Senior Go Engineer – Real-Time Payments & Wallet Platform

Bash; Cape Town; Vor Ort; ZAR 900.000 - 1.300.000; Vollzeit

Benefits dieser Stelle

Competitive salary & bonus

Health benefits

Paid time off

Growth opportunities

Zusammenfassung

AECOM in Kimberley is seeking an AI Platform Engineer to build, scale, and maintain the infrastructure for AI and ML initiatives. You will develop robust data pipelines, manage ML workflows, and ensure reliable deployment environments, enabling cutting-edge AI capabilities.

Join a collaborative, innovative team and work with Kubeflow, MLflow, Docker, Kubernetes, and major cloud platforms to support data scientists and ML engineers in delivering impactful solutions.

Qualifikationen

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• 3+ years of experience in platform engineering, DevOps, or MLOps.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Experience with infrastructure as code tools (Terraform, Ansible).
• Familiarity with data processing frameworks (Spark, Flink) and ML libraries.

Aufgaben

• Design, build, and maintain scalable AI/ML infrastructure and platforms.
• Develop and optimize data pipelines for ingestion, processing, and storage of large datasets.
• Implement and manage ML workflow orchestration tools (Kubeflow, MLflow).
• Ensure the performance, reliability, and security of AI development and production environments.
• Collaborate with data scientists and ML engineers to support their operational needs.

Ausbildung

Bachelor's degree in Computer Science, Engineering, or related technical field

Tools

AWS

Azure

GCP

Docker

Kubernetes

Terraform

Ansible

Spark

Flink

Jobbeschreibung

Company Description

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations.

There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

AI Platform Engineer

Our client is looking for a skilled AI Platform Engineer to join their growing team in Kimberley. This role is critical for building, maintaining, and scaling the infrastructure that supports our AI and machine learning initiatives. You will work on developing robust data pipelines, managing ML workflows, and ensuring the reliability and efficiency of our AI development and deployment environments. This is an excellent opportunity to work with cutting-edge technologies and make a significant impact on how AI is developed and utilized within the organization, contributing to a collaborative and innovative technical culture.

About the Role

Our client is looking for a skilled AI Platform Engineer to join their growing team in Kimberley. This role is critical for building, maintaining, and scaling the infrastructure that supports our AI and machine learning initiatives. You will work on developing robust data pipelines, managing ML workflows, and ensuring the reliability and efficiency of our AI development and deployment environments. This is an excellent opportunity to work with cutting-edge technologies and make a significant impact on how AI is developed and utilized within the organization, contributing to a collaborative and innovative technical culture.

Key Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure and platforms.
• Develop and optimize data pipelines for ingestion, processing, and storage of large datasets.
• Implement and manage ML workflow orchestration tools (e.g., Kubeflow, MLflow).
• Ensure the performance, reliability, and security of AI development and production environments.
• Collaborate with data scientists and ML engineers to support their operational needs.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in platform engineering, DevOps, or MLOps.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with infrastructure as code tools (Terraform, Ansible).
• Familiarity with data processing frameworks (Spark, Flink) and ML libraries.

Benefits

• Competitive salary and annual bonus structure.
• Opportunity to work with advanced AI infrastructure and technologies.
• Comprehensive health and wellness benefits package.
• Generous paid time off and vacation policy.
• Professional growth opportunities and training programs.

As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.