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NobleAI

👥 11-50💰 $17,677,000 Series A almost 2 years agoArtificial Intelligence (AI)Oil and GasSustainabilityChemicalMachine LearningBatteryAdvanced MaterialsEnterprise SoftwareConsumer GoodsSoftware
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NobleAI is dedicated to accelerating the development of chemical and material products through its innovative Science-Based AI technology and user-friendly NobleAI Reactor Platform, enabling companies to innovate more efficiently and sustainably.

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Jobs at this company:

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🔥 Lead Analytics Data Engineer
Posted 11 days ago

📍 Mexico

🔍 Artificial Intelligence, Energy, Material Science, Chemistry

  • BSc Degree in Computer Science, Engineering, or a related field.
  • 5+ years of data and software engineering experience, particularly in Python, Flask, Django, Dash, and Spark.
  • 2+ years of experience with cloud platforms, specifically AWS or Azure.
  • 5+ years of experience with database technologies like Postgres, Hive, Snowflake, Databricks, Redshift, BigQuery, and Athena.
  • 3+ years of experience in constructing data pipelines and features for analytics models.

  • Lead feature development to completion while adhering to engineering quality and best practices.
  • Break features into independent tasks/stories and provide design and estimation.
  • Ensure that delivered artifacts (code, architecture) are well-tested and documented.
  • Evaluate implementation options and communicate their impacts on cost, performance, timing, and effort.
  • Stay informed on market trends in technology and architecture, proposing relevant solutions.
  • Collaborate with peers and mentor junior members.
Posted 11 days ago
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🔥 Lead DevOps Data Engineer
Posted 11 days ago

📍 Mexico

🧭 Full-Time

🔍 Energy, Material Science, Chemistry, AI technology

  • BSc Degree in Computer Science, Engineering or related field.
  • 5+ years working in DevOps or Data Engineering for enterprise software applications.
  • 3+ years of experience with cloud platforms (AWS, Azure, GCP).
  • 3+ years of experience in containerization and orchestration tools (Docker, Kubernetes).
  • 5+ years of experience with databases and platforms (Postgres, Hive, Snowflake, Databricks, Redshift, BigQuery, Athena).
  • 3+ years of experience in building data pipelines and analytics features.

  • Design, build, and maintain scalable and resilient data pipelines and workflows following engineering best practices.
  • Implement data storage and processing solutions using cloud technologies (e.g., AWS, Azure, GCP).
  • Develop CI/CD pipelines to automate deployment and testing of data applications.
  • Troubleshoot and resolve issues across infrastructure and data pipelines.
  • Collaborate with software engineers, data engineers, and research scientists to support their data needs.
  • Propose solutions based on technology market trends and articulate implementation details.
Posted 11 days ago
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🔥 Principal Security & DevOps Engineer
Posted 11 days ago

📍 United States

💸 180000.0 - 220000.0 USD per year

🔍 Artificial Intelligence, Energy, Material Science, Chemistry

  • BSc Degree in Computer Science, Engineering or a related field.
  • 10+ years of industry experience in building data-intensive software and platforms.
  • 5+ years of experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • 5+ years of Python programming experience and building scalable data services.
  • Proficiency in modern software development lifecycle practices and CI/CD.
  • Deep understanding of cloud security architecture and tools.
  • Exceptional communication skills with a proven ability to communicate complex technical details.

  • Lead the delivery of storage and processing infrastructure through standardization, automation, and containerization.
  • Align with Data, AI, Backend Services, and Frontend teams to provide automation and CI/CD standards.
  • Set the direction for engineering architecture and best practices.
  • Define design, testing, and documentation criteria for engineering deliverables and provide reviews.
  • Guide the team in problem-solving, design solutions, and make implementation plans.
  • Communicate risks and propose mitigation options for product delivery.

AWSDockerPythonGCPKubernetesAzureCI/CDDevOps

Posted 11 days ago
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