Data Platform Engineer I — Backend & GenAI

OpenKrill; United States; A distancia; USD 122.000 - 176.000; Jornada completa

Descripción de la vacante

Abnormal AI is seeking a Software Engineer I to help design and operate our data platform, building tools that enable teams to adopt scalable data systems securely and efficiently. You will contribute end-to-end features while learning from experienced engineers and tackling meaningful technical challenges.

You will work on automated infrastructure, performance improvements, and state-of-the-art GenAI techniques to enhance developer and operator experiences.

Formación

• 1+ years of professional software engineering experience.
• Strong programming skills in Python or Go.
• Solid fundamentals in data structures, testing, and debugging.
• Interest in learning AWS, Databricks, databases, streaming, and orchestration.
• Curiosity, problem-solving, and teamwork.

Responsabilidades

• Contribute to design, development, and operation of core data platform components.
• Build tools and services to help other teams scale data systems.
• Automate infrastructure and operations for reliability and performance.
• Apply GenAI techniques to improve developer and operator experiences.
• Collaborate across engineering teams to address scalability and reliability challenges.
• Take ownership of end-to-end features with guidance from senior engineers.

Conocimientos

Backend development

Python

Go

Distributed systems

AWS

Databricks

PostgreSQL

OpenSearch

Kafka

Herramientas

Python

Go

Kafka

Spark

Airflow

Descripción del empleo

Abnormal AI is seeking a Software Engineer I to help design and operate our data platform, building tools that enable teams to adopt scalable data systems securely and efficiently. You will contribute end-to-end features while learning from experienced engineers and tackling meaningful technical challenges.

You will work on automated infrastructure, performance improvements, and state-of-the-art GenAI techniques to enhance developer and operator experiences.