1172 AWS Platform Engineer (Expert)

Recruiter:

Imizizi

Job Ref:

JHB000787/NT

Date posted:

Tuesday, January 21, 2025

Location:

Menlyn, South Africa

SUMMARY:

We are looking for a skilled and experienced DevOps / Full-Stack Engineer with a strong background in AWS to join our client. As a senior developer, you will play a critical role in enhancing the technical platform’s code, infrastructure automation, deployment, and monitoring. Bachelor’s degree in Computer Science and a minimum of 5 years of experience in a similar role, such as a DevOps Engineer. The ideal candidate should hold an AWS Certified Developer – Associate or AWS Certified Solutions Architect certification.

The position is scheduled to begin 01 March 2025. Applicants must be based in Gauteng or willing to relocate.

POSITION INFO:
Core Role tasks and responsibilities:

Work with the team to improve a platform for AI & Machine Learning
Develop new features and improve existing features of MLOPs solution
Implement and manage infrastructure on AWS using Terraform
Write clean, maintainable, and efficient codebase in an Agile environment
Manage and improve monitoring and alerting tools
Ensure security compliance and implement best practices in AWS
Collaborate with teams of developers and stakeholders to support the development and secure operation of the platform

Essential skills requirements:

Strong Experience related to AWS networking & security hardening
Experience with CI/CD, automated testing tools ideally Github actions
Experience working with AWS cloud technologies such as Amazon Sagemaker, AWS API Gateway, VPC, S3, StepFunctions, Event Bridge, Lambda, Sagemaker Pipelines, CloudWatch and IAM
Programming skills in Python
Solid understanding of Machine Learning model training & lifecycle
Experience in creating build and release pipelines for ML solutions
Proven experience in infrastructure-as-code with Terraform and Terragrunt
Solid understanding of data engineering (ETL) and data storage concepts
Any additional responsibilities assigned in the Agile Working Model (AWM) Charter

Advantageous skills requirements:

Ability to work independently and to submit deliverables on time and with excellent quality
Familiarity with machine learning lifecycle and model development
Excellent interpersonal and organizational skills with the ability to communicate effectively (both verbally and in writing) with both technical and non-technical colleagues / users
Strong ability to understand and interpret business needs and requirements with an aptitude to move concepts through to proposal and successful implementation
Strong presentation skills
Flexibility to take up different tasks in the project
Ability and willingness to coach and give training to fellow colleagues and users when required
Willing and able to travel internationally
Knowledge and experience with use of Large Language Models (LLM) and Retrieval Augmented Generation (RAG) pipelines

If you are a driven professional with the required qualifications and experience, we encourage you to submit your CV. Kindly note that if you do not hear from us within two weeks, please consider your application unsuccessful.

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