621 Senior Engineers jobs in South Africa

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Direct message the job poster from Chisl Group

Can you build a model that tells a Kudu from an Eland from 200 feet in the air?

Or detect if a truck driver’s eyes are off the road — in real time?

Do you thrive on messy data — parsing it, cleaning it, structuring it — and turning it into insights that actually matter?

Do you care about elegant solutions?

From auto-deploying infrastructure as code to orchestrating Fivetran pipelines, it’s about building systems that just work — reliably, at scale.

Are you excited by the latest tech — but only when it solves real business problems?

Then you’re probably fluent in things like:

• Python, SQL, and vector embeddings

• OCR tools like Tesseract or AWS Textract

• NLP frameworks like spaCy or Hugging Face

• Transformers, fine-tuning, and custom classification models

• Docker, FastAPI, Airflow, and maybe even a bit of MLOps

• And yes, wrestling ugly PDFs into structured, machine-readable datasets

We’re building applied AI systems that don’t just live in notebooks — they power decisions, detect risk, automate tasks, and unlock entirely new capabilities.

If that sounds like your vibe, drop me a message.

We should talk.

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology

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Reference: NES018143-RS-1
A popular hospital group is seeking the services of an Engineer skilled in facilities management.

• Oversee the maintenance and operation of all building systems, including HVAC, plumbing, electrical, and security.
• Develop and implement preventive maintenance programs to ensure optimal performance and longevity of facilities.
• Conduct regular inspections to identify and address maintenance issues promptly.
• Coordinate with external contractors and vendors for repairs, upgrades, and installations.
• Manage budgets and expenses related to facility maintenance and improvement projects.

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, or related field.
• Proven experience in facilities management or a similar role.
• Strong knowledge of building systems and maintenance best practices.
• Excellent organizational and problem-solving skills.
• Ability to work independently and collaborate effectively with cross-functional teams.

Please send your CV to

Join to apply for the Senior MLOps Engineers role at DVT

1 month ago Be among the first 25 applicants

Join to apply for the Senior MLOps Engineers role at DVT

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At DVT, a leading global custom software development and data engineering company, we are seeking passionate Java developers to join our innovative and collaborative team! This is an opportunity to work alongside some of the most skilled professionals in the industry, leveraging cutting-edge technologies and best practices to deliver world-class solutions.

At DVT, you’ll be part of a culture that fosters continuous learning and growth. We support your professional development with comprehensive training programs and sponsor various industry events like DevConf and GDG. Join us and push the boundaries of what’s possible, while taking your career to new heights!

We are looking for an experienced MLOps Engineer to join our team. The ideal candidate will have a strong background in machine learning, cloud infrastructure, and DevOps practices. The MLOps Engineer will collaborate with data scientists, machine learning engineers, and software developers to deploy, scale, monitor, and manage machine learning models in production. This role requires a blend of software engineering, data science, and operations knowledge.

Key Responsibilities - MLOps:

• Lead the MLOps charge
• Collaborate with data scientists and machine learning engineers to deploy models in production environments using CI/CD pipelines.
• Build and maintain infrastructure for machine learning model training, validation, deployment, and monitoring.
• Implement best practices for data versioning, model versioning, and continuous integration/continuous deployment (CI/CD) pipelines.
• Optimize and automate workflows for machine learning pipelines, ensuring scalability, efficiency, and reproducibility.
• Monitor machine learning models in production for performance drift, accuracy, and degradation.
• Work with cloud platforms (e.g., AWS, GCP, Azure) to set up secure and scalable environments for machine learning workloads.
• Implement monitoring tools and logging solutions for ML model performance, ensuring quick identification and resolution of production issues.
• Develop automated testing and validation scripts to ensure the integrity and reliability of models in production.
• Collaborate with cross-functional teams to improve the end-to-end lifecycle of machine learning projects.
• Ensure compliance with security and data privacy standards throughout the machine learning lifecycle.
  
  
  

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field.
• 3+ years of experience in MLOps, DevOps, or Data Engineering.
• Strong experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Proficiency in containerization and orchestration tools (Docker, Kubernetes).
• Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with version control tools (Git, DVC) and CI/CD pipelines (Jenkins, GitLab CI).
• Experience with infrastructure-as-code tools (Terraform, CloudFormation).
• Proficiency in scripting languages such as Python, Bash, or Scala.
• Experience in monitoring tools (Prometheus, Grafana, ELK Stack) for model and infrastructure health checks.
• Understanding of model training, validation, and deployment processes.
  
  
  

• Experience with automated model retraining and optimization.
• Familiarity with data engineering workflows including ETL, data pipelines, and data governance.
• Experience with feature stores and model repositories.
• Knowledge of A/B testing and model performance tracking (MLflow, TFX, SageMaker, or similar).
• Certifications in cloud computing (AWS, GCP, or Azure).
  
  
  

• Strong problem-solving skills and ability to work independently.
• Excellent communication skills for cross-functional collaboration.
• Strong understanding of data governance, security, and privacy issues.
• Ability to work in an agile, fast-paced environment.
  
  
  

• Recruiter call
• Technical Interview
• Decision & Feedback
  
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Consulting
• Industries Business Consulting and Services

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

At DVT, a leading global custom software development and data engineering company, we are seeking passionate Java developers to join our innovative and collaborative team! This is an opportunity to work alongside some of the most skilled professionals in the industry, leveraging cutting-edge technologies and best practices to deliver world-class solutions.

At DVT, you’ll be part of a culture that fosters continuous learning and growth. We support your professional development with comprehensive training programs and sponsor various industry events like DevConf and GDG. Join us and push the boundaries of what’s possible, while taking your career to new heights!

We are looking for an experienced MLOps Engineer to join our team. The ideal candidate will have a strong background in machine learning, cloud infrastructure, and DevOps practices. The MLOps Engineer will collaborate with data scientists, machine learning engineers, and software developers to deploy, scale, monitor, and manage machine learning models in production. This role requires a blend of software engineering, data science, and operations knowledge.

1. Lead the MLOps charge
2. Collaborate with data scientists and machine learning engineers to deploy models in production environments using CI / CD pipelines.
3. Build and maintain infrastructure for machine learning model training, validation, deployment, and monitoring.
4. Implement best practices for data versioning, model versioning, and continuous integration / continuous deployment (CI / CD) pipelines.
5. Optimize and automate workflows for machine learning pipelines, ensuring scalability, efficiency, and reproducibility.
6. Monitor machine learning models in production for performance drift, accuracy, and degradation.
7. Work with cloud platforms (e.g., AWS, GCP, Azure) to set up secure and scalable environments for machine learning workloads.
8. Implement monitoring tools and logging solutions for ML model performance, ensuring quick identification and resolution of production issues.
9. Develop automated testing and validation scripts to ensure the integrity and reliability of models in production.
10. Collaborate with cross-functional teams to improve the end-to-end lifecycle of machine learning projects.
11. Ensure compliance with security and data privacy standards throughout the machine learning lifecycle.

1. Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field.
2. 3+ years of experience in MLOps, DevOps, or Data Engineering.
3. Strong experience with cloud platforms such as AWS, Google Cloud, or Azure.
4. Proficiency in containerization and orchestration tools (Docker, Kubernetes).
5. Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
6. Familiarity with version control tools (Git, DVC) and CI / CD pipelines (Jenkins, GitLab CI).
7. Experience with infrastructure-as-code tools (Terraform, CloudFormation).
8. Proficiency in scripting languages such as Python, Bash, or Scala.
9. Experience in monitoring tools (Prometheus, Grafana, ELK Stack) for model and infrastructure health checks.
10. Understanding of model training, validation, and deployment processes.

1. Experience with automated model retraining and optimization.
2. Familiarity with data engineering workflows including ETL, data pipelines, and data governance.
3. Experience with feature stores and model repositories.
4. Knowledge of A / B testing and model performance tracking (MLflow, TFX, SageMaker, or similar).
5. Certifications in cloud computing (AWS, GCP, or Azure).

1. Strong problem-solving skills and ability to work independently.
2. Excellent communication skills for cross-functional collaboration.
3. Strong understanding of data governance, security, and privacy issues.
4. Ability to work in an agile, fast-paced environment.

The ITIL Support Engineer is responsible for delivering endtoend support across a wide range of IT systems and services ensuring high availability performance and reliability of both preproduction and production environments. The role encompasses proactive maintenance incident and problem management configuration and capacity planning aligned with ITIL best practices.

Key Responsibilities

1. Technical Support

Provide 1stlevel support as outlined in the component matrix.

Deliver preventative support through system monitoring regular checks and implementation of proactive actions.

Perform performance tuning based on monitoring data and as requested.

Support both onpremise private cloud (OpenShift) and public cloud (AWS) deployments.

Perform routine and monthly maintenance tasks (e.g. patching system upgrades version control).

2. Incident and Problem Management

Manage and resolve incidents within agreed SLAs.

Diagnose and escalate unresolved issues to the next support level.

Perform root cause analysis using log files and alarm correlation.

Maintain a strong focus on recurring technical problems and implement permanent resolutions.

3. Change and Configuration Management

Maintain accurate asbuilt documentation and update system baselines.

Conduct change impact analysis and participate in change approvals.

Perform configuration management activities via SharePoint and other tools.

4. Service and Capacity Management

Deliver service support across all domains (preproduction and production).

Conduct capacity management for designated SelfService & Robotic Enablement Operations Support infrastructure components.

Monitor and maintain system health via daily and midday health checks.

Record and track all checks in the System Check Database (ASICS).

5. Operational Activities

Control and manage the preproduction environment.

Implement operational requests and rollback plans as required.

Perform highlevel verification of general operational changes.

Maintain system performance through proactive monitoring and log file capturing.

6. Communication and Reporting

Communicate incident resolution status and health check notifications.

Log faults and incidents using the service desk and selfcall logging systems.

Collaborate with onsite support teams to validate and assign service requests.

Provide documentation and updates to the service desk for CI (Configuration Item) updates.

7. Stakeholder and Vendor Engagement

Manage and coordinate with 4thline vendors.

Assist in project handovers and ensure acceptance into operations.

Support Vodacom BCP (Business Continuity Planning) and DRP (Disaster Recovery Planning) exercises.

8. Security and Compliance

Manage access control and ensure alignment with security protocols.

Provide documentation for audit and compliance purposes.

Tools & Technologies

Monitoring Systems

System Check Database (ASICS)

SharePoint (for configuration / documentation)

Service Desk Platforms (Fault Logging Incident Management)

Key Skills

Robotics,Electrical Engineering,GIS,C / C++,Technical Writing,Visio,Special Operations,Telecommunication,Geometry,Oil & Gas Experience,MPLS,Systems Analysis

Employment Type : Full Time

Experience : years

Vacancy : 1

Support Engineer • Johannesburg, Gauteng, South Africa

InfyStrat is on the lookout for skilled and driven Data Engineers with expertise in Denodo to join our innovative data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data integration solutions that leverage Denodo’s data virtualization platform. Your role will be pivotal in transforming complex data into actionable insights, thereby empowering our stakeholders to make data-informed decisions. We are seeking candidates who are not only technically proficient but also enthusiastic about working with diverse datasets and developing efficient data pipelines. At InfyStrat, we value creativity, collaboration, and continuous learning. You will be part of a vibrant team that thrives on tackling challenges and driving the future of our data capabilities. If you are passionate about data engineering and are well-versed in Denodo, we invite you to apply and help us shape the data landscape of InfyStrat.

• Design and implement data integration solutions using Denodo to ensure seamless access to diverse data sources.
• Develop and maintain data models and metadata repositories.
• Optimize data virtualization processes for improved performance and scalability.
• Collaborate with data analysts, business stakeholders, and IT teams to gather requirements and deliver solutions.
• Monitor and troubleshoot data pipeline issues to ensure data quality and integrity.
• Stay updated with the latest trends and technologies in data engineering and virtualization.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering or a similar role, with a strong focus on Denodo.
• Proficiency in SQL and experience with data modeling techniques.
• Familiarity with ETL processes and data warehousing concepts.
• Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication skills and the ability to work collaboratively in a team environment.

Johannesburg, South Africa | Posted on 02/21/2025

The candidate will be responsible for ensuring that a product is completely stable. This needs to be accomplished by working closely with the QA Lead and team, Development & Portfolio teams through early design of test plans, test cases, automation, and reporting results to the concerned team for the assigned projects/products.

• Review and analyze business requirements, user stories, and architecture diagrams.
• Gain product and business understanding and apply it in testing activities to improve test coverage and identify defects.
• Develop and execute test plans and test cases with the requisite details, capturing test evidence.
• Test planning and execution with a focus on ensuring end-to-end testing considering enhancements and impacted areas.
• Impact analysis and enhancement of manual and automation regression test packs.
• Analyze, plan, and prepare test data to be used for manual and automated test execution.
• Adherence to established processes and best practices.
• Identify defects and track them through the defect lifecycle.
• Develop, maintain, and debug automation scripts using the existing TestNG-based framework for Change and Regression.
• Enhance the framework and create reusable methods on a need basis.
• Conduct effective self-reviews of own deliverables and peer reviews.
• Publish test status reports on-demand or as per defined milestones in line with the established framework.
• Work with diverse, distributed teams and collaborate with internal teams.
• Guide fellow Quality Engineers, evangelizing best practices of testing, automation, and technical processes.

• Hands-on experience in Software Testing.
• Hands-on experience in test automation in Selenium with Core Java using standard frameworks (Hybrid, Keyword, TestNG).
• Strong knowledge of SDLC, software QA methodologies, tools, and processes.
• Solid understanding of OOP concepts.
• Experience in API Testing using SoapUI, Postman, Rest Assured; or Database Testing skills with SQL.
• Experience with performance testing tools like JMeter.
• Experienced with version control systems like SVN and Git.
• Knowledge of setting up Continuous Integration tools will be an advantage.
• Knowledge or working experience of Agile methodology.
• Strong written and verbal communication skills and ability to work with cross-functional remote teams. Fluency in English is a MUST.
• Self-starter and proactive with a strong sense of urgency to get the job done on time with quality.
• Demonstrate ability to learn new skills and improve upon current skills quickly within a continually changing, challenging environment.

Candidates are required to work in the South African time zone and follow the South African holiday calendar irrespective of their location.

• National Diploma or Degree in Electrical Engineering (essential)

• Proven sales experience within a technical or electrical engineering environment
• Strong understanding of electrical systems, products, and solutions
• Ability to identify customer problems and recommend effective technical solutions
• Excellent communication and client relationship management skills
• Consultative sales approach with problem-solving mindset
• Valid drivers license and willingness to travel locally

• National Senior Certificate.
• Microsoft Office
• + 2 years work experience.
• Civil Engineering qualification

• Only applicants who meet the requirements outlined above will be considered.
• If you do not hear from us within 14 days, please consider your application unsuccessful.