finops jobs in San Diego

The Cloud Optimization Engineer – FinOps will manage hybrid cloud spend across private and public cloud environments, using Flexera to monitor costs and deliver monthly reporting and dashboards to stakeholders. The role involves analyzing cloud architectures and workload patterns to identify cost drivers, building and automating data pipelines and cost models, and implementing cost optimization actions such as rightsizing and reservations.…See more You will collaborate hands-on with engineering teams, develop forecasting models, enforce tagging and governance standards, and drive FinOps best practices across the organization. The position requires 5+ years of FinOps and cloud financial management experience, proficiency in Azure or GCP, and advanced skills in Excel, SQL, Python, and PowerShell.

Staff-level data analyst leading the modernization of financial and operational data platforms across Intuit's Dev360 team. Serves as the primary liaison between business stakeholders and engineering, translating strategy into data requirements while surfacing technical constraints and trade-offs.…See more Owns data integrity standards, designs scalable self-service analytics capabilities, and mentors a growing team of analysts while setting delivery and technical standards.

The Enterprise AI FinOps Lead establishes financial governance for company-wide AI usage across multi-cloud (Azure, AWS, GCP), SaaS, and on-premise environments. The role owns cost visibility, show-back, optimization, budgeting, forecasting, and stakeholder engagement, with deep responsibility for AI-specific cost drivers such as tokens, models, prompts, embeddings, and RAG systems.…See more The leader translates telemetry into actionable insights, optimization programs, and executive reporting while managing the full departmental budget. This is a hands-on operator role requiring 8+ years in FinOps, cloud cost management, or enterprise finance, with strong analytical, stakeholder management, and executive communication skills.

Sr Manager leading a team of Platform Engineers/DataOps analysts to architect, deploy, and manage enterprise-scale Databricks Unity Catalog across dev/test/production environments. Responsibilities span platform governance, fine-grained access control (RBAC/ABAC), workspace automation via Terraform, CI/CD pipeline design (GitHub Actions, Azure DevOps, GitLab CI), FinOps optimization, and incident management for critical data infrastructure.…See more Requires 10+ years in data operations/platform engineering with 5+ years as a lead Databricks administrator, deep expertise in Unity Catalog governance, cloud security (IAM, VPC/VNet, compliance), and proficiency in Python, PySpark, and SQL.

The MLOps Engineer II designs, develops, and operates scalable machine learning infrastructure and deployment pipelines on AWS, working with data scientists and cloud engineers to productionize ML models. Responsibilities include building ML pipelines using SageMaker, Lambda, Step Functions, and S3; implementing CI/CD pipelines with GitHub and AWS tools; developing Infrastructure-as-Code using CloudFormation, Terraform, or AWS CDK; and ensuring production ML systems are reliable, secure, and cost-efficient.…See more The role requires strong Python coding skills, hands-on AWS experience, production ML deployment experience, and the ability to independently implement technical solutions. Candidates will also lead FinOps optimization, implement monitoring and alerting, ensure security and compliance, and mentor junior engineers.

Staff IT Cloud Engineer at Qualcomm responsible for designing, implementing, and operating enterprise cloud environments across AWS, OCI, and Azure. Establish CI/CD/GitOps operating models, manage Kubernetes platforms, drive cloud governance and FinOps practices, and mentor engineers on infrastructure modernization and platform reliability.…See more Requires 10+ years of cloud/DevOps experience with advanced Terraform, Kubernetes, and enterprise cloud platform expertise; strong hands-on background in AWS, OCI, or Azure with deep understanding of cloud networking, security, and observability.

Design and build platform engineering infrastructure, tools, and automation for cloud-native environments on AWS, using Infrastructure as Code (Terraform/CDK), CI/CD, and observability practices. Develop reusable modules, APIs, CLIs, and service templates that improve developer experience and enforce security, compliance, and cost controls.…See more Establish monitoring, logging, alerting, SLOs, and incident response practices; participate in 24x7 on-call rotation with a focus on production reliability and automation. Requires 7+ years in DevOps, SRE, platform engineering, or cloud operations with deep hands-on experience in multi-account AWS setups, GitOps, and observability platforms like Datadog or Prometheus.

AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles.…See more Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.

Lead enterprise Azure cloud platform strategy and operations for a financial services firm, overseeing compute, storage, networking, containers, and disaster recovery capabilities. Drive adoption of cloud-native architectures, managed services, and Azure AI/OpenAI to improve engineering productivity.…See more Manage cloud governance, security compliance, FinOps practices, and cost optimization across the organization. Serve as senior escalation point and strategic partner with Microsoft, using Jira and ServiceNow to coordinate delivery and service management.