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Requirements:
**Who We're Looking For:**
- A seasoned Data Engineer with deep understanding of data modeling and massive parallel processing.
- Someone experienced in bringing Machine Learning capabilities into large-scale production systems.
- An individual with experience at a cutting-edge startup.
- A passionate builder of data infrastructures for advanced AI systems.
- A team player with excellent collaboration and communication skills.
- Someone with a "can-do" approach to problem-solving.

**Requirements:**
- 3+ years of experience building massive parallel processing solutions (e.g., Spark, Presto).
- 2+ years of experience developing real-time stream processing solutions (e.g., Apache Kafka, Amazon Kinesis).
- 2+ years of experience developing ML infrastructures for production (e.g., Kubeflow, Sagemaker, Vertex).
- Experience orchestrating containerized applications in AWS and GCP using EKS and GKE.
- 3+ years of experience writing production-grade Python code.
- Experience working with both relational and non-relational databases.
- 2+ years of experience administering and designing cloud-based data warehousing solutions (e.g., Snowflake, Amazon Redshift).
- 2+ years of experience working with unstructured data, complex data sets, and data modeling.

Requirements:
**Who We're Looking For:**
- A visionary architect with a passion for creating cutting-edge software solutions at scale.
- An experienced technologist with a deep understanding of AI-driven systems and cloud architecture.
- A strategic thinker who can balance innovation with practicality in system design.

**Requirements:**
- 3+ years of experience in a similar role, with a proven track record of architecting complex software systems.
- Strong knowledge of microservices-based architecture and cloud-native application design.
- Extensive experience in UNIX/Linux system administration and deep understanding of system-level concepts.
- 2+ years of experience with CI/CD processes and tools (e.g., Jenkins), focusing on automating software delivery pipelines.
- 1+ years of experience with container technologies (Docker, Kubernetes) for building and deploying scalable microservices.
- 1+ years of experience in NoSQL database administration, particularly MongoDB, and proficiency in database management.
- Familiarity with system monitoring tools like Datadog for ensuring infrastructure health and performance.
- Demonstrated experience working with AI products, including design, implementation, and deployment of AI technologies.
- Strong knowledge of cloud security practices and data security protocols
- Proficiency in at least one programming language commonly used in system architecture (e.g., Python, Go, Java).
- Experience with GCP services and best practices for cloud architecture.
- Excellent communication skills to collaborate with both technical and non-technical stakeholders.
- Ability to mentor team members and contribute to the overall technical strategy of the company.