Key Responsibilities

• Design, build and support AWS cloud infrastructure for the BaaS platform.
• Implement and manage secure, scalable and resilient cloud-native solutions.
• Provision, configure and optimise AWS services, including compute, storage and networking.
• Implement security controls, IAM policies and compliance requirements.
• Support CI/CD pipelines and deployment automation using DevOps best practices.
• Monitor cloud performance, availability and cost optimisation.
• Support integration between AWS, on-premise and third-party environments.
• Collaborate with application, data and integration teams to deliver cloud solutions.
• Provide operational support, incident resolution and environment maintenance.

Requirements

• Proven experience designing and supporting AWS cloud infrastructure.
• Strong knowledge of AWS services, networking, IAM, security and cloud architecture.
• Experience with Infrastructure as Code (e.g., CloudFormation or Terraform).
• Experience implementing CI/CD pipelines and DevOps practices.
• Knowledge of cloud monitoring, logging and cost optimisation.
• Experience integrating cloud and on-premise environments.
• Banking or financial services experience is advantageous.
• Relevant degree in IT, Computer Science, or a related field.
• AWS certifications (e.g., AWS Certified Solutions Architect, SysOps Administrator, or DevOps Engineer) advantageous.

Key Responsibilities

• Design, build and support AWS cloud infrastructure for the BaaS platform.
• Implement and manage secure, scalable and resilient cloud-native solutions.
• Provision, configure and optimise AWS services, including compute, storage and networking.
• Implement security controls, IAM policies and compliance requirements.
• Support CI/CD pipelines and deployment automation using DevOps best practices.
• Monitor cloud performance, availability and cost optimisation.
• Support integration between AWS, on-premise and third-party environments.
• Collaborate with application, data and integration teams to deliver cloud solutions.
• Provide operational support, incident resolution and environment maintenance.

Requirements

• Proven experience designing and supporting AWS cloud infrastructure.
• Strong knowledge of AWS services, networking, IAM, security and cloud architecture.
• Experience with Infrastructure as Code (e.g., CloudFormation or Terraform).
• Experience implementing CI/CD pipelines and DevOps practices.
• Knowledge of cloud monitoring, logging and cost optimisation.
• Experience integrating cloud and on-premise environments.
• Banking or financial services experience is advantageous.
• Relevant degree in IT, Computer Science, or a related field.
• AWS certifications (e.g., AWS Certified Solutions Architect, SysOps Administrator, or DevOps Engineer) advantageous.

Key Responsibilities

• Analyse data across BaaS source and target systems.
• Define and maintain source-to-target data mappings.
• Support ETL, data transformation, validation and reconciliation activities.
• Identify and resolve data quality issues and anomalies.
• Produce data definitions, metadata and business rule documentation.
• Collaborate with technology, business and compliance teams.
• Support regulatory reporting, including KYC, AML and transaction monitoring.

Key Deliverables

• Source-to-target data mapping documents.
• Data quality assessment reports.
• Data validation and reconciliation results.
• Sample datasets for testing and onboarding.
• Data definitions and metadata documentation.
• Audit and compliance support documentation.

Requirements

• Proven experience as a Data Analyst in banking or financial services.
• Strong SQL and data analysis skills.
• Experience with data mapping, ETL, data validation and reconciliation.
• Knowledge of data governance, KYC, AML and regulatory reporting.
• Experience working in Agile environments and using Jira is advantageous.
• Relevant degree in IT, Computer Science, Data Science, or a related field.

Key Responsibilities

• Analyse data across BaaS source and target systems.
• Define and maintain source-to-target data mappings.
• Support ETL, data transformation, validation and reconciliation activities.
• Identify and resolve data quality issues and anomalies.
• Produce data definitions, metadata and business rule documentation.
• Collaborate with technology, business and compliance teams.
• Support regulatory reporting, including KYC, AML and transaction monitoring.

Key Deliverables

• Source-to-target data mapping documents.
• Data quality assessment reports.
• Data validation and reconciliation results.
• Sample datasets for testing and onboarding.
• Data definitions and metadata documentation.
• Audit and compliance support documentation.

Requirements

• Proven experience as a Data Analyst in banking or financial services.
• Strong SQL and data analysis skills.
• Experience with data mapping, ETL, data validation and reconciliation.
• Knowledge of data governance, KYC, AML and regulatory reporting.
• Experience working in Agile environments and using Jira is advantageous.
• Relevant degree in IT, Computer Science, Data Science, or a related field.

Skills & Experience Required:

 Technical Stack:

• Strong proficiency in SSIS (SQL Server Integration Services) – candidates should demonstrate extensive experience in developing, optimising, and maintaining SSIS packages in a production environment.
• Proven ability to perform 24/7 on-call support and handle production support issues effectively and independently.
• Ability to balance operational responsibilities with new development – we’re looking for someone who is not only strong in maintaining and supporting existing systems but also has the capability to drive and implement new projects independently.
• Self-starter with the confidence to take ownership of deliverables, proactively identify issues, and provide solutions without needing constant direction.
• Strong SQL and data modelling skills (dimensional and normalised)
• Proficient in Python or Scala
• Strong SSIS knowledge
• Experience with Spark (PySpark preferred)
• Experience with cloud platforms, ideally AWS (e.g., S3, Glue, Athena, EMR)
• Knowledge of data warehouse and data lake architectures
• Exposure to CI/CD pipelines and containerization (e.g., Docker, GitLab CI)

Production Support Requirements:

This role includes participation in a rotational production support schedule. The successful candidate must be willing and able to:

• Be on call every third week as part of a structured support roster.
• Respond to after-hours callouts, including late-night or early-morning alerts.
• Support and troubleshoot issues in the nightly batch process to ensure successful completion.
• Work collaboratively with operations and infrastructure teams to resolve time-sensitive issues under pressure.
• Maintain logs, escalate critical incidents, and ensure accurate handovers.
• This support responsibility is critical to ensure the availability and continuity of data services required by business users and systems across the enterprise.
   

 Requirements

 Education

• Matric (required)
• Relevant tertiary qualification (Bachelor’s Degree, Diploma, or recognised certification from an accredited institution)

Please Note:
As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation; we embrace diversity and employ previously disadvantaged individuals.

Key Responsibilities
– Design, implement, and manage Kubernetes clusters, ensuring high availability and security on bare-metal systems.
– Bootstrap virtual machines and configure all Kubernetes-related tooling to meet operational requirements.
– Manage and optimize cluster networking, storage solutions, and secrets management processes.
– Implement and maintain RBAC (Role-Based Access Control) across multiple team environments for secure access management.
– Develop and apply observability practices, including logging and monitoring, to maintain system health and performance.
– Perform routine cluster BAU (Business As Usual) tasks, including upgrades, patching, and resource optimization.
– Collaborate with cross-functional teams to troubleshoot and resolve technical issues in Kubernetes environments.
– Document processes, architectures, and configurations to enhance team knowledge and operational efficiency.

Requirements
– Demonstrable experience in building and managing production-grade Kubernetes clusters, particularly on bare-metal infrastructure.
– Strong Linux system administration skills, with a practical understanding of networking and storage systems.
– Proven track record in implementing and maintaining CI/CD pipelines within Kubernetes environments.
– Proficiency in configuring secrets management and security best practices within Kubernetes.
– Comfortable working with observability tools for performance monitoring and incident response.
– Ability to work effectively in a collaborative team environment and communicate technical concepts clearly.
– Familiarity with scripting languages such as Bash, Python, or Go for automation tasks is essential.

Preferred Qualifications
– Experience with cloud-native technologies and container orchestration beyond Kubernetes is a plus.
– Relevant certifications in Kubernetes (e.g., CKA, CKAD) or cloud platforms are advantageous.
– Understanding of service mesh technologies and distributed system architectures is beneficial.

We are an equal opportunity employer and welcome applications from all individuals in line with the Employment Equity Act. We celebrate diversity and are committed to creating an inclusive environment for all employees.

This is an excellent opportunity for a technically strong BI professional who enjoys combining analytics, data engineering and stakeholder engagement to deliver impactful reporting solutions.

Key Responsibilities

• Design, develop and maintain interactive Power BI dashboards, reports and visualisations that support business decision-making.
• Lead and contribute to Power BI transformation and continuous improvement initiatives.
• Improve the look, feel, usability and performance of existing reports and dashboards.
• Build, maintain and optimise data pipelines and data engineering solutions that support business intelligence reporting.
• Develop and maintain data models to ensure accurate, reliable, and scalable reporting.
• Work closely with business stakeholders to gather requirements and translate them into effective BI solutions.
• Identify opportunities to improve reporting processes, delivery efficiency and overall solution quality.
• Ensure data accuracy, integrity and compliance with organisational standards.
• Collaborate with cross-functional teams to deliver high-quality BI solutions within agreed timelines.
• Provide technical guidance and promote best practices within the BI reporting environment.

Minimum Requirements

• Relevant tertiary qualification in Information Technology, Computer Science, Data Analytics, Engineering, or a related discipline.
• Microsoft Power BI Certification (required).
• Microsoft Certified: Azure Data Engineer Associate (required).
• Proven experience leading or driving Power BI transformation initiatives.
• Strong hands-on experience developing enterprise Power BI dashboards and reports.
• Experience in data engineering, ETL development and data integration.
• Strong SQL and data modelling skills.
• Experience working with large and complex datasets.
• Excellent analytical, problem-solving and stakeholder engagement skills.

Technical Skills

• Microsoft Power BI
• Data Engineering
• SQL
• Data Modelling
• ETL Development
• Data Integration
• Data Warehousing
• Business Intelligence
• Dashboard & Report Development
• Data Visualisation
• Performance Optimisation
• Data Governance

Advantageous Skills

• Experience with Ab Initio.
• Experience working in large enterprise or financial services environments.
• Knowledge of Agile delivery methodologies.

Working Model

This is a hybrid role. The successful candidate will be expected to work from the office on designated office days to collaborate closely with the team. Candidates located within a reasonable commuting distance will be preferred, as regular in-person collaboration will support quicker onboarding, knowledge sharing and successful delivery.

This is an opportunity to work on a large-scale, business-critical programme involving complex accounting, procurement, and pre-payment approval processes across multiple systems. The project requires an experienced SQL specialist who can quickly understand complex business logic, analyse existing solutions, and build scalable, high-performing SQL solutions.

Key Responsibilities

• Develop, optimise, and maintain complex SQL solutions and stored procedures.
• Analyse and interpret detailed business requirements and translate them into robust technical solutions.
• Review and understand existing SQL code and business logic.
• Rebuild, optimise, and stabilise SQL components where required.
• Work closely with business and technical stakeholders to deliver high-quality solutions.
• Support the acceleration of a large, business-critical programme operating under tight delivery timelines.

Required Skills & Experience

• Strong experience as a SQL Developer.
• Advanced SQL Server and T-SQL development skills.
• Extensive experience developing and optimising complex stored procedures.
• Strong understanding of relational database design and performance tuning.
• Experience analysing existing code and translating business requirements into technical solutions.
• Ability to work independently in complex enterprise environments.
• Strong analytical and problem-solving skills.

Advantageous

• Experience within the banking or financial services sector.
• Experience working on large-scale enterprise integration projects.

Key Responsibilities

• Design, develop and maintain scalable data pipelines and ETL processes.
• Build and manage cloud-based data solutions within AWS environments.
• Develop and optimise data integration workflows using AWS services and orchestration tools.
• Ensure data quality, reliability, security and governance across data platforms.
• Collaborate with data analysts, data scientists, architects and business stakeholders to understand data requirements.
• Monitor, troubleshoot and optimise data pipelines for performance and scalability.
• Implement best practices for data engineering, automation and DevOps processes.
• Support data warehousing and analytics initiatives.

Preferred Experience

• 5+ years of Data Engineering experience.
• Experience working in cloud-native AWS environments.
• Proven track record of delivering enterprise-scale data integration and ETL solutions.

Required Skills & Experience

• Proven experience as a Data Engineer or Senior Data Engineer.
• Strong hands-on experience with AWS cloud services.
• Experience developing and managing ETL/ELT pipelines.
• Strong experience with AWS Glue.
• Experience with Apache Airflow for workflow orchestration and scheduling.
• Proficiency in SQL and data modelling concepts.
• Experience working with large-scale datasets and distributed data processing frameworks.
• Strong understanding of data architecture and data integration principles.
• Experience with version control and CI/CD practices.

Advantageous Skills

• Experience with dbt (Data Build Tool).
• Experience with modern data warehouse technologies.
• Exposure to data lake architectures.
• Knowledge of Python or other programming languages is used in data engineering.
• Experience with Agile development methodologies.

Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field.
• Relevant AWS certifications would be advantageous.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently and within cross-functional teams.
• Strong attention to detail and commitment to delivering high-quality solutions.
• Ability to manage multiple priorities in a fast-paced environment.

We are seeking an experienced Intermediate – Senior Data Engineer to support the development, maintenance and optimisation of data solutions within a Procurement Technology environment. The successful candidate will have strong SQL and Azure expertise, with experience in Power Platform technologies and reporting solutions.

Key Responsibilities

• Design, develop and maintain data solutions using SQL and Azure.
• Build and enhance Power BI dashboards and reporting solutions.
• Provide production support, troubleshooting, bug fixes and performance optimisation.
• Develop, test, document and deploy application enhancements and data solutions.
• Perform code optimisation, system integration testing and deployment activities.
• Execute database maintenance, ad hoc queries and data-related changes.
• Ensure compliance with change management, audit and governance processes.
• Participate in Agile ceremonies and collaborate with cross-functional teams.
• Provide technical guidance, knowledge sharing and support continuous improvement initiatives.

Requirements

Essential Skills

• Strong SQL development experience with the ability to build complex solutions.
• Hands-on Azure experience.
• Experience with Power BI, Power Apps and Power Automate.
• Knowledge of ITSM processes and production support.
• Ability to independently maintain, troubleshoot and optimise solutions.

Preferred Skills

• Microsoft Fabric experience.
• Experience working in Agile/SAFe environments.

Experience & Qualifications

• 5+ years’ experience for Intermediate level; 7+ years for Senior level.
• Relevant Degree, Diploma, or equivalent IT qualification.
• Microsoft Azure or Data Engineering certifications are advantageous.

The role combines Run-the-Bank (RTB) support and Change-the-Bank (CTB) initiatives, ensuring the stability, optimisation and continuous improvement of procurement technology platforms and data solutions.

Key Responsibilities

Production Support (Run the Bank)

• Provide application and production support for Procurement Technology solutions.
• Investigate, troubleshoot and resolve incidents, defects and production issues.
• Monitor applications and perform corrective and preventative maintenance.
• Develop and maintain reports, dashboards and data solutions.
• Execute changes in accordance with Change and Release Management processes.
• Write and optimise SQL queries and database scripts.
• Participate in disaster recovery planning, testing and execution.
• Ensure compliance with audit, governance and security requirements.
• Provide knowledge transfer and mentorship to internal teams.

Solution Delivery (Change the Bank)

• Analyse business and user requirements.
• Design and develop scalable data and reporting solutions.
• Build, enhance and maintain data warehouse and business intelligence platforms.
• Develop ETL/ELT processes and data integration solutions.
• Ensure alignment with enterprise architecture standards.
• Perform code optimisation and quality assurance reviews.
• Conduct component and integration testing.
• Plan and execute deployment, migration and cutover activities.
• Provide technical leadership and best-practice guidance on data architecture and cloud technologies.

Agile Delivery

• Participate in SAFe Agile ceremonies including:
• PI Planning
• Daily Stand-ups
• Scrum of Scrums
• System Demos
• Inspect and Adapt Workshops
• Provide accurate effort estimates and delivery plans.
• Own and deliver assigned sprint and program increment objectives.
• Communicate progress, risks and blockers to stakeholders.

Required Technical Skills

Data Engineering & BI

• SQL Server
• T-SQL Development
• SSIS (SQL Server Integration Services)
• SSRS (SQL Server Reporting Services)
• SSAS (SQL Server Analysis Services)
• Data Warehousing
• Data Modelling
• Data Analysis
• Business Intelligence Development
• Power BI
• Power Pivot (Excel)

Development

• C#
• Database Development and Optimisation
• Query Performance Tuning

Cloud Technologies

• Microsoft Azure Fundamentals
• Azure Data Services
• Azure Fabric/Microsoft Fabric
• Cloud Engineering Concepts

Required Certifications

The following certifications are highly advantageous:

• AZ-900: Microsoft Azure Fundamentals
• AZ-204: Developing Solutions for Microsoft Azure
• DP-700: Microsoft Fabric Data Engineer Associate

Experience Required

• 5+ years of experience in Data Engineering, Business Intelligence, or Data Warehouse Development.
• Proven experience supporting enterprise-scale applications in a production environment.
• Experience working within Agile and SAFe delivery frameworks.
• Strong experience with Microsoft SQL Server technologies.
• Experience delivering cloud-based data and analytics solutions using Azure.
• Banking or financial services experience will be advantageous.

Key Competencies

• Strong analytical and problem-solving skills
• Excellent stakeholder engagement skills
• Attention to detail
• Ability to work independently and within Agile teams
• Strong communication and documentation skills
• Continuous improvement mindset
• Ability to manage multiple priorities in a fast-paced environment

This role requires expertise in cloud architecture, automation and DevOps practices, along with a deep understanding of data security, compliance and high-availability systems critical to banking operations.

Key Responsibilities:
Cloud Architecture & Design

• Design, build, and manage secure, high-performance AWS cloud environments that meet banking-grade standards for security, resiliency, and compliance.

Security & Compliance

• Implement and manage security controls aligned with banking regulations

Infrastructure as Code & Automation

• Develop and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or AWS CDK to automate provisioning and configuration.

Cloud Operations & Support

• Monitor cloud resources and performance using CloudWatch, CloudTrail, GuardDuty, and Security Hub.

Collaboration & Leadership

• Partner with Developers, DevOps Engineers, and Database Administrators to deliver secure and scalable solutions.

Preferred Skills & Certifications:

• Experience with Kubernetes/EKS, Docker, or containerized application deployments.
• Knowledge of hybrid cloud or on-prem to cloud migration strategies (VMware Cloud on AWS, Outposts).
• Familiarity with data lake architectures (AWS Lake Formation, Glue, Redshift) for financial analytics.
• Experience with monitoring and logging tools (Splunk, Datadog, ELK Stack

Required Qualifications & Experience:

• Bachelor’s degree in computer science, Information Technology, or related field (or equivalent experience).
• 5–8 years of professional IT experience, with 3–5+ years focused on AWS cloud engineering.
• Proven expertise in key AWS services, including:
• Compute: EC2, Lambda, Auto Scaling
• Storage: S3, EBS, Glacier
• Networking: VPC, Direct Connect, Transit Gateway, Route 53
• Database: RDS, DynamoDB, Aurora
• Security: IAM, KMS, WAF, Shield, Security Hub
• Strong knowledge of financial industry security standards (PCI DSS, SOC 2, ISO 27001, POPIA, GDPR).
• Experience implementing multi-account AWS Organizations with Service Control Policies (SCPs).
• Hands-on experience with Terraform or CloudFormation for large-scale deployments.
• Proficiency with Linux/Unix system administration, shell scripting (Bash, Python, PowerShell).
• Strong understanding of networking concepts (firewalls, VPNs, DNS, load balancers, private connectivity).
• Demonstrated ability to build high-availability, fault-tolerant architectures for financial applications.

Role Purpose

We are seeking an experienced Data Strategy & AI Transformation Lead to define and shape the future-state data landscape for our client. The role will focus on developing an AI-ready data strategy, improving data integration and governance and enabling advanced analytics, automation and data-driven decision-making across the organisation.

The successful candidate will assess the current (“as-is”) data environment and design a future-state data strategy, supported by a phased implementation roadmap that delivers measurable value in the short, medium and long term.

Key Responsibilities

• Analyse and document the current (“as-is”) data and system landscape, including data inflows and outflows.
• Design a future-state AI-enabled data architecture and strategy aligned to business objectives.
• Identify opportunities to improve data usage, integration, governance and efficiency across systems.
• Define and articulate data strategy options supporting analytics, automation and AI use cases.
• Develop a phased implementation roadmap (short-,medium-and long-term) to transition to the target state.
• Identify and prioritise value-driven use cases to unlock data potential across the department.
• Ensure alignment between data strategy, business processes, and technology capabilities.
• Provide strategic input into data governance and data management frameworks.
• Support the organisation in building a scalable, sustainable and innovation-driven data ecosystem.

Required Experience & Skills

• Proven experience in data strategy, data architecture, or enterprise data transformation.
• Strong understanding of data ecosystems, integration and data flow modelling.
• Experience designing AI-ready or analytics-enabled data environments.
• Knowledge of data governance, data management and data quality frameworks.
• Experience delivering roadmaps and enterprise transformation strategies.
• Strong stakeholder engagement and communication skills (technical and business).
• Ability to translate complex data environments into clear strategic direction.

We are seeking detail-orientated AML Refresh Consultants to support a large-scale Anti-Money Laundering (AML) refresh programme within a leading financial services environment.

This is a contract opportunity based in Johannesburg, with a 3-day in-office presence and suited to professionals who are comfortable working in high-volume, delivery-driven environments while maintaining a strong focus on compliance, quality, and customer interaction.

You will play a key role in supporting customer due diligence (CDD) reviews, engaging directly with clients, and contributing to the integrity of AML processes.

Key responsibilities and output areas include the following:

CDD & AML Delivery

• Conduct customer due diligence (CDD) reviews in line with AML refresh procedures and contact strategies.
• Ensure cases are initiated and completed within timelines, maintaining accuracy and completeness of documentation.
• Verify customer identity, update profiles, and assess or adjust risk ratings as required.
• Respond to client queries via phone and email, managing interactions professionally and efficiently.

Risk Assessment & Compliance

• Analyse customer behaviour and transaction patterns to identify potential risks or suspicious activity.
• Support AML compliance by adhering to regulatory requirements and internal controls.
• Investigate and escalate suspicious activities to the appropriate reporting channels.

Collaboration & Quality

• Collaborate with internal stakeholders across compliance, legal, risk, and technology teams.
• Maintain accurate documentation and ensure all outputs meet required quality assurance standards.
• Support improvement initiatives by identifying process gaps and corrective actions.

Customer Engagement in Practice

• Engage with clients in a high-volume environment, managing queries, objections, and escalations calmly and professionally.
• Balance service delivery expectations with strict compliance and process adherence.

Key Requirements

• Experience in AML, KYC, or customer due diligence environments
• Background in a call centre or high-volume customer interaction role is advantageous
• Strong attention to detail and ability to manage structured, process-driven work
• Ability to handle difficult or escalated customer interactions professionally
• Effective communication and stakeholder engagement skills
• Resilience and ability to perform under pressure
• Must be willing to travel to the office 3 days a week

Technical & Domain Knowledge

• Understanding of AML regulations, compliance frameworks, and risk management principles
• Exposure to AML tools, case management systems, or transaction monitoring platforms
• Familiarity with audit, documentation, and regulatory reporting requirements

Please Note:

As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information, our recruitment process requires the following background checks: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation. We embrace diversity and employ previously disadvantaged individuals.

Key Responsibilities
– Design, develop, and maintain scalable Java applications to support payment processing systems.
– Collaborate with cross-functional teams to gather and analyze business requirements and translate them into technical specifications.
– Write clean, efficient, and well-documented code following best practices in software development.
– Perform code reviews and provide constructive feedback to team members to ensure high-quality output.
– Troubleshoot and resolve production issues in a timely manner, ensuring minimal disruption to services.
– Stay current with emerging technologies and industry trends, integrating innovative solutions into existing systems.
– Mentor junior developers, sharing knowledge and expertise to promote continuous learning within the team.
– Participate in agile methodologies, contributing to sprint planning, reviews, and retrospectives.

Requirements
– Proven track record in Java application development, particularly within the banking or finance sector.
– Demonstrable experience with payment processing systems and financial transaction applications.
– Strong proficiency in Java frameworks, such as Spring and Hibernate.
– Solid understanding of databases and experience with SQL, particularly in relational database management systems.
– Familiarity with RESTful APIs and microservices architecture.
– Excellent problem-solving skills and attention to detail.
– Strong communication skills, with the ability to collaborate effectively in a team environment.

Preferred Qualifications
– Experience with cloud-based technologies and deployment strategies, such as AWS or Azure.
– Knowledge of regulatory requirements and compliance standards in the financial industry.
– Familiarity with front-end technologies like JavaScript, Angular, or React.
– Relevant certifications in Java development or cloud computing.

We are committed to creating a diverse and inclusive environment for all employees. In line with the Employment Equity Act, we encourage applications from all qualified candidates regardless of their background.