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Ref: #65112

Staff Data and Infrastructure Engineer

  • Practice Data

  • Technologies Business Intelligence Jobs and Data Recruitment

  • Location New York, United States

  • Type Permanent

Summary Description: 

A Next Ventures client is seeking a Staff Level Data Engineer with infrastructure experience.

 

As a leader on the Data & Infrastructure team, you will design, build, and maintain the scalable infrastructure that supports AI research and products. In addition to architecting systems to handle large-scale data and computation, you will play a critical role in shaping our engineering culture and growing the early engineering team.

 

This role offers the opportunity to collaborate closely with co-founders and the head of engineering to define the vision for company infrastructure and ensure systems meet both internal and customer needs.


Role Type: Perm

Start Date: Immediate

Salary: 200,000 - 300,000 USD Annually 

Location/Language: NYC 5 days onsite, English

Requirements Description:
  • 5-10 years of designing and building data and/or core infrastructure; open to exceptional candidates with fewer years and evidence of exceptional ability
Tasks Description: 
  • Define and own the vision for data and infrastructure, ensuring alignment with business and product goals.
  • Architect and implement scalable server infrastructure to meet customer demands and internal requirements.
  • Build and optimize ETL pipelines for efficient data movement, transformation, and storage.
  • Design and configure systems for optimal scaling, performance, and fault tolerance.
  • Develop alerts and monitoring systems to ensure reliability and proactively identify issues.
  • Collaborate with cross-functional teams, including product managers, researchers, and co-founders, to align infrastructure priorities.
  • Foster a strong engineering culture and mentor early team members as the team scales.

Essential Skills/Experience Description:
  • Infrastructure Design and Scaling:
  • Proven experience designing scalable, fault-tolerant systems for large-scale data processing and real-time applications.
  • Expertise in server architecture and configuration for high availability and scalability.

 

  • Data Engineering:
  • Proficiency in building ETL pipelines using modern tools like Apache Airflow, dbt, or similar frameworks.
  • Experience with distributed data systems (e.g., Kafka, Spark, Hadoop) for batch and real-time processing.

 

  • Cloud Platforms:
  • Deep knowledge of cloud services (e.g., AWS, GCP, or Azure), including compute, storage, and networking components.
  • Hands-on experience with containerization and orchestration (e.g., Docker, Kubernetes).

 

  • Monitoring and Reliability:
  • Familiarity with observability tools such as Prometheus, Grafana, and the ELK stack for performance monitoring.
  • Experience setting up automated alerts and self-healing mechanisms for production systems.

 

  • Programming and Automation:
  • Strong programming skills in Python, Go, or a similar language, with a focus on building maintainable, production-grade systems.
  • Expertise in Infrastructure-as-Code tools (e.g., Terraform, CloudFormation) for managing cloud infrastructure.
Desirable Skills/Additional Information Description: 
  • Experience working in fast-paced startup environments, ideally with early-stage teams.
  • Familiarity with AI/ML infrastructure requirements, such as distributed training or model serving pipelines.
  • A track record of mentoring engineers and helping shape technical culture within a growing team.

Team Contact: matt.gomez@next-ventures.com
 
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