FinOps Architect: Cloud Cost Mastery & Scale

AppLab Systems, Inc; Austin (TX); On-site; USD 140,000 - 170,000; Full time

Job summary

AppLab Systems, Inc. in Austin, TX seeks a FinOps engineer to design and build the foundational FinOps architecture for a large-scale Data Platform. You will develop systems that enable cost visibility, efficiency, and accountability across thousands of workloads.

With 8+ years in software, infrastructure, or platform engineering, you will bring skills in Python, Go, or Java and familiarity with Spark, Kubernetes, or distributed systems, plus hands-on telemetry and observability experience.

Qualifications

• 8+ years of experience in software, infrastructure, or platform engineering with a focus on performance, scalability, or cost optimization.
• Deep understanding of cloud/on-prem cost models and FinOps concepts.
• Proficiency in Python, Go, or Java and experience with large data systems such as Spark or distributed infrastructures.
• Hands-on experience with observability and telemetry platforms (Prometheus, Grafana, Datadog) and metrics pipelines.

Responsibilities

• Design and build the foundational FinOps architecture for a large-scale Data Platform to enable cost visibility, efficiency, and accountability across thousands of workloads.
• Build cost attribution, chargeback, or FinOps automation systems at scale.
• Model resource usage and design allocation frameworks to enforce efficiency policies.
• Collaborate with partner engineering, finance, and capacity planning teams to drive cost and efficiency improvements.

Skills

Python

Go

Java

Spark

Kubernetes

Distributed systems

Tools

Prometheus

Grafana

Datadog

Job description

AppLab Systems, Inc. in Austin, TX seeks a FinOps engineer to design and build the foundational FinOps architecture for a large-scale Data Platform. You will develop systems that enable cost visibility, efficiency, and accountability across thousands of workloads.

With 8+ years in software, infrastructure, or platform engineering, you will bring skills in Python, Go, or Java and familiarity with Spark, Kubernetes, or distributed systems, plus hands-on telemetry and observability experience.