Una candidatura completa en un minuto
Currículum y carta de presentación personalizados, listos para enviar.
Scale AI is seeking a Staff Software Engineer to orchestrate vertical features and horizontal capabilities while mentoring engineers in requirements gathering with stakeholders. You will drive architectural consistency across the Federal engineering team and shape technical strategy for guardrails, explainability, and fleet orchestration.
You will ensure reliability and performance across diverse security classifications and network types, while influencing the long-term product roadmap for the
Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial
Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles