Senior Backend Engineer — Remote, AI Data Analytics

Placements24; Upington; Hybrid; ZAR 2,003,000 - 3,005,000; Full time

Benefits offered by this job

Remote work

Professional development

Job summary

Placements24 is seeking a Senior Backend Software Engineer to design, build, and scale backend systems for AI-driven data analytics. You will work with Python/Java/Go/Node.js, craft robust APIs, and mentor junior engineers.

This remote-first role emphasizes cloud deployment (AWS/Azure/GCP), containers (Docker/Kubernetes), and data modeling across SQL and NoSQL databases. You will collaborate with data scientists and product managers to deliver high-performance services.

Qualifications

• Extensive experience as a backend software engineer.
• Proficiency in Python, Java, Go, or Node.js.
• Experience with SQL/NoSQL databases.
• Design and implement RESTful APIs and microservices.
• Experience with AWS/Azure/GCP and Docker/Kubernetes.
• Strong software fundamentals and testing.
• Bachelor's or Master's in CS/Engineering or equivalent.

Responsibilities

• Design, develop, test, deploy, and maintain backend services and APIs.
• Write clean, efficient code in Python/Java/Go/Node.js.
• Collaborate with frontend, data scientists, and product managers.
• Optimize performance and scalability.
• Design and manage database schemas.
• Implement security best practices.
• Mentor junior engineers and participate in code reviews.
• Contribute to architectural decisions and new systems.
• Stay updated on backend and cloud technologies.

Skills

Backend development

RESTful APIs

Problem solving

Communication

Mentoring

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

SQL

PostgreSQL

MongoDB

Cassandra

Job description

Placements24 is seeking a Senior Backend Software Engineer to design, build, and scale backend systems for AI-driven data analytics. You will work with Python/Java/Go/Node.js, craft robust APIs, and mentor junior engineers.

This remote-first role emphasizes cloud deployment (AWS/Azure/GCP), containers (Docker/Kubernetes), and data modeling across SQL and NoSQL databases. You will collaborate with data scientists and product managers to deliver high-performance services.