Staff Software Engineer developing scalable backend systems and APIs for Cloudera's Anywhere Cloud team. Driving performance and reliability in Kubernetes-based services while mentoring engineers and optimizing processes.
Responsibilities
Architect, build, and improve scalable backend systems and APIs.
Drive performance, reliability, and security across kubernetes based 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.
Requirements
8+ years of software engineering experience building large-scale distributed production systems;
Expertise in at least one primary language (Go preferred) and ecosystem (eg: Rust) and cloud-native architectures (containers, service mesh, queues, eventing).
Familiarity with the AI/ML ecosystem: You understand the fundamentals of LLMs, vector databases, RAG, and prompt engineering.
Familiarity with tools such as MLflow, LangChain, or Hugging Face is a significant advantage.
Security & privacy mindset: Familiarity with data governance, PII handling, tenant isolation, and compliance considerations.
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