Website:
trinityaiboston.com
Job details:
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 ↗
Click on Apply to know more.
