CrawlJobs Logo

Senior FinOps Engineer

India, Bangalore · Job Posted February 20, 2026
Apply Position
Job Link Share

Job Description

We are looking for a Senior FinOps Engineer with hands-on experience in Cloud Cost Optimization practices, software development capabilities, AI/automation expertise, strong analytical skills, and a passion for driving financial insights that enable smarter business decisions. The ideal candidate is a self-starter with excellent cross-team collaboration abilities and a proven track record of delivering results in a dynamic environment.

Job Responsibility

  • Prepare and deliver reports, presentations and KPIs on cloud spend performance versus plan and forecast for Finance, engineers, and leaders
  • Support the evaluation, implementation, and ongoing management of cloud consumption and financial management tools
  • Work closely with cross-functional stakeholders to understand their needs, align priorities, and build a clear, value-driven roadmap
  • Partner with engineering, product, and Finance teams to identify cost drivers, promote best practices for efficient cloud consumption, and implement savings opportunities
  • Lead cost optimization initiatives, including analyzing and recommending savings plans, reserved instances, and right-sizing opportunities across CSPs (e.g., AWS, Azure, OCI), SAAS (e.g., Datadog, Snowflake) & GenAI
  • Collaborate with the other Platform teams to ensure effective tagging strategies and alerting frameworks are deployed and maintained at scale
  • Support forecasting by partnering with Finance and engineering teams to understand demand plans and proactively manage capacity and spend
  • Build custom integrations and data pipelines connecting cloud billing APIs, FinOps platforms, and internal systems to enable real-time cost visibility and automated alerting
  • Drive a culture of optimization by translating financial insights into actionable engineering recommendations, promoting cost-conscious architecture, and leveraging automation for resource optimization
  • Leverage Generative AI tools to enhance FinOps automation, streamline reporting, and improve team productivity across forecasting, optimization, and anomaly detection

Requirements

  • BS/MS in Computer Science or equivalent experience
  • 4+ years of professional experience in Cloud FinOps, IT Financial Management, or Cloud Cost Governance within an IT organization
  • 4+ years of overall experience in Cloud Infrastructure Management, DevOps, Software Development, or related technical roles with hands-on cloud platform expertise
  • Hands-on experience with native cloud cost management tools (e.g., AWS Cost Explorer, Azure Cost Management, OCI Cost Analysis) and third-party FinOps platforms (e.g., Vantage, Cloudability, CloudHealth or CloudZero)
  • Proven experience working within the FinOps domain in a large enterprise environment (e.g., building and managing custom reports, dashboards, and financial insights)
  • Deep understanding of cloud financial management practices, including chargeback/showback models, cost savings and avoidance tracking, variance analysis, and financial forecasting
  • Practical experience with cloud optimization and governance practices such as anomaly detection, capacity planning, rightsizing, tagging strategies, and storage lifecycle policies
  • Skilled in leveraging automation to drive operational efficiency in cloud cost management processes
  • Strong analytical and data storytelling skills, with the ability to collect, interpret, and present complex financial and technical data to diverse audiences
  • Experience developing dashboards and metrics aligned with business goals and industry benchmarks
  • Ability to influence and drive change management initiatives that increase adoption and maturity of FinOps practices
  • Highly results-driven, detail-oriented, and goal-focused, with a passion for continuous improvement
  • Strong communicator and collaborative team player with a passion for mentoring and educating others
  • Hands-on development experience building automation solutions (e.g., TypeScript, Github Actions), APIs, or internal tools for cloud management or financial operations
  • Practical experience with GenAI technologies including prompt engineering, and integrating LLM APIs (OpenAI, Claude, Bedrock) into business workflows
  • Experience with Infrastructure as Code (Terraform etc.) and CI/CD pipelines for deploying FinOps automation and tooling
  • Familiarity with data visualization (e.g., Amazon QuickSight) and building interactive dashboards programmatically
  • FinOps Certified Practitioner

Nice to have

  • AWS, Azure, or OCI cloud certifications
  • Experience building chatbots or conversational AI interfaces for internal tooling
  • Knowledge of ML/AI frameworks
  • Advanced user experience in managed Kubernetes systems

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior FinOps Engineer

8 matching positions

Senior Site Reliability Engineer

We are seeking an experienced Senior Site Reliability Engineer (L3) to join our ...
Location
Location
India , Chennai
Salary
Salary:
Not provided
arcadia.com Logo
Arcadia
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • 8–10+ years of experience in SRE/DevOps/Cloud Engineering, with deep hands-on exposure to AWS and Kubernetes
  • Strong hands-on experience with: Terraform & Infrastructure as Code
  • AWS core services (EKS, IAM, RDS, EC2, VPC, CloudWatch, CloudTrail, GuardDuty)
  • Jenkins + Groovy, GitHub Actions, ArgoCD, FluxCD
  • Kubernetes troubleshooting and operations
  • Prometheus/Grafana/Datadog observability stacks
  • Proven ability to operate in high-scale, high-uptime, multi-environment production systems
  • Experience building automation via Python/Bash and reducing operational toil
  • Strong understanding of incident management, root cause analysis, and reliability engineering principles
Job Responsibility
Job Responsibility
  • Design, build, and maintain AWS infrastructure (EKS, VPC, RDS, IAM, CloudWatch, CloudTrail, GuardDuty, Load Balancers, S3, CloudFront) using Terraform and CloudFormation
  • Lead all aspects of Kubernetes operations including cluster upgrades, performance tuning, CNI troubleshooting, workload scaling, Helm chart packaging, and GitOps deployments
  • Own and evolve our CI/CD ecosystem across Jenkins (Groovy scripting), GitHub Actions, AWS CodePipeline, ArgoCD, and FluxCD
  • Improve platform reliability by reducing operational toil through automation, scripting (Python/Bash), and proactive system hardening
  • Implement and enhance observability across Prometheus, Grafana, Loki, Tempo, Datadog, and CloudWatch—ensuring actionable alerting, dashboards, and metrics alignment with SLO/SLIs
  • Drive FinOps initiatives, identifying cost inefficiencies and working with engineering teams to implement best practices, tagging standards, budgeting, and resource right-sizing
  • Manage database operations across MySQL and PostgreSQL including backups, performance tuning, replication, and operational runbooks
  • Maintain and improve secret management using Vault, AWS Secrets Manager, and Parameter Store
  • Strengthen cloud security posture with IAM least privilege, CSPM reviews, audit readiness, GuardDuty/CloudTrail monitoring, and environment hardening
  • Troubleshoot complex production issues across networking, Kubernetes, compute, databases, and CI/CD systems
What we offer
What we offer
  • Competitive compensation and employee stock options
  • Hybrid/remote-first working model (India-based role, with global collaboration)
  • Flexible leave policy
  • Comprehensive medical insurance (self + family members)
  • Annual performance cycle + quarterly recognition awards
  • A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation
  • Fulltime
Read More
Arrow Right

Senior Analytics Engineer – Cloud & FinOps

JFrog is seeking a Senior Analytics Engineer – Cloud & FinOps to help drive data...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
jfrog.com Logo
JFrog
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong SQL and data modeling expertise
  • Python for data analysis and automation
  • Experience building data pipelines and ETL/ELT workflows
  • Strong analytical thinking and problem-solving skills
  • Experience working with large-scale operational or infrastructure dataset
  • Experience using AI-assisted development tools such as Cursor, Claude, Copilot, or similar
  • Experience working with modern data platforms such as: Redshift, BigQuery, Snowflake
  • Experience with analytics and visualization tools such as: Tableau / Looker / Power BI / QuickSight
  • Experience working with cloud infrastructure data (AWS, Azure, or GCP)
  • Familiarity with cloud billing datasets and cost management analytics
Job Responsibility
Job Responsibility
  • Analyze cloud cost and usage data across multiple cloud providers to identify cost drivers, trends, and optimization opportunities
  • Develop analytical frameworks that connect infrastructure usage, operational metrics, and business activity
  • Support FinOps initiatives by improving visibility into how platform workloads and engineering decisions influence cloud spend
  • Investigate cloud cost anomalies and infrastructure changes to identify root causes and improvement opportunities
  • Design and maintain data pipelines and transformations that ingest data from sources such as: cloud billing exports
  • infrastructure telemetry
  • operational metrics
  • internal product and business systems
  • Build scalable analytics datasets and data models optimized for infrastructure and cost analysis
  • Ensure data accuracy, consistency, and governance across analytical datasets
Read More
Arrow Right

Senior Manager of DevOps

Planet DDS is a leading provider of a platform of cloud-based solutions that emp...
Location
Location
United States , Irvine
Salary
Salary:
168000.00 - 210000.00 USD / Year
planetdds.com Logo
Planet DDS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science or related field, or equivalent experience
  • Minimum 3 years of experience leading distributed infrastructure engineering teams
  • Minimum 7 years of hands-on experience with Azure (required), AWS and GCP (preferred)
  • Experience with infrastructure as code tools and cloud security best practices
  • Deep experience with FinOps and cloud cost optimization
  • Strong written and verbal communication skills
  • Proven ability to execute and deliver results in a fast-paced environment
Job Responsibility
Job Responsibility
  • Lead a distributed DevOps team across the US, UK and Bangladesh, supporting applications built on Azure, AWS, and GCP
  • Drive adoption of AI-based DevOps tools to automate processes, optimize infrastructure, and enhance team productivity
  • Implement and monitor team productivity metrics, using data-driven insights to continuously improve performance
  • Collaborate closely with other engineering managers to align on technical strategy, resource allocation, and project execution
  • Take ownership of cloud cost control and FinOps initiatives, ensuring efficient use of resources and budget
  • Manage vendor relationships for cloud providers and ensure optimal utilization of services
  • Build and execute roadmaps for scalable, resilient, and secure cloud infrastructure
  • Champion best practices for cloud security, compliance, and cost optimization
  • Participate in code and design reviews to maintain high standards of quality and maintainability
  • Fulltime
Read More
Arrow Right

Senior Software Engineer – Cloud Engineering & FinOps

Work Arrangement: Hybrid: This role is categorized as hybrid. This means the suc...
Location
Location
United States , Austin, Texas; Warren, Michigan
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience)
  • 5+ years of hands-on software engineering experience, with a strong focus on building cloud-native applications and platforms
  • Proficiency in modern programming languages: Next.js (or React) for frontend and Go for backend services
  • Strong experience with Docker for containerization and Kubernetes for orchestration
  • Experience designing and building scalable data pipelines, APIs, or backend services in a cloud environment
  • Solid understanding of cloud fundamentals across at least one major provider (Azure, GCP, AWS), including cost structures, billing concepts, and resource optimization
  • Demonstrated ability to write clean, maintainable code, conduct code reviews, and participate in technical decision-making
  • Demonstrated ability to clearly communicate technical and non-technical information verbally and in writing
  • Strong problem-solving skills with the ability to deliver high-quality features quickly in an agile environment
Job Responsibility
Job Responsibility
  • Building FinOps tooling and cloud onboarding experiences that power GM's enterprise-wide cloud transformation
  • Design, develop, and evolve our in-house Cloud Onboarding and FinOps Portal—a modern platform built with Next.js (frontend) and Go (backend services)
  • Creating frictionless developer and team experiences by embedding cost awareness, usage optimization, and governance directly into the cloud onboarding and operational workflows
  • Own key components including: Billing data ingestion pipelines from major cloud providers (Azure, GCP, AWS)
  • Utilization metrics, cost analytics, and optimization recommendation engines
  • Cloud onboarding workflows and frictionless, self-service capabilities
  • Design and build scalable, cloud-native services with speed and quality
  • Lead technical decision-making and architecture discussions
  • Conduct code reviews and uphold high engineering standards across the team
  • Collaborate closely with peer teams to design new features and deliver end-to-end solutions
  • Fulltime
Read More
Arrow Right

Staff Platform Software Engineer

EarnIn is seeking a Staff Platform Engineer to lead the strategic design, automa...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s Degree in Computer Science or equivalent industry experience
  • 7+ years of experience in cloud infrastructure, managing large-scale, high-availability, customer-facing distributed systems
  • Proven experience mentoring and guiding senior engineers, driving technical decisions, and leading company-wide cloud initiatives
  • Mastery of public cloud providers, specifically AWS (EKS, DynamoDB, Aurora, Kinesis, etc.)
  • Strong expertise in containerized microservices running on Kubernetes
  • Deep knowledge of automation and configuration management tools (Terraform, Ansible)
  • Expertise on CICD pipelines and tools, including Jenkins, GHA, Argo CD, Spinnaker & FluxCD or similar
  • Experience with advanced observability tools (DataDog, CloudWatch)
  • Track record of leading cost optimization / FinOps initiatives, performance tuning, and operational excellence projects
  • Proven ability to drive cross-functional initiatives with engineering, product, and business teams
Job Responsibility
Job Responsibility
  • Serve as a key architect and thought leader in the cloud infrastructure domain, guiding the team on best practices
  • Mentor and coach senior engineers across the company in advanced cloud operations practices
  • Provide oversight of hosted Linux and Windows systems, networks, databases, and applications, identifying and solving critical performance, scalability, and stability challenges
  • Design and develop reusable components and operational strategies to enhance the scalability, performance, and monitoring of cloud systems
  • Collaborate with other senior engineers to create technical solutions that address company-wide cloud challenges
  • Lead the establishment and continuous evolution of infrastructure-as-code best practices, driving automation, self-healing, and security standards
  • Drive operational cost savings through service optimizations, autoscaling strategies, and distributed processing architectures
  • Collaborate closely with cross-functional teams, including security, engineering, and business teams, to ensure that operational strategies align with company-wide objectives
  • Provide thought leadership in company-wide initiatives such as observability, automation, and disaster recovery
  • Continuously evaluate existing tools and processes, lead efforts to socialize, present, and implement enhancements for optimal operational efficiency
What we offer
What we offer
  • healthcare
  • internet/cell phone reimbursement
  • a learning and development stipend
  • opportunities to travel to our Mountain View HQ
  • Fulltime
Read More
Arrow Right

Senior Platform Engineer - FinOps

The Open Banking platform engineering team is looking for a senior platform engi...
Location
Location
Ireland , Dublin 18
Salary
Salary:
Not provided
mastercard.com Logo
Mastercard
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong programming skills in Golang and Python, with hands-on experience building and maintaining complex microservices applications
  • 5+ years of experience in cloud architecture and infrastructure management, with a deep focus on cloud cost optimization
  • Expertise in cloud platforms (AWS, Azure, GCP), with advanced knowledge in cloud cost management and FinOps practices
  • Strong ability to analyze large datasets, identify cost inefficiencies, and present data through dashboards and visualizations
  • Proven experience in cloud cost management, FinOps practices, and scalable architecture design
  • Proficiency in traversing and analyzing large datasets, with expertise in tools like SQL, Python, or other data processing, query languages
  • Expertise in developing dashboards and visualizations using tools like AWS Quicksight, Tableau, Power BI, or cloud-native solutions (e.g Kubecost/Opencost)
  • Strong knowledge of cloud platforms (AWS, Azure, GCP), infrastructure-as-code (Terraform, Kubernetes), and automation frameworks
  • Experience in system and application design with a focus on efficiency and reliability
  • A broad technical background with experience across development and infrastructure tools
Job Responsibility
Job Responsibility
  • Design, implement, and maintain cost-efficient cloud infrastructure across multiple clouds
  • Architect and optimize scalable systems and applications with a focus on performance and reliability
  • Traverse and analyze large datasets to identify trends, inefficiencies, and opportunities for optimization
  • Develop and maintain intuitive dashboards and visualizations to present insights on cloud costs, resource utilization, and performance metrics
  • Collaborate with stakeholders to ensure financial and technical goals align, providing actionable insights to support decision-making
  • Automate infrastructure provisioning, monitoring, and reporting using tools like Terraform, Kubernetes, and cloud-native solutions
  • Build tools and processes for efficient cost forecasting, monitoring, and accountability
  • Advocate for FinOps best practices across the organization, educating teams on cost implications of design and operational decisions
  • Fulltime
Read More
Arrow Right

Cloud Financial Operations Engineer

The FinOps Analyst / FinOps Practitioner serves as a core member of the centrali...
Location
Location
United States , Morristown; Boston; St. Petersburg; St. Louis; Atlanta
Salary
Salary:
105000.00 - 133000.00 USD / Year
zelis.com Logo
Zelis
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience in FinOps, cloud financial management, cloud cost optimization, or cloud financial analysis
  • Hands-on experience with AWS and Azure cloud platforms and their billing and pricing models
  • Strong understanding of consumption-based cloud economics and commitment discount models
  • Proven ability to work cross-functionally with engineering, finance, and leadership teams
  • Strong analytical, financial modeling, and problem-solving skills
Job Responsibility
Job Responsibility
  • Analyze, monitor, and report on cloud usage and spend across AWS and Azure environments
  • Develop and maintain standardized cost allocation models using tagging, accounts, subscriptions, and cost centers
  • Produce operational, leadership, and executive-level reporting on cloud spend, trends, and unit economics
  • Own cloud cost forecasting processes and track variance against budgets and financial targets
  • Identify and drive optimization opportunities including rightsizing, Reserved Instances, Savings Plans, Azure Reservations, spot usage strategies, storage tiering, and remediation of idle resources
  • Partner with cloud architects and engineering teams to prioritize and implement cost optimization initiatives
  • Track realized vs potential savings using FinOps KPIs and maturity metrics
  • Define and enforce FinOps governance standards including tagging policies, budget guardrails, and cost allocation rules
  • Implement and manage anomaly detection and alerting for unexpected cost behavior
  • Support audit readiness and financial controls related to cloud spend and governance
What we offer
What we offer
  • 401k plan with employer match
  • flexible paid time off
  • holidays
  • parental leaves
  • life and disability insurance
  • health benefits including medical, dental, vision, and prescription drug coverage
  • Fulltime
Read More
Arrow Right

Elastic Compute Architect, Senior Director (IC)

At Teradata, we believe that people thrive when empowered with better informatio...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of progressive experience in cloud infrastructure or distributed systems engineering, including 5+ years in a senior architectural or engineering leadership role
  • Proven track record of setting multi-year technical strategy for large-scale, commercially deployed cloud platforms with global enterprise customers
  • Deep knowledge of elastic compute architectures—autoscaling, multi-cloud resource management, containerization, and workload scheduling—at petabyte and petaflop scale
  • Experience driving AI-powered productivity initiatives within engineering organizations, including measurable outcomes from AI tool adoption programs
  • Exceptional executive communication and stakeholder management skills, with a demonstrated ability to influence at the C-suite and Board level
  • Prior experience as a chief architect or distinguished engineer at a cloud infrastructure company, major database vendor, or hyperscaler
  • Familiarity with Teradata Cloud architecture, MPP systems, or enterprise data warehousing platforms
  • Experience managing globally distributed architecture teams and operating across cultural and time zone boundaries
  • Background in FinOps, cloud cost governance, or commercial engineering (understanding how compute cost flows to product pricing)
  • A track record of building AI-forward engineering cultures—where teams routinely use AI assistants, automated code review, and AI-generated documentation as standard practice
Job Responsibility
Job Responsibility
  • Own the long-range architectural roadmap for elastic compute across the Teradata Cloud platform, including dynamic resource provisioning, multi-tenant workload isolation, and adaptive query scheduling for AI and analytics workloads
  • Lead a team of Senior Staff and Staff Architects, setting technical standards, driving design reviews, and cultivating a culture of engineering excellence and continuous improvement
  • Partner with CPO and ELT-1 engineering leaders to align elastic compute investments with Teradata's Artemis, Agentic Platform, and MCP Integration product priorities
  • Represent Core Platform architecture in executive and customer-facing forums
  • articulate compute strategy to Board-level audiences, enterprise accounts, and strategic partners
  • Drive a 10x productivity agenda across the architecture function through structured AI tool adoption—including AI-assisted design review, generative documentation, and automated performance regression analysis
  • Define the talent and capability model for the elastic compute architecture discipline
  • partner with Talent Acquisition to attract, assess, and onboard world-class architects globally
  • Establish governance frameworks, architectural review boards, and cross-functional working groups to ensure elastic compute decisions are made with speed and rigor
  • Identify and manage technical debt, platform risk, and capacity planning across the compute layer
  • Fulltime
Read More
Arrow Right