Senior AI Platform Backend Engineer (Hybrid)

Placements24; Polokwane; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work environment in Polokwane

Challenging AI platform projects

Professional development opportunities

Job summary

Placements24 in Polokwane is seeking a Senior Software Engineer to design, build, and maintain scalable backend services for an AI platform. Role blends hybrid work with collaboration across remote and in-office teams.

You will lead, mentor, and implement CI/CD, cloud deployment, and microservices, with focus on Python/Go/Java/C++ and distributed architectures. Experience with AWS/Azure/GCP, Docker, Kubernetes preferred, and strong SQL/NoSQL knowledge.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional software development experience, backend focus.
• Proficiency in Python, Go, Java, or C++ and distributed systems.
• Experience with cloud platforms and containerization (Docker, Kubernetes).
• Knowledge of AI/ML concepts is highly desirable.

Responsibilities

• Design, develop, test, deploy, and maintain scalable software services for the AI platform.
• Collaborate with AI/ML engineers and data scientists to define platform requirements.
• Build robust APIs and microservices to support AI workflows.
• Implement CI/CD, automated testing, and code reviews.
• Optimize performance, scalability, and resource use.
• Troubleshoot complex software issues and contribute to architecture decisions.
• Mentor junior engineers and promote technical excellence.
• Ensure platform security and compliance.

Skills

Python

Go

Java

C++

Distributed systems

Microservices

CI/CD

Algorithms

Data Structures

Education

Bachelor's or Master's degree in Computer Science or Software Engineering

Tools

AWS

Azure

GCP

Docker

Kubernetes

SQL

NoSQL

Job description

Placements24 in Polokwane is seeking a Senior Software Engineer to design, build, and maintain scalable backend services for an AI platform. Role blends hybrid work with collaboration across remote and in-office teams.

You will lead, mentor, and implement CI/CD, cloud deployment, and microservices, with focus on Python/Go/Java/C++ and distributed architectures. Experience with AWS/Azure/GCP, Docker, Kubernetes preferred, and strong SQL/NoSQL knowledge.