Cloudera - Senior Software Engineer - Full Stack

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 worlds largest enterprises.

Ready to take cloud innovation to the next level? Join Clouderas 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 cloudcost 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.

Were seeking a Senior Full Stack Software Engineer to lead the architecture and delivery of AI-powered workflows that are integral 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.

Youll partner closely with Product, Design, Data Science, and GTM to deliver high-impact features at scale.

What Youll Do :

• Own the architecture : Design, evolve, and document the end-to-end AI workflow stack (prompting, retrieval, tools / function-calling, agents, orchestration, evaluation, observability, and safety) with clear interfaces, SLAs, and versioning.
• Ship production systems : Build reliable, low-latency services that integrate foundation models (hosted and self-hosted), and traditional microservices.
• Own end-to-end delivery of features from the user-facing aspect (UI) to the backend services.
• Implement robust testing frameworks, including unit, regression, and end-to-end tests, to guarantee deterministic and predictable behavior from our AI-powered data platform.
• Establish safety guardrails and human-in-the-loop processes to maintain accuracy and ensure the production of ethical, responsible, and non-toxic outputs.
• Optimize for cost & performance : Instrument, analyze, and optimize unit economics (token usage, caching, batching, distillation) and performance (p95 latency, throughput, autoscaling).
• Drive data excellence : Shape data contracts, feedback loops, labeling strategies, and feature stores to continuously improve model and workflow quality.
• Mentor and multiply : Provide technical leadership across teams, unblock complex projects, raise code / design standards, and mentor senior engineers.
• Partner across functions : Translate product intent into technical plans, influence roadmaps with data-driven insights, and communicate trade-offs to executives and stakeholders.

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(ref : hirist.tech)