Full Stack Software Engineer

About The Company
Cloudera is a leading enterprise data platform provider committed to transforming complex data into clear, actionable insights. Serving some of the world's largest organizations across various industries, Cloudera empowers businesses to harness the full potential of their data assets. Our platform is powered by open source innovation and focuses on enabling digital transformation through scalable, secure, and flexible data solutions. With a strong emphasis on hybrid cloud architectures, we extend the benefits of public cloud scalability, elasticity, and cost-efficiency to private data centers and edge environments. Our commitment to innovation and excellence makes us a trusted partner for enterprises seeking to leverage data and AI for strategic advantage.

About The Role
We are seeking a highly skilled Staff Full Stack Software Engineer to join Cloudera's Anywhere Cloud team. In this pivotal role, you will lead the architecture and delivery of AI-powered workflows that are core to our product offerings. Your expertise will help define the technical strategy, set standards for quality and reliability, and deliver comprehensive end-to-end systems that convert ambiguous customer needs into robust, measurable, and privacy-safe AI experiences. You will collaborate closely with cross-functional teams including Product, Design, Data Science, and Go-To-Market to develop and deploy high-impact features at scale. Your role will involve designing scalable AI workflow architectures, integrating foundation models, and optimizing system performance and cost-efficiency, all while ensuring ethical and responsible AI deployment.

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 (preferably Rust, Python, Go, or Java)
• Experience with cloud-native architectures including containers, service mesh, queues, and event-driven systems
• Hands-on experience integrating AI/ML models into user interfaces, including AI assistants, natural language interfaces, and intelligent visualizations
• Knowledge of the AI/ML ecosystem: LLMs, vector databases, RAG, prompt engineering, and tools such as MLflow, LangChain, or Hugging Face
• Understanding of data governance, privacy, and security best practices, including PII handling and compliance
• Experience managing machine learning workloads on Kubernetes, including GPU resource management, distributed training, and model deployment

Responsibilities

• Design, evolve, and document the end-to-end AI workflow architecture, including prompting, retrieval, tools/function-calling, agents, orchestration, evaluation, observability, and safety
• Build and maintain reliable, low-latency production systems that integrate foundation models and microservices
• Own the full lifecycle of feature delivery, from user interface to backend services
• Implement comprehensive testing frameworks—unit, regression, and end-to-end—to ensure deterministic and predictable AI system behavior
• Establish safety guardrails, human-in-the-loop processes, and ethical guidelines to produce accurate and non-toxic outputs
• Optimize system performance and cost-efficiency through instrumentation, analysis, caching, batching, and autoscaling strategies
• Shape data contracts, feedback mechanisms, labeling strategies, and feature stores to enhance model and workflow quality
• Provide technical leadership, mentor engineering teams, and promote high coding and design standards
• Collaborate with cross-functional teams to translate product requirements into scalable technical solutions and influence product roadmaps

Benefits

• Generous Paid Time Off (PTO) policy and unplugged days to support work-life balance
• Flexible work-from-home arrangements
• Comprehensive wellness programs for mental and physical health
• Reimbursement for phone and internet expenses
• Opportunities for ongoing career development and training
• Competitive salary packages and benefits
• Paid volunteer time to encourage community engagement
• Access to Employee Resource Groups fostering diversity and inclusion

Equal Opportunity

Cloudera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected status. All qualified applicants will receive consideration for employment without regard to any protected characteristic.