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Software Engineer (Java, Python, Javascript/Typescript/Node.js)

Sabenza IT & Recruitment
Full-time
On-site
Pretoria, Gauteng, South Africa
Ready to push the boundaries of energy and mobility solutions? We’re looking for a Software Engineer to join our Digital Energy & Mobility Solutions team. This isn’t just about coding, it’s about designing resilient, cloud-native systems that power the future of smart mobility. You’ll be working with cutting-edge AWS tech, global teams, and a fast-paced environment where no two days are the same.

Requirements

  • Familiarity with Microservices Architecture, Cloud and Container Architecture
  • At least 6 years' worth of experience using back-end technologies such as

o   Javascript / TypeScript / Node.js

o   Python

o   Java

  •  Experience with cloud technologies such as (Amazon AWS is strongly preferred):

o   API Gateway, CloudWatch, Lambda, DynamoDB, SQS, SNS, Kinesis, S3, etc.

o   Virtual networks (VPC), including communication with on-premise networks

o   CICD pipelines and configuration

o   Infrastructure as Code (Terraform, CloudFormation)

o   Automated deployment and configuration of components and systems

o   Monitoring and log analytics

o   Containers: Docker and Kubernetes

  • Experience with Databases both Sql and NoSql (DynamoDB)
  • Experience with:

o   Web Services Design & Deployment

o   Event driven architectures with queues and streams

o   GIT (GitHub and GitHub Actions)

  • Experience with Design / Architecture Patterns
    Experience in AGILE or SCRUM.
    Open to learning new languages as required
  • Any additional responsibilities assigned in the Agile Working Model (AWM) Charter


Benefits

  • Cutting edge global IT system landscape and processes
  • Flexible working of 1960 hours in a 12-month period
  • High Work-Life balance
  • Hybrid working model
  • Highly motivating, energetic, and fast-paced working environment
  • Modern, state-of-the-art offices
  • Dynamic Global Team collaboration
  • Application of the Agile Working Model Methodology