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Finops Engineer Jobs in Forney, TX (NOW HIRING)

Digital Realty

Sr. Cloud Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Optimize performance and cloud costs (FinOps practices) Collaboration & Leadership * Act as a technical lead for complex cloud initiatives * Mentor junior engineers and review designs and code

MSR Cosmos

Sr. AWS Architect

Dallas, TX · On-site

$64 - $84/hr

Core Engineering is the platform backbone enabling this shift. We're searching for an elite AWS ... FinOps & Cost Controls * Establish tagging standards, cost allocation, rightsizing; RI/SP strategy ...

Vizient

Senior AI Financial Operations Analyst

Irving, TX

$81K - $101K/yr

You will serve as a key partner in establishing AI FinOps capabilities that enable responsible ... Collaborate with engineering teams to optimize AI workloads through improvements in prompt ...

Vizient

Senior Financial Operations Analyst

Irving, TX · Hybrid

$81K - $101K/yr

You will serve as a key partner in establishing software asset management and FinOps practices that ... Analyze trends in developer tooling, SaaS adoption, and platform utilization to ensure technology ...

Vizient, Inc.

Senior Financial Operations Analyst

Irving, TX · On-site

$82K - $102K/yr

You will serve as a key partner in establishing software asset management and FinOps practices that ... Analyze trends in developer tooling, SaaS adoption, and platform utilization to ensure technology ...

TEKsystems

Practice Architect AI/ML

Dallas, TX

$136K - $204K/yr

You will operate at the intersection of software engineering discipline, cloud architecture, and ... FinOps & cost governance: establish cost visibility and spend governance for AI workloads across ...

Horace Mann

Domain Managing Architect - Cloud

Plano, TX · On-site +1

$124K - $175K/yr

... engineering organizations to translate strategic objectives into scalable technology solutions. * Experience in risk management and executive-level presentations. * Knowledge of FinOps and Cloud cost ...

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All JobsFinops Engineer JobsFinops Engineer Jobs in Forney, TX

Finops Engineer information

See Forney, TX salary details

$35.1K

$91.7K

$123.9K

How much do finops engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for finops engineer in Forney, TX is $91,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,700.00 and $105,000.00 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 Forney, TX?

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

What job categories do people searching Finops Engineer jobs in Forney, TX look for?

The top searched job categories for Finops Engineer jobs in Forney, TX are:

What cities near Forney, TX are hiring for Finops Engineer jobs?

Cities near Forney, TX with the most Finops Engineer job openings:

Finops Engineer jobs near you

AgenticAI Forward Deployed Engineer| Onsite

Photon

Dallas, TX • On-site

Full-time

Re-posted 8 days ago

Job description


Job Title: AI Strategy & Consulting
Location: Dallas, TX
Experience: 10+ years
Employment Type: Full-time
Job Summary:
The Forward Deployed Engineer (FDE) will be a critical bridge between the product development team and the enterprise customers. This role requires a unique blend of deep technical expertise in AI/ML, cloud deployments, and exceptional communication skills to deliver successful outcomes for complex, agentic AI solutions. The FDE will be responsible for customer-facing engagements, demonstrating the power of the platform, and leading proof-of-concept initiatives, while also managing diverse technical teams.
Key Responsibilities:
  • Solution Design: Presenting the platform's capabilities, understanding customer requirements, architecting solutions, and guiding successful deployments in diverse enterprise environments.

  • Deliverables: Delivering Agentic AI Proof-of-Concepts

  • Deployments: Customer-Facing Platform & Deployment Expertise.

  • Customer Interaction: Lead and execute technical POCs for agentic AI solutions, showcasing the value and potential of the platform. This involves collaborating closely with customer stakeholders to define success criteria, designing and implementing bespoke agent configurations, and demonstrating quantifiable business impact

  • Agent Orchestration: Architect agent orchestration solutions aligned with customer requirements, ensuring timely implementation and delivery.

  • Platform Development: Develop resilient, scalable, and high-performance platforms and tools to support product evolution and seamless production deployment.

  • Collaboration: Manage and mentor both offshore and onshore technical personnel involved in deployments, integrations, and POCs. Foster a collaborative environment, ensure consistent technical standards, and drive efficient project execution across geographically dispersed teams.

  • Performance Optimization: Optimize the platform and infrastructure for performance, scalability, and cost-efficiency.

  • Best Practices: Establish and enforce best practices for code quality, model versioning, experimentation tracking, and FinOps, TechOps, MLOps, AIOps, for Agentic AI.

  • Mentorship & Guidance: Provide technical leadership and mentorship to junior AI engineers and researchers.

  • Innovation & Research: Stay abreast of the latest advancements in AI research and actively explore new techniques and tools to enhance our capabilities.

  • Documentation: Create comprehensive technical documentation for architectures, models, and processes.

  • Ability and willingness to travel, up to 80% to client locations

Required Skills & Qualifications:
  • Strong AI/ML Acumen: Deep understanding of AI/ML concepts, methodologies, and frameworks. Experience with agentic AI, LLMs, machine learning pipelines, and model deployment strategies is highly desirable.

  • Cloud Deployment Expertise: Extensive hands-on experience with any of the major cloud platforms (AWS, GCP, Azure), including infrastructure-as-code, containerization (Docker, Kubernetes), serverless architectures, and managed AI/ML services.

  • Customer Engagement & Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Proven ability to build strong customer relationships and drive successful outcomes.

  • Problem-Solving & Adaptability: Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues in real-time. Comfortable working in fast-paced, dynamic environments with evolving customer needs.

  • Project Management Fundamentals: Ability to manage multiple projects concurrently, prioritize tasks, and deliver results within agreed-upon timelines.

  • Relevant Experience: [Specify desired years of experience, e.g., 5+ years] in a customer-facing technical role, such as Solutions Architect, or Forward Deployed Engineer, with a focus on Agentic AI or complex software deployments.

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