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Cloud Finops Remote Jobs (NOW HIRING)

System One

Sr. FinOps Business Analyst

Washington, DC · Remote

$94K - $122K/yr

Take a lead role in supporting cloud cost management software for the Federal Reserve Board ... Remote work is not permitted. CITIZEN STATUS: Per Federal Contract US Citizenship is required.

System One

Sr. FinOps Business Analyst

Washington, DC · Remote

$94K - $122K/yr

Take a lead role in supporting cloud cost management software for the Federal Reserve Board ... Remote work is not permitted. CITIZEN STATUS: Per Federal Contract US Citizenship is required.

System One

Sr. FinOps Business Analyst

Washington, DC · Remote

$94K - $122K/yr

Take a lead role in supporting cloud cost management software for the Federal Reserve Board ... Remote work is not permitted. CITIZEN STATUS: Per Federal Contract US Citizenship is required.

Archera

Product Manager, Core Product

Archera's unique cloud rate insurance products and free FinOps platform enable teams to accurately ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Wendy's

Engineer - Cloud Foundations

Dublin, OH · Remote

$74K - $126K/yr

An Engineer of Cloud Foundations is responsible for implementing and maintaining the foundational ... FinOps experience a plus. Expected Work Location (Remote) : It is expected that you will primarily ...

Cerence Operating Company

FinOps Engineer / Architect

$86K - $129K/yr

Manage and improve cloud cost reporting across environments like Azure, AWS, and GCP. Define ... Remote and/or hybrid work available depending on the position All compensation and benefits are ...

Blackbaud

TBM Product Owner

$87K - $114K/yr

Act as the liaison between Finance, IT, Engineering, Cloud FinOps, and Business stakeholdersand ... Remote-flexible workforce * Wellness Programs * 401(k) program with employer match * Flexible paid ...

The Wendy's Company

Engineer - Cloud Foundations

Dublin, OH · Remote

$74K - $126K/yr

An Engineer of Cloud Foundations is responsible for implementing and maintaining the foundational ... FinOps experience a plus. Expected Work Location (Remote) : It is expected that you will primarily ...

Archera

Software Engineer, Data Quality

$117K - $140K/yr

Archera's unique cloud rate insurance products and free FinOps platform enable teams to accurately ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Archera

Product Manager, Core Product

Archera's unique cloud rate insurance products and free FinOps platform enable teams to accurately ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Archera

Software Engineer, Data Quality

$117K - $140K/yr

Archera's unique cloud rate insurance products and free FinOps platform enable teams to accurately ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Blackbaud

TBM Product Owner

SC · Remote

$87K - $114K/yr

Act as the liaison between Finance, IT, Engineering, Cloud FinOps, and Business stakeholdersand ... Remote-flexible workforce * Wellness Programs * 401(k) program with employer match * Flexible paid ...

Cerence

FinOps Engineer / Architect

$86K - $129K/yr

Daily Functions / Responsibilities: • Manage and improve cloud cost reporting across environments ... Remote and/or hybrid work available depending on the position All compensation and benefits are ...

CrowdStrike

Engineer III - FinOps Data Analytics (Remote)

$117K - $140K/yr

Support integration efforts between cloud billing APIs and internal systems Engineering Support * Contribute to tooling development that supports FinOps processes across product and platform groups

Blackbaud, Inc.

TBM Product Owner

$87K - $114K/yr

Act as the liaison between Finance, IT, Engineering, Cloud FinOps, and Business stakeholders and ... Remote-flexible workforce * Wellness Programs * 401(k) program with employer match * Flexible paid ...

Scopely

This is a remote opportunity for individuals in Canada or the United States. As a Director, Cloud ... Define the operating model for how governance partners with game teams, security, and FinOps

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Cloud Finops Remote information

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How much do cloud finops remote jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for cloud finops remote in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

What is a Cloud FinOps role?

A Cloud FinOps role focuses on managing and optimizing cloud financial operations to ensure efficient cloud spending and value delivery. Professionals in this role collaborate with engineering, finance, and business teams to monitor cloud costs, implement budgeting strategies, and create cost-saving recommendations. They use analytics and reporting tools to track usage, allocate expenses, and drive accountability across cloud services. The goal is to maximize the business value of cloud investments while maintaining cost control and financial transparency.

What are the key skills and qualifications needed to thrive as a Cloud FinOps professional?

To thrive as a Cloud FinOps professional, you need a solid understanding of cloud computing, financial analysis, and cost optimization, often supported by a degree in finance, IT, or a related field. Familiarity with cloud management platforms (such as AWS Cost Explorer or Azure Cost Management), data analytics tools, and FinOps certifications is highly beneficial. Strong communication, problem-solving, and collaboration skills help you bridge the gap between technical teams and financial stakeholders. These abilities are crucial for optimizing cloud spend, ensuring transparency, and maximizing business value from cloud investments.

What are some common challenges faced by Cloud FinOps professionals working remotely, and how can they be addressed?

Cloud FinOps professionals working remotely often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring real-time visibility into cloud spend, and maintaining effective communication for decision-making. To address these, it's important to establish clear communication channels, leverage cloud cost management tools that offer collaborative dashboards, and set up regular touchpoints with engineering and finance teams. Building strong documentation practices and proactively sharing insights can also help align remote teams around cost optimization goals.

What is the difference between Cloud Finops Remote vs Cloud Analyst Remote?

AspectCloud Finops RemoteCloud Analyst Remote
Required CertificationsFinOps Certified, Cloud certifications (AWS, Azure, GCP)Cloud certifications (AWS, Azure, GCP), sometimes FinOps knowledge
Work EnvironmentRemote, collaborative teams focusing on financial optimizationRemote, analyzing cloud usage and costs
Industry UsageFinance, cloud cost management, FinOps teamsIT, cloud service providers, enterprise IT departments

Cloud Finops Remote professionals focus on managing cloud costs and financial operations, often requiring FinOps certifications. Cloud Analysts also work remotely analyzing cloud usage but may not specialize in financial optimization. Both roles are in cloud-centric industries, but Cloud Finops Remote roles emphasize financial management skills.

More about Cloud Finops Remote jobs

What cities are hiring for Cloud Finops Remote jobs?

Cities with the most Cloud Finops Remote job openings:

What are the most commonly searched types of Cloud Finops jobs?

The most popular types of Cloud Finops jobs are:

What states have the most Cloud Finops Remote jobs?

States with the most job openings for Cloud Finops Remote jobs include:

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The top searched job categories for Cloud Finops Remote jobs are:

Cloud Finops Remote jobs near you
Infographic showing various Cloud Finops Remote job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.

Staff Backend / Product Engineer - FinOps & AI Cost Intelligence Platform

Virtasant

Austin, TX • On-site, Remote

Full-time

Re-posted 22 days ago

Job description

Staff Backend / Product Engineer - FinOps & AI Cost Intelligence Platform
(AI Platform)
Location: Remote
Type: Full-time
Team: Cost Optimisation (CO) - Product Engineering
Reports to: Director of Engineering
About Virtasant
Virtasant is a global technology services company that delivers outcomes through automation. Our services include software engineering, technology operations, cloud migration, application modernization, and cloud optimization.
We help some of the world's largest organizations modernize their technology operations, optimize costs, and unlock new opportunities for innovation. Our fully remote, globally distributed team is passionate about delivering world-class technology solutions while embracing a culture of excellence, ownership, and impact.
The Role
We're looking for a Staff-level, backend-first Product Engineer to help evolve our multi-cloud FinOps platform into a broader cloud and AI cost intelligence platform. The role will focus on distributed data systems, reliable processing of cloud billing and usage data, platform architecture, and extending AI cost visibility from aggregate spend toward application, workflow and request-level attribution.
You'll operate with high autonomy, significant ownership, and direct access to product leadership. Think founding engineer energy, without the chaos.
You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty.
What You'll Be Doing
  • Design and build backend-heavy platform features for our platform.
  • Productionalise AI-enabled capabilities (e.g. anomaly detection, recommendations, agent-based workflows).
  • Implement AI thoughtfully across the entire SDLC - prototyping, testing, iteration, and deployment.
  • Design and build distributed data pipelines that process cloud billing, usage, and AI telemetry.
  • Build reliable systems that handle backfills, late-arriving data, and historical reprocessing.
  • Design scalable data models and APIs that power customer-facing analytics and AI cost insights.
  • Collaborate closely with Product to turn vision into shipped features.
  • Identify blockers early, communicate clearly, and iterate fast.
  • Help shape engineering standards and patterns as the product matures.
  • You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty.
  • Build AI features with explicit evaluation criteria, feedback loops, and guardrails (accuracy, latency, cost, and explainability) so models improve predictably over time.

Success in the first 6-12 months looks like:
  • 2+ production-ready features shipped.
  • Tangible progress towards operating as a smart intelligence platform.
  • Clear, repeatable engineering patterns for AI-enabled development.
  • Utilize lightweight but rigorous AI engineering practices (evaluation harnesses, rollout strategies, and rollback mechanisms) that allow the platform to scale AI features safely and repeatedly.

What We're Looking For (Non-Negotiables)
  • 8+ years of professional software engineering experience, with deep backend expertise in Python (Java or C++ as secondary languages).
  • Experience building and operating data-intensive backend systems or pipelines in production.
  • Strong understanding of data modelling, reliability, and data processing.
  • Ability to design scalable systems and take them from concept through production.
  • Experience with AI driven development to accelerate and drive product development.
  • Hands-on experience building on AWS.
  • Demonstrated experience using AI in real production systems (not just experimentation - clear, repeatable patterns).
  • Comfortable working in ambiguity with product-led direction.
  • Ability to architect backend services that support asynchronous workflows, event-driven pipelines, and AI agents that operate over time rather than single request/response cycles.
  • Comfort articulating why certain AI approaches were not used, including trade-offs around latency, explainability, data availability, or long-term maintainability.

What Matters More Than Checklists
We care deeply about how you think and build, not just what tools you've used.
We're looking for engineers who can:
  • Tell a compelling story about a product journey, not just features shipped
  • Explain why decisions were made and what trade-offs were considered
  • Fail fast, learn quickly, and iterate relentlessly
  • Clearly articulate technical roadblocks and collaborate on solutions
  • Thrive in a fast-paced, high-ownership environment

Why This Role Stands Out
  • You'll work on a real AI product, not internal tooling or demos.
  • Near-founding-engineer level autonomy and influence.
  • Direct impact on product direction and commercial outcomes.
  • Opportunity to help shape a platform with standalone, licensable AI capabilities.
  • A rare chance to build product inside a consultancy without being consumed by client work.
  • You'll build AI capabilities informed by real enterprise-scale cost and usage data, enabling smarter models and workflows than greenfield or synthetic-data products.

Why Virtasant
  • High ownership, high trust environment.
  • Opportunity to own and shape technical delivery at scale.
  • Work closely with experienced engineering and delivery teams.
  • Exposure to broader cloud optimisation and consulting initiatives over time.

Our team Optimization Locations HQ Remote status Fully Remote

Apply