{"id":4064299,"url":"https://alion.io/job/alteryx-sr-finops-cloud-engineer","title":"Sr. FinOps Cloud Engineer","company":{"id":4949,"name":"Alteryx","domain":"alteryx.com","url":"https://alion.io/company/alteryx","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Superset","optional":false},{"name":"Amazon EKS","optional":true},{"name":"Azure AKS","optional":true},{"name":"Google GKE","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-11-11T10:29:36Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T10:29:36Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Meet the Moment with Alteryx\nWe're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.\nYou'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.\nIf you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.\nWe are looking for problem solvers, innovators, and analytical thinkers who challenge the status quo. If you are an experienced technologist passionate about the intersection of cloud architecture, big data, machine learning workloads, and financial accountability, this role is for you.\nAs a Senior FinOps Engineer, you will serve as the technical backbone and subject matter expert for cloud financial operations across our global engineering organization. This role bridges deep cloud infrastructure mechanics with data engineering, algorithm design, and business economics. You will architect automated reporting pipelines, develop unit-cost metrics, govern procurement and operational policies, introduce FinOps practices for AI workloads, and partner closely with engineering squads, platform teams, and finance leaders to foster a culture of cost-aware engineering.\nKey Responsibilities\n1. Cloud Cost Visibility, Data Analytics & Anomaly Detection\nManage, curate, and normalize end-to-end cloud cost and usage datasets, ensuring high data fidelity, consistency, and standardized governance across multi-cloud environments.\nDefine, build, and maintain automated cost, usage, and efficiency dashboards using Apache Superset, supported by SQL and data extraction pipelines.\nDesign and deploy automated anomaly detection algorithms, statistical models, and alerting mechanisms to detect spending spikes, runaway workloads, and unexpected cost regressions in near real time.\nBenchmark, track, and report on cloud consumption, forecast variance, unit economics, and realized savings to engineering teams and leadership.\nImplement and refine tagging governance, business cost-allocation models, and unit economics metrics, such as cost per customer, cost per query, or cost per pipeline run.\n2. Architecture, Automation & Spend Optimization\nOwn and optimize cloud financial management platforms for reporting, cost optimization, and performance measurement. Our environment includes Cloudability, PointFive, ProsperOps, and Larridin; experience with comparable platforms is welcome.\nDesign, build, and maintain automation workflows and scripts to identify and reclaim idle, underutilized, or orphaned resources, including compute instances, unattached volumes/IPs, outdated snapshots, and development/test environments.\nLead enterprise-wide commitment strategies across AWS, Azure, and GCP, managing portfolio coverage, risk, and utilization for Reserved Instances, Savings Plans, and applicable provider-specific commitments.\nPartner with software, platform, and SRE teams to analyze utilization telemetry, implement rightsizing recommendations, and optimize compute and storage resources.\n3. FinOps for AI & Emerging Technologies\nIntroduce and establish FinOps frameworks tailored to AI, ML training pipelines, and LLM inference workloads.\nEstablish Total Cost of Ownership (TCO) and Return on Investment (ROI) models for AI infrastructure, including GPU clusters, vector databases, model hosting endpoints, and third-party AI APIs.\nCollaborate with AI/ML engineering teams to evaluate model inference performance against operational costs, improving token efficiency and hardware utilization.\n4. Governance, Procurement & Cross-Functional Alignment\nEstablish and enforce cloud cost and operational policies across accounts, subscriptions, regions, and resource configurations.\nParticipate in architectural design and cloud capacity planning for new projects, services, and major infrastructure changes.\nOversee third-party cloud marketplace software procurement, ensuring spending aligns with enterprise budgets and cloud discount commitments.\nReview production release schedules from a cost-impact perspective, incorporating pre-production load-testing analysis and cost guardrails.\nPartner with Financial Planning & Analysis (FP&A) and engineering leaders to track monthly variance, improve forecasting models, and translate technical decisions into business impact.\nCollaborate with engineering, platform, and finance teams across India and the United States. Lead knowledge-sharing sessions, develop technical documentation, and promote FinOps best practices across engineering teams.\nQualifications:\nRequired Experience:\n5+ years of hands-on experience in cloud engineering, DevOps, SRE, or cloud financial management, with strong expertise in AWS and/or Google Cloud and familiarity with Azure.\nProven experience applying FinOps principles (Inform, Optimize, Operate) in a modern cloud-native enterprise environment.\nAdvanced SQL skills and experience building automated data workflows, metrics engines, and dashboards using BI tools such as Apache Superset.\nExperience creating or configuring automated alerting rules, statistical anomaly detection, or threshold-based algorithms for infrastructure telemetry.\nDirect experience managing cloud commitment portfolios, including Savings Plans and Reserved Instances, and optimizing effective savings rates.\nStrong scripting or coding skills in Python, Bash, or Go to build automated resource reclamation, API integrations, and policy enforcement tools.\nStrong communication skills and demonstrated ability to contribute to architectural planning, implement governance policies, and explain trade-offs between cost, performance, reliability, and delivery speed.\nPreferred Qualifications:\nFinOps Certified Practitioner or FinOps Certified Professional certification.\nCloud Architect or SysOps certifications (AWS, Azure, or GCP).\nExperience implementing FinOps practices for AI/ML workloads and GPU compute environments, including TCO/ROI analysis for LLMs and distributed training.\nExperience with cloud marketplace procurement workflows and private offer agreements.\nExperience with container cost allocation across Kubernetes, EKS, GKE, or AKS using tools such as Kubecost or OpenCost.\nWorking knowledge of the FinOps Open Cost and Usage Specification (FOCUS), including its schema and taxonomy standards.\nWhat Success Looks Like\nWithin 3 Months\nComplete an assessment of existing multi-cloud accounts, commitment coverage portfolios, and FinOps tooling.\nEstablish baseline dashboards for core services, identify idle-resource optimization opportunities, and improve commitment coverage.\nParticipate in cloud architectural reviews and establish partnerships with AI/ML and platform engineering teams.\nWithin 6-12 Months\nDeploy automated anomaly detection and idle-resource cleanup solutions into production workflows.\nEstablish FinOps practices for AI workloads, providing TCO and ROI visibility into AI infrastructure and model inference.\nFormalize cloud marketplace procurement governance and cost reviews within operational release processes.\nStandardize multi-cloud cost allocation models and deliver trusted unit-cost KPIs across product lines.\nLong Term\nBuild a proactive engineering culture where financial efficiency is incorporated into architecture and infrastructure decisions.\nMaintain scalable, automated cloud cost management and optimization capabilities that evolve with business and technology needs.\nWhy This Role Matters\nAs Alteryx continues to scale its platform and invest in AI capabilities, managing cloud infrastructure efficiently is essential to sustainable growth.\nIn this role, you will go beyond monitoring cloud costs to build automation, improve financial visibility, influence architectural decisions, and establish meaningful metrics that connect engineering investments with business value.\nYour work will directly contribute to making our cloud infrastructure more efficient, scalable, and financially sustainable.\nFind yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences.\nThis position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.","description_format":"text","description_chars":8831,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Integration & ETL Tools","Data Science & Notebook Platforms"],"lifecycle":[{"event":"open","at":"2026-11-11T10:29:36Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":51,"reasons":["conf:1","win:early"],"computed_at":"2026-11-11T11:49:56Z"},"pay":null,"html_url":"https://alion.io/job/alteryx-sr-finops-cloud-engineer","json_url":"https://alion.io/job/alteryx-sr-finops-cloud-engineer.json","meta":{"generated_at":"2026-11-11T11:49:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20859,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4949},"rest":"https://alion.io/mcp/rest/get_company?id=4949"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Falteryx-sr-finops-cloud-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Falteryx-sr-finops-cloud-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Falteryx-sr-finops-cloud-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/alteryx-sr-finops-cloud-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Falteryx-sr-finops-cloud-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4064299}},{"tool":"search_jobs","arguments":{"company":"alteryx.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4064299},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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