Clound Engineer; FinOps

Cloud Engineer (Fin Ops)

Location: Irving, TX (Hybrid)

Duration: 12 Month Contract

We are seeking a skilled Fin Ops Engineer to drive financial accountability, optimize cloud spend, and improve forecasting across our technology organization. This role provides hand on technical leadership for the Fin Ops function, focused on driving efficiencies, embedding cost accountability into engineering workflows, and leveraging automation and AI assisted insights to reduce technology spend at scale.

The role partners closely with Architecture, Engineering, and Finance to ensure cost is treated as a first class operational and design consideration.

• Drive financial accountability and optimize cloud spend across the organization.
• Provide technical leadership for the Fin Ops function, embedding cost efficiency into engineering workflows.
• Collaborate with Architecture, Engineering, and Finance to treat cost as a first‑class operational and design consideration.
• Leverage automation, AI‑driven insights, and remediation workflows to reduce spend at scale.

• 6-10+ years of experience in cloud, platform, or infrastructure engineering.
• Hands on experience with Azure and GCP cost management, billing models, and optimization.
• Experience managing and optimizing on‑prem or hybrid infrastructure costs.
• Proven Fin Ops experience delivering:
• Application level cost visibility, allocation, and chargeback.
• Identify optimization opportunities (rightsizing, reserved instances/savings plans, storage lifecycle, architectural efficiencies).
• Budgeting, forecasting, anomaly detection, and variance analysis.
• Measurable cost savings and efficiency improvements.
• Strong automation and engineering capabilities, including:
• Scripting (Python, Power Shell, Bash, or equivalent).
• Building automated guardrails, alerts, and remediation workflows.
• AI assisted Fin Ops automation experience, such as:
• Using AI driven insights or anomaly detection to identify inefficiencies and spend risks.
• Automating cost insight generation, recommendations, or remediation actions.
• Experience implementing tagging, allocation, and governance standards at scale.
• Ability to integrate cost controls into engineering pipelines and operational processes.
• Strong communication skills and ability to translate technical cost drivers into business impact.

• Experience operating Fin Ops in large scale or multi cloud environments.
• Kubernetes or container cost optimization experience.
• Experience embedding cost as a non functional requirement (NFR) in architecture and design reviews.
• Familiarity with third party Fin Ops or cloud cost management platforms.
• Fin Ops Foundation certification or demonstrated applied Fin Ops maturity.