22 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Manage and govern multi-cloud cost and usage datasets across accounts, subscriptions, regions, and resource configurations.
- Build automated cost, usage, efficiency, and unit-economics dashboards using Apache Superset, SQL, and data extraction pipelines.
- Design and deploy anomaly detection algorithms, statistical models, alerting mechanisms, and cost guardrails for near-real-time spending visibility.
- Own cloud financial management platforms including Cloudability, PointFive, ProsperOps, and Larridin.
- Automate identification and reclamation of idle, underutilized, orphaned, and outdated cloud resources.
- Lead cloud commitment strategies across AWS, Azure, and GCP, including Reserved Instances and Savings Plans.
- Partner with software, platform, and SRE teams on utilization analysis, rightsizing, and compute and storage optimization.
- Establish FinOps frameworks and TCO/ROI models for AI, ML training, GPU, vector database, model hosting, and LLM inference workloads.
- Establish cloud cost and operational policies, participate in architecture and capacity planning, and oversee cloud marketplace procurement.
- Collaborate with FP&A and engineering leaders on forecasting, monthly variance, business impact, and cost-aware architecture decisions.
- Lead knowledge sharing, technical documentation, and adoption of FinOps practices across engineering teams in India and the United States.
Requirements
- 5+ years of hands-on experience in cloud engineering, DevOps, SRE, or cloud financial management.
- Strong expertise in AWS and/or Google Cloud with familiarity with Azure.
- Proven experience applying FinOps principles in a modern cloud-native enterprise environment.
- Advanced SQL skills and experience building automated data workflows, metrics engines, and BI dashboards such as Apache Superset.
- Experience creating automated alerting rules, statistical anomaly detection, or threshold-based infrastructure telemetry algorithms.
- Direct experience managing cloud commitment portfolios, including Savings Plans and Reserved Instances, and optimizing savings rates.
- Strong scripting or coding skills in Python, Bash, or Go for resource reclamation, API integrations, and policy enforcement.
- Strong communication skills and the ability to support architectural planning, governance, and cost-performance-reliability trade-off decisions.
- Preferred: FinOps Certified Practitioner or FinOps Certified Professional certification.
- Preferred: AWS, Azure, or GCP Cloud Architect or SysOps certification.
- Preferred: FinOps experience for AI/ML workloads and GPU environments, including TCO/ROI analysis for LLMs and distributed training.
- Preferred: cloud marketplace procurement and private offer agreement experience.
- Preferred: container cost allocation across Kubernetes, EKS, GKE, or AKS using Kubecost or OpenCost.
- Preferred: knowledge of the FinOps Open Cost and Usage Specification, including schema and taxonomy standards.
Benefits
- The company supports a growth mindset and encourages applicants who meet some, but not all, requirements.
- The position involves access to software and technology subject to U.S. export controls, and employment is contingent on compliance with those controls.
- The role collaborates across engineering and finance teams in India and the United States.
Tech Stack
Categories
Data EngineeringDevOps
About Alteryx
Alteryx builds an analytics automation platform used by analysts, data engineers, and data scientists to prepare, blend, and analyze data with code-optional tools. Its products, including Alteryx Designer plus cloud and server offerings, are sold primarily via subscriptions for on-premises and SaaS deployments across enterprises. Founded in 1997 and headquartered in Irvine, California, Alteryx is privately held under Clearlake Capital.