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Published over 2 years ago
Responsibilities & more
🚀 We are helping an Innovation Lab in hospitality tech, find a Senior Database Engineer for their 100% remote team. Build AI-powered chat systems at scale, automate with Terraform, and optimize AWS environments.
This Innovation Lab is a collective of talented entrepreneurs and technologists collaborating with startups and large organizations to create exceptional products. Their goal is to make a lasting impact on the communities they serve by producing high-quality products. Instead of working for an employer, you will be part of a collective that values both individual growth and the team. They offer unlimited opportunities for learning and growth in a work environment that supports these ideals.
📌 Benefits
- 100% Remote.
- Crypto payment optional.
- Become a Nexton Technical - Interviewer (optional, additional compensation).
📌 Requirements
- A Bachelor's or higher degree in Computer Science, Data Science, Software Engineering, or a related field.
- Demonstrable experience as a Data Engineer, with a focus on working with AWS and AI/ML systems.
- Experience with modern data platform tools such as Airbyte, dbt, Snowflake.
- Experience with automating manual processes, particularly on Terraform.
- Deep knowledge of SQL and NoSQL databases, data architectures, and various AWS services.
- Proficiency with languages such as Python, Ruby, Java, or JavaScript.
- In-depth understanding of deployment processes and data pipeline management.
- Strong analytical skills with an emphasis on problem-solving and optimization.
- Exceptional ability for strategic thought to implement solutions that streamline processes and enhance functionality.
- Excellent communication and collaboration abilities, with a track record of working effectively with cross-functional teams.
- Strong work ethic and commitment to driving advancement to business outcomes.
- Proficiency in written and spoken communication skills in English.
📌 Responsibilities:
- Design, build, and optimize data pipelines to support a conversational AI product at scale.
- Lead and facilitate the transition from a manually deployed, to a Terraform-configured deployment for the set of services that power our conversational AI system.
- Manage, maintain, and optimize our AWS environment while ensuring its security, performance, and scalability.
- Leverage AWS services to enhance the functionality and reliability of the AI system.
- Optimize processes, such as on-demand download of data assets and in-memory caching, within a service that runs on a cluster of ephemeral containers.
- Collaborate with full stack developers and data scientists to make services available.
- Approach problem-solving strategically by identifying and addressing bottlenecks and streamlining system processes.
- Stay updated with industry trends and innovations and incorporate relevant ones into our work processes.
- Create clean documentation and clear architectural diagrams.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)