Pixis AI
https://pixis.aiAbout
Pixis is a global tech company that develops accessible codeless AI technology to help brands scale their marketing efforts. They provide AI infrastructure for marketers, agencies, and creative professionals to enhance performance marketing in a complex consumer behavior landscape.
Tech stack
React.js
NodeJS (Node.js)Candid answers by the company
Pixis is a codeless AI platform for marketing teams. Think of it as an AI co-pilot for marketers that helps them:
- Create and optimize marketing campaigns
- Generate and improve ad content
- Find and target the right audiences
- Track performance in real-time
- Make data-driven marketing decisions
All of this is done through their three main AI products:
- Targeting AI
- Creative AI
- Performance AI
Company social profiles
Jobs at Pixis AI
Python
Go Programming (Golang)Key Responsibilities:
- Design, build, and maintain scalable, real-time data pipelines using Apache Flink (or Apache Spark).
- Work with Apache Kafka (mandatory) for real-time messaging and event-driven data flows.
- Build data infrastructure on Lakehouse architecture, integrating data lakes and data warehouses for efficient storage and processing.
- Implement data versioning and cataloging using Apache Nessie, and optimize datasets for analytics with Apache Iceberg.
- Apply advanced data modeling techniques and performance tuning using Apache Doris or similar OLAP systems.
- Orchestrate complex data workflows using DAG-based tools like Prefect, Airflow, or Mage.
- Collaborate with data scientists, analysts, and engineering teams to develop and deliver scalable data solutions.
- Ensure data quality, consistency, performance, and security across all pipelines and systems.
- Continuously research, evaluate, and adopt new tools and technologies to improve our data platform.
Skills & Qualifications:
- 3–6 years of experience in data engineering, building scalable data pipelines and systems.
- Strong programming skills in Python, Go, or Java.
- Hands-on experience with stream processing frameworks – Apache Flink (preferred) or Apache Spark.
- Mandatory experience with Apache Kafka for stream data ingestion and message brokering.
- Proficiency with at least one DAG-based orchestration tool like Airflow, Prefect, or Mage.
- Solid understanding and hands-on experience with SQL and NoSQL databases.
- Deep understanding of data lakehouse architectures, including internal workings of data lakes and data warehouses, not just usage.
- Experience working with at least one cloud platform, preferably AWS (GCP or Azure also acceptable).
- Strong knowledge of distributed systems, data modeling, and performance optimization.
Nice to Have:
- Experience with Apache Doris or other MPP/OLAP databases.
- Familiarity with CI/CD pipelines, DevOps practices, and infrastructure-as-code in data workflows.
- Exposure to modern data version control and cataloging tools like Apache Nessie.
NodeJS (Node.js)React.js
RedisKey Responsibilities:
• Design, develop, and maintain scalable and robust full-stack applications using
cutting-edge technologies.
• Collaborate with product managers, designers, and other stakeholders to
understand requirements and translate them into technical specifications.
• Implement front-end and back-end features with a focus on usability,
performance, and security.
• Write clean, efficient, and maintainable code while following best practices and
coding standards.
• Conduct code reviews, provide constructive feedback, and mentor junior
developers to foster a culture of continuous improvement.
• Troubleshoot and debug issues, identify root causes, and implement solutions to
ensure smooth application operation.
• Stay updated on emerging technologies and industry trends and apply them to
enhance our software development process and capabilities.
Requirements & Skills:
• Bachelor’s degree in computer science, Engineering, or a related field.
• 4+ years of professional experience in software development, with a focus on fullstack development.
• Proficiency in programming languages such as JavaScript (Node.js), Python, orJava.
• Experience with front-end frameworks/libraries such as React, Angular, or Vue.js.
• Solid understanding of back-end frameworks/libraries such as Express.js, Django, or Spring Boot.
• Experience with database systems (SQL and NoSQL) and ORMs (e.g., Sequelize, SQLAlchemy, Hibernate).
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