1. Senior Backend Engineer (Data Pipelines & APIs)

Senior Backend Engineer (Data Pipelines & APIs)

Role Overview

We are seeking a Senior Backend Engineer to design, build, and maintain scalable data pipelines and APIs that power our AI platforms. You will work with cutting-edge technologies to transform complex data into actionable insights.

What You’ll Do

• Design and implement scalable data pipelines for processing large-scale datasets
• Develop robust RESTful APIs and microservices architecture
• Optimize database queries and data processing workflows
• Collaborate with AI/ML teams to integrate models into production systems
• Ensure system reliability, performance, and security

Must Have Skills

• 5+ years of backend development experience
• Proficiency in Python, Java, or Go
• Experience with data pipeline tools (Apache Airflow, Kafka, Spark)
• Strong knowledge of database systems (PostgreSQL, MongoDB)
• Experience with cloud platforms (AWS, Azure, GCP)

Nice-to-Have

• Experience with ML/AI model deployment
• Knowledge of containerization (Docker, Kubernetes)
• Understanding of data engineering best practices

APPLY NOW ↗

Senior Backend Engineer (Data Pipelines & APIs)

Role Overview

We are seeking a Senior Backend Engineer to design, build, and maintain scalable data pipelines and APIs that power our AI platforms. You will work with cutting-edge technologies to transform complex data into actionable insights.

What You’ll Do

• Design and implement scalable data pipelines for processing large-scale datasets
• Develop robust RESTful APIs and microservices architecture
• Optimize database queries and data processing workflows
• Collaborate with AI/ML teams to integrate models into production systems
• Ensure system reliability, performance, and security

Must Have Skills

• 5+ years of backend development experience
• Proficiency in Python, Java, or Go
• Experience with data pipeline tools (Apache Airflow, Kafka, Spark)
• Strong knowledge of database systems (PostgreSQL, MongoDB)
• Experience with cloud platforms (AWS, Azure, GCP)

Nice-to-Have

• Experience with ML/AI model deployment
• Knowledge of containerization (Docker, Kubernetes)
• Understanding of data engineering best practices

APPLY NOW ↗