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Senior Staff Full Stack Software Engineer

Spain, Remote · Job Posted January 26, 2026
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Job Description

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Ready to take cloud innovation to the next level? Join Cloudera’s Anywhere Cloud team and help deliver a true “build your own pipeline, bring your own engine” experience. enabling data and AI workloads to run anywhere, without friction or vendor lock-in. We take the best of the public cloud- cost efficiency, scalability, elasticity, and agility and extend it to wherever data lives: public clouds, private data centers, and even the edge. Powered by Kubernetes, our hybrid architecture separates compute and storage, giving customers maximum flexibility and optimized infrastructure usage. We are looking for a Senior Staff Full Stack Software Engineer to lead the architecture and delivery of AI-powered workflows that are core to our product. You will define the technical strategy, set quality and reliability standards, and deliver end-to-end systems that transform ambiguous customer needs into robust, measurable, and privacy-safe AI experiences. You’ll partner closely with Product, Design, Data Science, and GTM to deliver high-impact features at scale.

Job Responsibility

  • Own the architecture: Design, evolve, and document the end-to-end AI workflow stack
  • Ship production systems: Build reliable, low-latency services that integrate foundation models and traditional microservices
  • Own end-to-end delivery of features from the user-facing aspect (UI) to the backend services
  • Implement robust testing frameworks
  • Establish safety guardrails and human-in-the-loop processes
  • Optimize for cost & performance: Instrument, analyze, and optimize unit economics and performance
  • Drive data excellence: Shape data contracts, feedback loops, labeling strategies, and feature stores
  • Mentor and multiply: Provide technical leadership, unblock complex projects, raise code/design standards, and mentor senior engineers
  • Partner across functions: Translate product intent into technical plans, influence roadmaps, and communicate trade-offs

Requirements

  • Bachelor’s degree in Computer Science or equivalent
  • 6+ years of experience
  • Expertise in at least one primary language (Rust preferred) and ecosystem (e.g., Python, Go, or Java)
  • Expertise in cloud-native architectures (containers, service mesh, queues, eventing)
  • Proven experience in integrating AI/ML models into user interfaces
  • Familiarity with the AI/ML ecosystem (fundamentals of LLMs, vector databases, RAG, and prompt engineering)
  • Familiarity with tools such as MLflow, LangChain, or Hugging Face
  • Security & privacy mindset (familiarity with data governance, PII handling, tenant isolation, and compliance considerations)

Nice to have

  • Platform thinking (experience designing reusable AI workflow primitives, SDKs, or internal platforms)
  • Model ops (experience with model lifecycle management, feature/embedding stores, prompt/version management, and offline/online eval systems)
  • Search & data infra (experience with vector databases, retrieval strategies, and indexing pipelines)
  • Observability (built robust tracing/metrics/logging for AI systems
  • familiarity with quality dashboards and prompt diff tooling)
  • Cost strategy (experience with model selection, distillation, caching layers, router policies, and autoscaling)
  • Experience with managing machine learning workloads on container orchestration platforms like Kubernetes

What we offer

  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups

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