Data Management Team Lead

What does dataloop do?

Dataloop AI is on a mission to build an all-in-one platform for AI/GenAI lifecycle management. Specializing in unstructured data, Dataloop’s platform enables advanced data management and querying mechanisms, model management, annotation tools for almost any type of data, MLOps tools, and data pipelines to orchestrate it all for development and production needs. With its one-of-a-kind ML applications marketplace, companies of every size can easily deploy AI/GenAI solutions to production.

About the position:

We’re growing and we need experienced engineers to help us grow faster and better. Most of the work is expected to be backend, but a very unique and complex one. There are scale & performance challenges to tackle and the development of innovative and exciting tools.

You will be responsible for leading a team of 5-6 developers at the core platform capabilities, and collaborate with Product, Architecture, Operation and Customer success teams. You will have an e2e responsibility for design implementation and quality; Educate and support team members technical and career growth objectives through training, leadership development, opportunities, challenges and mentorship; Be responsible for the overall planning, execution, and success of complex technical projects.

Requirements:

• 10+ years of experience in software engineering
• 4+ years of experience leading a cross-functional & offshore team
• 5+ years of experience developing node.js services
• 4+ years of working with SQL DBs
• 4+ years of working with Kafka/RabbitMQ
• Proven track record developing large-scale solutions, including software design and development, database architectures, security, and performance tuning
• Experience with iterative or Agile methodologies and techniques; Scrum, Kanban, or Lean-based approaches to software delivery
• Strong debugging, analytical and problem-solving skills
• Adherence to coding standards and attention to efficiency

Advantage:

• Working in BigData production environment
• Experience with docker/container & K8S
• Experience with TDD