Cloudera is a leading enterprise data cloud company dedicated to transforming complex data into clear, actionable insights. Serving top organizations across various industries, Cloudera manages an extensive volume of data comparable to hyperscalers, positioning itself as a preferred data partner for enterprise digital transformation initiatives. Powered by the innovation of the open-source community, Cloudera continuously advances solutions that enable organizations to harness the full potential of their data. The company's focus on open source, combined with its robust platform offerings, empowers businesses to build scalable, secure, and efficient data architectures that support AI, analytics, and data management at scale.
About The Role
We are seeking a highly skilled Staff Full Stack Software Engineer to join Cloudera’s Anywhere Cloud team. In this strategic role, you will lead the architecture and delivery of AI-powered workflows that are central to our product offerings. Your responsibilities will include defining the technical strategy, establishing quality and reliability standards, and delivering comprehensive end-to-end systems. These systems will transform ambiguous customer needs into robust, privacy-safe AI experiences that are scalable and impactful. Collaborating closely with cross-functional teams including Product, Design, Data Science, and Go-To-Market, you will drive the development of high-impact features that enable our customers to leverage AI and data workflows seamlessly across hybrid cloud environments. Your expertise will help shape the future of cloud-native AI solutions, emphasizing flexibility, performance, and security.
Qualifications
- Bachelor's degree in Computer Science or related field
- 6+ years of professional experience in software engineering
- Proficiency in at least one primary programming language such as Rust (preferred), Python, Go, or Java
- Experience with cloud-native architectures including containers, service mesh, queues, and event-driven systems
- Strong background in integrating AI/ML models into user interfaces, including building AI-powered assistants, natural language interfaces, and intelligent visualization features
- Familiarity with AI/ML ecosystem tools such as MLflow, LangChain, Hugging Face, and knowledge of LLMs, vector databases, RAG, and prompt engineering
- Understanding of data governance, privacy, and security best practices, including PII handling and tenant isolation
- Experience managing machine learning workloads on Kubernetes, including GPU resource management and distributed training
- Design, evolve, and document the end-to-end AI workflow stack, including prompting, retrieval, tools/function-calling, agents, orchestration, evaluation, observability, and safety mechanisms
- Develop reliable, low-latency production systems that integrate foundation models (hosted and self-hosted) with traditional microservices
- Own the full lifecycle of feature delivery, from UI development to backend service implementation
- Implement comprehensive testing frameworks such as unit, regression, and end-to-end tests to ensure deterministic AI system behavior
- Establish safety guardrails and human-in-the-loop processes to maintain ethical standards and prevent toxic outputs
- Optimize system performance and cost-efficiency through instrumentation, analysis, and tuning of token usage, caching, batching, and autoscaling
- Shape data contracts, feedback loops, labeling strategies, and feature stores to enhance model and workflow quality
- Provide technical leadership, mentor team members, unblock complex projects, and promote high coding and design standards
- Collaborate with cross-functional teams to translate product needs into technical solutions, influence roadmaps, and communicate trade-offs to stakeholders
- Generous Paid Time Off policy and support for work-life balance through Unplugged Days
- Flexible remote work arrangements and work-from-home policies
- Mental and physical wellness programs to support employee health
- Reimbursement programs for phone and internet expenses
- Access to continuous career development and learning opportunities
- Comprehensive benefits packages including health, dental, and vision insurance
- Paid volunteer time to encourage community engagement
- Participation in Employee Resource Groups fostering diversity and inclusion
Cloudera is an equal opportunity employer committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected status. We welcome applications from diverse candidates and ensure fair hiring practices across our organization.
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