What Technology Firms Jobs are in South Africa?

• Develop and maintain full-stack blockchain applications, including smart contracts, back-end services, and user interfaces.
• Design and implement APIs for integrating blockchain solutions with existing enterprise systems.
• Write clean, efficient, and well-documented code for both front-end and back-end components.
• Collaborate with business analysts and stakeholders to understand requirements and translate them into technical specifications.
• Perform unit testing and integration testing to ensure application quality and reliability.
• Troubleshoot and debug issues across the full stack of the application.
• Stay informed about new blockchain technologies and enterprise adoption trends.
• Contribute to architectural discussions and decisions for new blockchain projects.
• Ensure the security and performance of all developed applications.

• Proven experience as a Full-Stack Developer with a strong focus on blockchain development.
• Proficiency in smart contract development (e.g., Solidity) and associated frameworks.
• Experience with back-end development languages and frameworks (e.g., Node.js, Python, Java, Spring Boot).
• Strong front-end development skills using modern JavaScript frameworks (e.g., React, Angular, Vue.js).
• Understanding of blockchain principles, distributed ledgers, and cryptography.
• Experience with database technologies (SQL and NoSQL).
• Familiarity with cloud platforms (e.g., AWS, Azure).
• Excellent problem-solving abilities and attention to detail.
• Strong communication and interpersonal skills for effective team collaboration.
• Bachelor's degree in Computer Science, Information Technology, or a related field.

• Competitive salary and performance bonuses.
• Comprehensive medical aid and retirement fund.
• Opportunities for career advancement within a growing company.
• Exposure to diverse enterprise blockchain projects.
• Stimulating work environment in **Pretoria, Gauteng**.
• Continuous learning and professional development support.
• Access to cutting-edge technologies and training.

About the Company: 

Khonology is a digital services company focused on software development, Application Support, data analytics and engineering.

We are looking for a skilled Data Engineer to join our team. The ideal candidate will have a strong background in Python, AWS/Azure Cloud technologies, data pipeline management, ETL and ELT principle. You will be responsible for designing, building,
and maintaining scalable and robust data systems to support our data-driven initiatives and productionizing data related systems.

Core Responsibilities and Competencies:

• Programming: Write efficient and maintainable code in Python and SQL.

• Data Pipeline Management: Design, develop, and maintain data pipelines to ensure smooth data flow from various sources to the data warehouse.

• Production Systems: Apply best practices in production systems management to ensure reliability and scalability.

• ETL and ELT Processes: Implement and optimize ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes to ensure data is correctly ingested, transformed, and loaded.

•  Data API Integration: Develop and maintain data APIs to facilitate seamless data access and integration with other systems.

• Database Management: Manage and optimize relational databases to ensure high performance and reliability.

• Data Modeling: Design and implement data models to support data product and
  machine learning needs.

• Query Optimization: Ensure that queries are always optimized for performance to enhance system efficiency.

• TowerCo Set-up & Strategy
• End-to-End Network Planning
• Infrastructure & Assets (Tower, Power, Passive)
• Programme & Delivery Management
• IT, OSS/BSS & Cybersecurity
• Stakeholder & Regulatory Engagement
• Execution
• Legal and Regulatory
• Governance

• Phase 1
• Tanzania
• Mozambique
• DRC
• Lesotho

• Phase 2
• Ethiopia
• Kenya
• Egypt

• Bachelors degree in Telecommunications Engineering, Electrical Engineering, Geomatics, or related technical discipline.

• Minimum 10 years experience in telecommunications networking, with strong exposure to network strategy, RF (RAN) planning, and fibre network planning
• Proven experience in end-to-end network planning, including RAN, fibre (FTTH/FTTB/FTTS,Metro, NLD), backhaul, and core interconnect
• Demonstrated experience in large-scale network rollout planning, due diligence, and business case development
• Experience working in multi-market or Group Technology environments and supporting strategic infrastructure initiatives

• Role Deliverables:
• FibreCo Set-up & Strategy
• End-to-End Network Planning
• IT, OSS/BSS & Cybersecurity
• Programme & Delivery Management
• Stakeholder & Regulatory Engagement
• Execution
• Legal and Regulatory
• Governance
• Market Scope

• Phase 1
• Tanzania
• Mozambique
• DRC
• Lesotho

• Phase 2
• Kenya
• Ethiopia
• Egypt

• Must have technical / professional qualifications:
• Education:
• Bachelors degree in Telecommunications Engineering, Electrical Engineering, Geomatics, or related technical discipline.

• Experience:
• Minimum 10 years experience in network strategy, RF planning, fibre network planning, or integrated network design within telecoms environments
• Proven experience in end-to-end network planning (RAN, fibre/FTTx, backhaul, and core interconnects)
• Demonstrated experience in large-scale network rollout planning, due diligence, and business case development
• Exposure to multi-market or group-level planning environments is advantageous

• Bachelors or Masters degree in Computer Science, Information Security, or related field.
• Relevant certification/accreditation/membership with professional body as required

• Offensive security / penetration testing certifications (e.g., OSCP, OSEP, GPEN, CRTO).
• AI/ML security certifications and recognised AI red-teaming / adversarial ML training.
• CISSP, CEH or equivalent security certification.
• Cloud security certifications (Azure, AWS or GCP Security).

• Minimum 810 years in cybersecurity, with at least 5 years focused on security testing, penetration testing or red-teaming.
• Demonstrable experience testing AI/ML or LLM systems (adversarial ML, prompt injection, jailbreak and data-leakage testing).
• Experience testing API security and API gateways (e.g., Apigee, Kong, AWS API Gateway, Azure API Management).
• Hands-on experience with AI firewalls / LLM gateways and content-filtering / guardrail technologies.
• Familiarity with securing data pipelines: encryption at rest and in transit, tokenization and data masking.
• Working knowledge of AI security frameworks: OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF and ISO/IEC 42001.

• Deep understanding of AI/LLM attack techniques and threat models (prompt injection, data poisoning, model extraction, membership inference, evasion).
• Strong knowledge of AI architecture components: models, inference endpoints, RAG / vector stores, AI firewalls, API gateways, and orchestration / agent frameworks.
• API security testing (authentication, authorisation, OWASP API Security Top 10).
• Adversarial machine learning and model robustness / safety testing.
• Understanding of guardrail and content-moderation technologies and how to verify their effectiveness.
• Compliance with PSD2, GDPR, PCI DSS, POPIA and emerging AI regulation (e.g., EU AI Act).
• Understanding of the Agile and DevSecOps delivery processes (SCRUM, Kanban preferable)

• Bachelors degree in Computer Science, Information Systems, Data Management, or related technical field
• Relevant certification/accreditation/membership with professional body as required

• 5+ years experience in AI , data or solution architecture roles
• Proven experience delivering enterprise‑grade AI solutions
• Experience working in large-scale, enterprise or regulated environments
• Experience with cloud data platforms and big data ecosystems (Advantageous)
• Prior experience Financial Services preferred, with experience within the banking/big data/ telecom industry and with Mobile Money being an added advantage
• Experience in Integration & Orchestration, Functional Architecture Design, Technical Solution Design
• Demonstrated ability to architect end‑to‑end AI solutions with embedded Responsible AI principles , including fairness, explainability, transparency, privacy, security, and model governance , as well as quality assurance and validation methodologies .
• Proven capability to work effectively with both structured and unstructured data across the full AI lifecycle.
• Worked across diverse cultures and geographies

• Strong AI Solution Architecture and ability to design end‑to‑end, enterprise‑scale AI solutions, integrating data, models, platforms, and business processes
• Strong understanding of LLMs, AI agents, Retrieval‑Augmented Generation (RAG), prompt design, and orchestration patterns
• Responsible AI & Ethics with in-depth knowledge of fairness, explainability, bias mitigation, transparency, privacy, security, and regulatory compliance, embedded throughout the AI lifecycle
• Expertise in model evaluation, testing, monitoring, drift detection, and performance validation in production environments
• MLOps / LLMOps - Practical experience with CI/CD for AI, model deployment, retraining, observability, and lifecycle management
• Strong capability to work with structured, semi‑structured, and unstructured data, including feature engineering and data readiness for AI
• Ability to assess and manage model risk, data risk, and operational risk associated with AI solutions
• Cloud & Platform Expertise

• 6+ Develop models to generate insights and support business decisions
• 6+ years applying statistical methods, machine learning, and domain knowledge to solve complex business problems
• Minimum 1 years knowledge of foundational Large Language Models and agentic AI
• 6+ years Python/R, SQL, notebooks, visualization tools (Power BI), experimentation frameworks

• Postgraduate qualification in a quantitative field (Statistics, Computer Science, Mathematics, Engineering) or similar qualification.
• Relevant cloud certification in Data Science or Machine Learning or Artificial Intelligence - mandatory

• As a Data Scientist, you will analyse and interpret complex data to uncover insights that drive business performance and strategic decision-making. Using Python, SQL, Google BigQuery, and Google Looker, you will develop reports, dashboards, and analytical solutions, while partnering with stakeholders to identify opportunities, solve business challenges, and support data-driven growth. You will also contribute to continuous improvement by exploring new trends, tools, and techniques in data science and analytics.

• 3+ years' experience as a Data Scientist, Data Analyst, or similar role.
• Strong proficiency in Python , SQL , Google BigQuery , and Google Looker
• Experience working within Google Cloud Platform (GCP)
• Strong analytical and problem-solving abilities with experience working with large datasets
• Experience in statistical analysis, data modelling, and business insights generation
• Proficiency in data visualisation and reporting tools.
• Advanced Microsoft Excel skills
• Strong communication skills with the ability to present insights to technical and non-technical stakeholders
• Experience within financial services, credit, fintech, or data-driven industries will be advantageous
• Understanding of data governance and data privacy principles is beneficial

• Bachelor or Masters Degree in Mathematics, Statistics, Computer Science, Data Science, Data Analytics, Information Systems or a related quantitative field