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Finops Engineer Jobs in Texas (NOW HIRING)

Quanta Services

Supervisor, Cloud Engineer

Spring, TX · On-site

$51.25 - $68.50/hr

A key responsibility is Cloud FinOps ownership -- establishing financial governance, improving cost ... with engineering, security, and enterprise standards (without direct hands-on administration ...

New

Cloud BC Labs

SRE Lead

Dallas, TX · On-site

$56.50 - $75/hr

Role- SRE Lead Location-Dallas TX Onsite Term : W2 JD: Required Skills & Experience As a Senior SRE ... Experience with cloud cost optimization and FinOps practices Technical Skills: Proficiency in ...

LPL Financial

VP, Container Engineering

Austin, TX · On-site

$178K - $230K/yr

Karpenter, Spot, right-sizing, namespace chargeback, Kubecost or equivalent, cost-anomaly detection, and platform-level FinOps guardrails * Drive platform stability, reliability, and SRE practices:

CBRE

Software Engineer Director

Richardson, TX · On-site

Partner with cloud engineering, FinOps, and business technology leaders to identify where Cloud & AI product roadmaps: define AI tooling can remove bottlenecks, improve decision quality, and ...

ESG

Senior Cloud Engineer

Houston, TX · Hybrid

$53.25 - $71.25/hr

... FinOps) in hybrid environments. We are seeking a Mid-Senior DevOps Engineer with 8+ years of ... relevant experience who is eager to grow their skills and contribute to our dynamic team. This is a ...

ESG - USA

Senior Cloud Engineer

Houston, TX · On-site

$57 - $76.25/hr

... FinOps) in hybrid environments. We are seeking a Mid-Senior DevOps Engineer with 8+ years of ... relevant experience who is eager to grow their skills and contribute to our dynamic team. This is a ...

ESG - USA

Senior Cloud Engineer

Houston, TX · Hybrid

$53.25 - $71.25/hr

... FinOps) in hybrid environments. We are seeking a Mid-Senior DevOps Engineer with 8+ years of ... relevant experience who is eager to grow their skills and contribute to our dynamic team. This is a ...

News Corporation

Sr Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

Identify infrastructure cost optimization opportunities and implement FinOps practices including ... Execute chaos engineering experiments to identify system weaknesses; contribute to frameworks for ...

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Showing results 21-40

All JobsFinops Engineer JobsFinops Engineer Jobs in Texas

Finops Engineer information

See Texas salary details

$36.3K

$94.8K

$128.1K

How much do finops engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for finops engineer in Texas is $94,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a FinOps engineer?

FinOps Engineers are professionals who specialize in cloud financial management, helping organizations optimize their cloud spending and improve budgeting, forecasting, and cost allocation. They work closely with engineering, finance, and operations teams to implement best practices for cloud usage and cost control. Their goal is to ensure that cloud investments deliver maximum business value by balancing performance, cost, and innovation.

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

To thrive as a FinOps Engineer, you need a solid understanding of cloud computing, financial analysis, and cost optimization, often supported by a background in computer science, finance, or cloud certifications. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), cost management tools, and data analytics systems is essential. Strong problem-solving, cross-functional collaboration, and effective communication skills set top performers apart in this role. These skills are crucial for managing cloud spending efficiently and enabling organizations to maximize value from their cloud investments.

How does a FinOps engineer typically collaborate with engineering and finance teams to optimize cloud spending?

A FinOps Engineer acts as a bridge between engineering and finance teams by translating technical cloud usage data into actionable financial insights. They often participate in regular meetings with both groups to review cloud costs, identify optimization opportunities, and set budgetary controls. This role requires clear communication to ensure that engineering teams can maintain performance while finance teams achieve cost visibility and predictability. FinOps Engineers also help establish and enforce best practices for tagging, resource allocation, and forecasting to support collaborative decision-making.

What is the difference between Finops Engineer vs Cloud Engineer?

AspectFinops EngineerCloud Engineer
CredentialsCertifications in cloud cost management, FinOps Foundation, cloud platformsCertifications in cloud architecture, AWS, Azure, or GCP
Work EnvironmentFinance and operations teams, cloud cost optimization projectsCloud infrastructure setup, deployment, and management
Industry UsageFinance, IT, cloud service providersIT, cloud service providers, enterprise IT teams

Finops Engineers focus on managing and optimizing cloud costs, working closely with finance and operations teams. Cloud Engineers build and maintain cloud infrastructure. While both roles require cloud platform knowledge, Finops Engineers specialize in cost management, making them distinct yet complementary roles in cloud environments.

Is Finops Engineer a good career?

A Finops Engineer is a role focused on managing cloud financial operations, optimizing cloud costs, and implementing financial governance in cloud environments. It is a growing field with demand for skills in cloud platforms, financial analysis, and tools like AWS, Azure, or Google Cloud, making it a promising career choice for those interested in cloud technology and finance. The role often requires certifications and strong analytical skills, with opportunities across various industries adopting cloud solutions.

What are popular job titles related to Finops Engineer jobs in Texas?

For Finops Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Finops Engineer jobs in Texas look for?

The top searched job categories for Finops Engineer jobs in Texas are:

What cities in Texas are hiring for Finops Engineer jobs?

Cities in Texas with the most Finops Engineer job openings:

Finops Engineer jobs near you
Infographic showing various Finops Engineer job openings in Texas as of September 2026, with employment types broken down into 42% Full Time, and 58% Contract. Highlights an 73% In-person, and 27% Hybrid job distribution, with an average salary of $94,798 per year, or $45.6 per hour.

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

Austin, TX • On-site, Remote

Virtasant
IT Services • 1 - 5K employees
Learn more about Virtasantexternal

Full-time

Re-posted 19 hours 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