Principal Infrastructure Engineer

February 2

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unstructured.io

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We get your data LLM-ready. #ETLforLLMs

nlp • natural language processer • data • unstructured • LLM

11 - 50

Description

• Unstructured.io is a cutting-edge technology company at the forefront of developing innovative solutions for processing and extracting insights from unstructured data. Our mission is to empower businesses with actionable intelligence derived from text, images, and other unstructured sources. As we continue to grow, we are seeking a results-oriented Staff Infrastructure Engineer to contribute significantly to our Unstructured platform. We are looking for an experienced Staff Infrastructure Engineer with proven experience architecting, deploying and managing services and infrastructure in cloud environments. • Key Responsibilities: - State of the Art Systems Design: Engage in the development of cutting-edge Kubernetes-driven infrastructure. Your expertise will not only enhance existing services but also pave the way for novel solutions, ensuring our production environment remains robust, scalable, and sustainable. - Software Engineering: Roll up your sleeves and make contributions to products or internal tools that power our operations. - Technical Leadership: Your role as a senior figure in the team will see you steering technical projects, guiding them from conception to completion with your seasoned expertise.

Requirements

• Qualifications: - Bachelor's or advanced degree in Computer Science, Engineering, or a related field. Advanced degree preferred. - Proven experience (12+ years) in software engineering. - Proven experience (3+ years) deploying solutions on kubernetes. - Experience with Infrastructure as Code such as Terraform or Pulumi. - Strong analytical and problem-solving skills. - Excellent programming skills and debugging skills. Including experience with Python, Bash, as well as Cloud services, and Linux. - Ability to multitask effectively in a dynamic environment. - Demonstrated ability in visualizing and analyzing the outputs of vision and generative models, identifying areas for improvement

Benefits

• Opportunity to lead a dynamic team and work on cutting-edge machine learning projects. • Collaborative and innovative work environment with a focus on learning and growth. • Impactful role in shaping the company's technical direction and driving innovation in unstructured data processing. • Competitive compensation package, including benefits and stock options.