Founding Data & AI Engineer at MatrixCloud
Company Overview
MatrixCloud (www.matrixcloud.io) specializes in:
- AI-native computing
- AI-powered observability
- Kubernetes orchestration
- Scalable enterprise-grade data engineering
We deliver innovative frameworks, platforms, and consulting services to achieve digital transformation through AI and Cloud-native solutions.
Location
San Francisco Bay Area (Hybrid - 3 days RTO)
Role Overview
Seeking a passionate and talented Founding Data & AI Engineer to:
- Contribute to design, construction, and scalability of AI-native data platforms.
- Influence strategic technical decisions.
- Drive core technology development.
Key Responsibilities
- Architect, build, and manage large-scale data ingestion pipelines, especially with OpenTelemetry (OTEL).
- Lead creation of robust streaming and batch data pipelines.
- Design feature engineering workflows (extraction, transformation, validation).
- Develop and refine Enterprise Data Models for analytics, observability, and AI.
- Oversee data labeling strategies for high-quality ML/AI data.
- Develop, test, and deploy scalable ML/AI models.
- Promote best practices in data engineering, ML operations, and AI observability.
Your Story
You bring:
- 5+ years building scalable data ingestion pipelines handling petabytes of data in hybrid cloud environments.
- Deep expertise in OpenTelemetry, distributed tracing, observability.
- 2+ years in feature engineering, data labeling, ML lifecycle management.
- Extensive experience with Kafka, Spark, Flink, Airflow.
- Skills in architecting enterprise data models using ETL/ELT.
- Proficiency with AWS, Azure, GCP, Kubernetes.
- 5+ years coding in Python, SQL; familiar with TensorFlow, PyTorch.
- Entrepreneurial and analytical mindset, thrive in startups.
Why Join MatrixCloud?
- Influence pioneering AI-native solutions and guide organizations toward a $15T AI economy (by 2030).
- Work with a team passionate about AI, observability, cloud, and data engineering.
- Enjoy a collaborative, inclusive culture and career growth.
- Competitive compensation, flexible work, and equity.
Equal Opportunity
MatrixCloud is committed to diversity and inclusion. No visa sponsorship available for this role.
Apply today and be a foundational member of the AI-native revolution!
Job Highlights
- Qualifications:
- 5+ years in data pipelines, petabyte handling, hybrid cloud.
- Expertise in OTEL, observability.
- 2+ years in ML lifecycle, feature engineering, data labeling.
- Hands-on with Kafka, Spark, Flink, Airflow.
- Skilled in Enterprise Data Models, ETL/ELT.
- Cloud proficiency: AWS, Azure, GCP, Kubernetes.
- 5+ years Python, SQL; TensorFlow, PyTorch familiarity.
- Entrepreneurial, innovative, analytical.
- Benefits:
- Lead advances in AI-native solutions guiding towards a $15T economy.
- Competitive pay, flexible work, equity.
- Responsibilities:
- Design and build data platforms.
- Influence technology evolution.
- Manage data pipelines.
- Develop ML models.
- Promote best practices.