We are hiring for one of our ecosystem projects. They are a high-performance data indexing and visualization platform designed to provide users with unmatched query speed and intuitive visualization at an efficient cost. They leverage its superior data extraction methodologies and database level innovations to achieve both speed and efficiency.

The role

We are looking for a Tech Lead, you will be responsible for overseeing the development and deployment of our data backend systems. The ideal candidate will have a strong foundation in system architecture, extensive experience handling large volumes of data, and a deep understanding of the technologies that drive modern data solutions.

In This Role, You Will

• Design, develop, and deploy the data backend system.
• Architect scalable and robust data solutions to handle large datasets efficiently.
• Collaborate with cross-functional teams to define and implement data strategies that align with business goals.
• Ensure high availability, reliability, and performance of data systems.
• Drive best practices in software development, testing, and deployment.
• Evaluate and integrate new technologies and tools to enhance system capabilities.
• Manage project timelines and deliverables, ensuring alignment with organizational objectives.
• Foster a culture of innovation, collaboration, and continuous improvement within the engineering team.
• Implement automated testing and establish continuous integration/continuous deployment (CI/CD) pipelines.
• Participate in architectural and technical decision-making to improve system architecture and processes.
  
  

You Might Thrive In This Role If You Have

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in software engineering, with a focus on data backend systems.
• Proven experience in system architecture and deployment of large-scale data solutions.
• Strong programming skills, with experience in Python and Rust.
• Proficiency in database technologies (SQL, NoSQL) and data processing frameworks.
• Knowledge of cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
• Creating and managing data infrastructure (ideally using Terraform)
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong leadership and communication skills, with a track record of mentoring engineering talent.

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