI, product, engineering, architecture, finance, and business teams to establish an enterprise framework for AI governance, cost optimization, and value realization. Key responsibilities include: * Defining model routing, tagging, caching, guardrails, spend controls, and observability standards * Building metrics and dashboards to measure AI adoption, usage, costs, and business outcomes * Creating a scalable operating model that enables leadership to understand: * Who is using AI * How much it costs * How efficiently it is being used * What value it delivers, The Senior Systems Engineer will be a technical expert responsible for driving measurable savings and financial accountability across public cloud platforms by engineering automation for tagging compliance, budget & anomaly guardrails, and workload optimization. This role will be responsible for enabling cost transparency, optimization, forecasting, chargeback/showback, anomaly detection, and unit economics across public cloud, container platforms, data services, and emerging AI/GenAI workloads. The position will partner with Engineering, Finance, Product, Architecture, Security, Procurement, and AI/ML teams to build scalable FinOps capabilities that improve financial accountability, optimize cloud and AI consumption, and connect technology spend to measurable business value. This position requires a strong blend of cloud engineering, financial analytics, automation, AI/ML cost management, and stakeholder leadership., * Analyzes cloud usage - Monitoring cloud usage patterns, resource utilization, and spending to identify areas for improvement * Designs and implements AI-enabled FinOps capabilities for cloud cost visibility, forecasting, anomaly detection, optimization recommendations, and executive reporting * Establishes FinOps governance for AI/ML and GenAI workloads, including cost allocation, usage tracking, forecasting, budgeting, and optimization * Analyzes, optimizing, and implementing cost optimization actions across different cloud services * Implements and manages automated tools to help identify cost trends and anomalies * Collaborating with teams - Working with finance and business teams to align cloud spending with budgetary constraints * Provides technical leadership, oversight, governance and direction for services related to client s solution delivery * Provides technical expertise to project team for successful project and change implementations * Determines customer requirements and works with sourced resources to develop solutions * Leads analysis of current environment for deficiencies and provides solutions * Provides input into lifecycle, improvement, and standardization strategies * Develops and generates periodic utilization reports to provide visibility to performance, capacity, availability and SLA management * Utilize capacity data to model future state planning with overall strategy and goals * Provides and presents status, analysis and reporting to internal stakeholders, Executive Management and Senior Leadership * Trains and/or mentors other team members, and peers as appropriate Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans. ## Related Videos - [Move Fast, Break Budgets: FinOps in the Age of DevOps and AI](https://www.wearedevelopers.com/videos/2016-move-fast-break-budgets-finops-in-the-age-of-devops-and-ai) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)