182,339 Jobs in South Africa

SA’s only nationwide mobile massage service is looking for more staff to join our Cape Town team - to start immediately.

* No experience is required, as full training is provided. *

Local and foreign students are welcome to work with us too.

This is mostly an after-hours position from 5pm to 9pm and you will work doing massages at top-class hotels for mostly international clients in and the city centre and Waterfront.

There is no set schedule - you only work when there is work for you - and when you can be available.

Preference will be given to applicants that live in these areas. Own transport is preferred - but you can use Uber to get to the hotels for your appointments.

If you are eager to learn and enjoy giving massages, this could be the perfect part-time job for you.

Remuneration is R1,200 to R2,100 per session you do. Easily earn R5,000+ a WEEK working just a few hours a week.

Overview

With over 20 years of fully remote experience, Lumenalta offers:

• Fully remote work
• Rapid growth opportunities
• Self-Improvement

• Collaborate with visionary enterprise clients
• Learn how to handle difficult situations
• Tackle complex challenges at scale
• Push boundaries with emerging technologies

• Expertise in React, Node, Express, Mongo, SQL
• We have a 2-hour assessment
• Show up as a proactive, team-oriented self-starter on Zoom

• Work on meaningful, impactful projects.
• Collaborate with a talented, supportive team
• Enjoy a flexible, remote-first environment
• Join a company that values your growth

If you’re a passionate, career-focused developer ready to make a lasting impact, we want to hear from you!

What's it like to work at Lumenalta?

• Mid-Senior level

• Full-time

• Engineering and Information Technology
• Industries: IT Services and IT Consulting and Software Development

Referrals increase your chances of interviewing at Lumenalta by 2x

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Manage strategic programs and projects (both in SA and internationally).

Interface with internal and external customers for all project deliverables.

Participate in meetings and work closely with Functional Managers.

Coordinate and prioritize workload to meet project milestones.

Collect and analyse project metrics.

Identify improvement actions and process controls.

Communicate key status information to stakeholders.

Communicate program, quality, and operations reviews to Senior Management.

Manage project challenges and implement strategies to resolve issues and meet milestones.

Plan and execute configuration, risk, and supply chain management.

Participate in continuous improvement activities.

Develop, maintain, and improve project management processes, metrics, and tools.

Lead project closure activities.

Capture, incorporate, and communicate lessons learned within assigned projects and cross-functional teams.

Continuously refine a project management definition that is recognizable as leading in the industry.

B Degree / equivalent.

Min. 3 years’ Project Management experience.

Excellent understanding of project management concepts, methodologies, and associated tools.

Strong project planning and tracking capability.

Strong risk and issues management, causal analysis, decision analysis / resolution capability.

Able to interface with cross-functional teams / customers.

Able to negotiate and meet project commitments.

Proactive.

Excellent verbal and written communication skills.

Excellent interpersonal skills.

Able to resolve conflict.

Situational travel based on project needs (<10%).

Strong customer-focused project management background.

Able to plan, execute, monitor, and control multiple projects throughout the customer deployment and internal manufacturing lifecycle.

Detail-oriented.

Highly motivated.

Able to resolve challenges and meet project milestones.

Ensure a high customer quality experience.

By applying for this position, you consent in terms of the Protection of Personal Information Act (POPI Act) to your personal information being obtained, utilised, and stored by the Company through inter alia, reference checks, credit checks, and trace reports.

Should you not hear from us within 7 days, please consider your application unsuccessful.

You must have strong communication skills and the ability to add value to existing product lines and develop high-end bespoke software & applications, mobile apps, and websites across all sectors. This role offers excellent career growth opportunities as well as lucrative incentives and benefits.

The role is FULLY REMOTE.

Activities will include:

• Working closely with your team to develop and deliver high-end solutions using Agile methodologies.
• Implementing superior User Experiences.
• Coding and deploying new features.
• Ensuring our clients' web applications and components are accessible, responsive, performant, and bug-free for recent versions of web browsers across all popular platforms.
• Ensuring all code is readable, well documented, and testable.
• Working on some new developments, some significant enhancements to existing systems, and some support activities.

• A minimum 3-year tertiary qualification from an accredited university, either in Commerce or Computer Sciences or Industrial Engineering.
• Strong understanding of systems design and implementation.
• Excellent technical skills.
• Excellent problem-solving abilities.
• Excellent communication skills.

• Ambitious team players but can work independently.
• Courageous and passionate.
• Able to take on challenges with a sense of urgency.
• Focused, with a strong desire for self-improvement.
• Dynamic and progressive in their thinking.
• Ethical and responsible.
• Professional, trustworthy, and keen.

• 4+ years of commercial experience in Java programming (experience with Spring Framework advantageous).
• 4+ years of experience developing Single Page Applications (SPAs) using JavaScript.
• Superior knowledge of Angular 7+.
• Experience using a variety of JavaScript Frameworks, with excellent UI styling skills (jQuery, TypeScript, CSS3, HTML5, Less, Sass).
• Knowledge of MSSQL and issues related to relational databases.
• Excellent track record of building engaging and responsive websites.
• Knowledge of Web Services and APIs.
• Ability to produce high quality code.
• Familiarity with version control (GitHub) and DevOps.
• Exposure to financial Services / investments industry preferred.

The successful applicant will work with clients in the financial services industry and may be required to pass credit, criminal, or other background checks. Applicants must be eligible to work in the Republic of South Africa.

R 1 - R 1 - Annually

You must have strong communication skills and the ability to add value to existing product lines and develop high-end bespoke software & applications, mobile apps, and websites across all sectors. This role offers excellent career growth opportunities as well as lucrative incentives and benefits.

The role is FULLY REMOTE.

Activities will include:

• Working closely with your team to develop and deliver high-end solutions using Agile methodologies.
• Implementing superior User Experiences.
• Coding and deploying new features.
• Ensuring our clients' web applications and components are accessible, responsive, performant, and bug-free for recent versions of web browsers across all popular platforms.
• Ensuring all code is readable, well documented, and testable.
• Working on some new developments, some significant enhancements to existing systems, and some support activities.

• A minimum 3-year tertiary qualification from an accredited university, either in Commerce or Computer Sciences or Industrial Engineering.
• Strong understanding of systems design and implementation.
• Excellent technical skills.
• Excellent problem-solving abilities.
• Excellent communication skills.

• Ambitious team players but can work independently.
• Courageous and passionate.
• Able to take on challenges with a sense of urgency.
• Focused, with a strong desire for self-improvement.
• Dynamic and progressive in their thinking.
• Ethical and responsible.
• Professional, trustworthy, and keen.

• 4+ years of commercial experience in Java programming (experience with Spring Framework advantageous).
• 4+ years of experience developing Single Page Applications (SPAs) using JavaScript.
• Superior knowledge of Angular 7+.
• Experience using a variety of JavaScript Frameworks, with excellent UI styling skills (jQuery, TypeScript, CSS3, HTML5, Less, Sass).
• Knowledge of MSSQL and issues related to relational databases.
• Excellent track record of building engaging and responsive websites.
• Knowledge of Web Services and APIs.
• Ability to produce high quality code.
• Familiarity with version control (GitHub) and DevOps.
• Exposure to financial Services / investments industry preferred.

The successful applicant will work with clients in the financial services industry and may be required to pass credit, criminal, or other background checks. Applicants must be eligible to work in the Republic of South Africa.

R 1 - R 1 - Annually

STA Personnel Solutions South Africa - we are a global Business Process Outsourcing (BPO) company, partnering with a USA Client in the Healthcare Industry and are in search of a Machine Learning Developer / Engineer to join a rapidly expanding team, working remotely.

PLEASE NOTE THE FOLLOWING:

• Working Hours: This role requires you to work USA hours, Mon - Fri, from 9:00am to 6:00pm EST time (15:30pm to midnight South African time). NOTE: These hours are subject to change depending on daylight savings and/or the operational requirements of the company.
• Work Environment: This is a fully remote working role.
• Internet Requirements: A fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection is mandatory. Applicants without a fixed fibre line cannot be considered.
• Power Backup: A reliable power backup solution is required to manage load shedding and power outages. Applicants without a power backup cannot be considered.

• Required Skills: Strong problem-solving and coding skills, more than just a programmer
• Experience building machine learning models

• Random Forest, Gradient Boosting, AutoML
• Performing well on Kaggle machine learning competitions (advantageous)
• 1-2 years of relevant experience
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• Actuarial experience would be an advantage

• Background as an engineer or data scientist, ideally with healthcare experience
• Able to discuss specific models built, methodologies used, and feature engineering approaches

• Develop and implement machine learning models to solve complex business problems from the ground up.
• Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance
• Ensure models are scalable and maintainable
• Perform detailed data analysis to extract meaningful insights
• Conduct feature engineering to improve model accuracy
• Validate and clean data to ensure high-quality datasets for model training
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Collaborate with team members to integrate models into existing systems and workflows
• Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh
• Present data-driven insights through interactive and user-friendly dashboards
• Provide regular reports on model performance and business impact
• Apply machine learning techniques to healthcare-specific problems

If you are not contacted within 14 working days for this role, please consider your application unsuccessful.

STA Personnel Solutions South Africa - we are a global Business Process Outsourcing (BPO) company, partnering with a USA Client in the Healthcare Industry and are in search of a Machine Learning Developer / Engineer to join a rapidly expanding team, working remotely.

PLEASE NOTE THE FOLLOWING:

• Working Hours: This role requires you to work USA hours, Mon - Fri, from 9:00am to 6:00pm EST time (15:30pm to midnight South African time). NOTE: These hours are subject to change depending on daylight savings and/or the operational requirements of the company.
• Work Environment: This is a fully remote working role.
• Internet Requirements: A fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection is mandatory. Applicants without a fixed fibre line cannot be considered.
• Power Backup: A reliable power backup solution is required to manage load shedding and power outages. Applicants without a power backup cannot be considered.

• Required Skills: Strong problem-solving and coding skills, more than just a programmer
• Experience building machine learning models

• Random Forest, Gradient Boosting, AutoML
• Performing well on Kaggle machine learning competitions (advantageous)
• 1-2 years of relevant experience
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• Actuarial experience would be an advantage

• Background as an engineer or data scientist, ideally with healthcare experience
• Able to discuss specific models built, methodologies used, and feature engineering approaches

• Develop and implement machine learning models to solve complex business problems from the ground up.
• Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance
• Ensure models are scalable and maintainable
• Perform detailed data analysis to extract meaningful insights
• Conduct feature engineering to improve model accuracy
• Validate and clean data to ensure high-quality datasets for model training
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Collaborate with team members to integrate models into existing systems and workflows
• Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh
• Present data-driven insights through interactive and user-friendly dashboards
• Provide regular reports on model performance and business impact
• Apply machine learning techniques to healthcare-specific problems

If you are not contacted within 14 working days for this role, please consider your application unsuccessful.

Senior Software Engineer (Back-End) – Remote Overview

We’re looking for an experienced Senior Back-End Developer with deep Java and Spring Boot expertise to help us build scalable, robust microservices and data pipelines for our next-generation fintech platform.

• Design, build, and maintain highly scalable back-end services using Java and Spring Boot.
• Develop RESTful APIs and integrate with messaging systems like Kafka and RabbitMQ.
• Work across relational (Postgres) and NoSQL (Cassandra, OpenSearch, Pinot) databases to deliver high-performing systems.
• Manage data workflows using Kafka and Apache Airflow.
• Implement automated testing strategies with JUnit/Mockito, TestContainers, and BDD frameworks.
• Ensure observability through logging, tracing, and monitoring with Prometheus and Grafana.
• Collaborate with multidisciplinary teams to design secure, efficient, and scalable solutions.

• Strong expertise in Java (concurrency, collections, streams, design patterns).
• Proven experience with Spring Boot, Spring Data, Spring Security, and Hibernate/JPA.
• Solid background in microservices architecture, Docker/Kubernetes, and CI/CD (GitLab CI).
• Knowledge of message-driven architectures, distributed systems, and idempotent pipelines.

• Familiarity with Scala, Python, or reactive programming.
• Experience with Kafka Streams, Kafka Connect, and advanced distributed system design.

At SecuritEase, we’re powering the backbone of capital markets across New Zealand, Australia, South Africa, United Kingdom and beyond.

STA Personnel Solutions South Africa - we are a global Business Process Outsourcing (BPO) company, partnering with a USA Client in the Healthcare Industry and are in search of a Machine Learning Developer / Engineer to join a rapidly expanding team, working remotely.

PLEASE NOTE THE FOLLOWING:

• Working Hours: This role requires you to work USA hours, Mon - Fri, from 9:00am to 6:00pm EST time (15:30pm to midnight South African time). NOTE: These hours are subject to change depending on daylight savings and/or the operational requirements of the company.
• Work Environment: This is a fully remote working role.
• Internet Requirements: A fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection is mandatory. Applicants without a fixed fibre line cannot be considered.
• Power Backup: A reliable power backup solution is required to manage load shedding and power outages. Applicants without a power backup cannot be considered.

• Required Skills: Strong problem-solving and coding skills, more than just a programmer
• Experience building machine learning models

• Random Forest, Gradient Boosting, AutoML
• Performing well on Kaggle machine learning competitions (advantageous)
• 1-2 years of relevant experience
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• Actuarial experience would be an advantage

• Background as an engineer or data scientist, ideally with healthcare experience
• Able to discuss specific models built, methodologies used, and feature engineering approaches

• Develop and implement machine learning models to solve complex business problems from the ground up.
• Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance
• Ensure models are scalable and maintainable
• Perform detailed data analysis to extract meaningful insights
• Conduct feature engineering to improve model accuracy
• Validate and clean data to ensure high-quality datasets for model training
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Collaborate with team members to integrate models into existing systems and workflows
• Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh
• Present data-driven insights through interactive and user-friendly dashboards
• Provide regular reports on model performance and business impact
• Apply machine learning techniques to healthcare-specific problems

If you are not contacted within 14 working days for this role, please consider your application unsuccessful.