Job Vacancies at Ovations Technologies

The Role

• We are looking for a specialised Atlassian Systems Engineer / Consultant to design, architect, and optimise enterprise-scale Atlassian ecosystems for our clients. Operating in an advisory and technical capacity, you will bridge the gap between business strategy and deep technical customisation, driving high-impact migrations, automations, and modern workflow implementations.

What You'll Do

• Architect & Advise: Provide technical pre-sales support and architecture advice; conduct cost-benefit analyses for Cloud vs. Data Centre migrations.
• Deploy & Customise: Design, configure, and deploy Atlassian applications, marketplace integrations, and complex custom enhancements.
• Automate: Build advanced workflows and scripts using Groovy, JavaScript, Python, and Script Runner.
• Modernise: Implement cutting-edge Atlassian Intelligence (AI) features and optimize agile tooling.
• Deliver: Partner with client stakeholders to define system requirements, deliver health checks, and manage change enablement.

What You Bring

• Consulting DNA: Proven experience delivering client-facing solutions within a professional services or consulting environment.
• Atlassian Expertise: Deep technical knowledge of Atlassian Cloud and Data Centre models, backed by 3+ recent migration/deployment projects.
• Mandatory Certification: Current Atlassian Certified Professional (ACP) status.
• Agile & SAFe: Hands-on experience with Agile methodologies; familiarity with Scaled Agile Framework (SAFe) is highly beneficial.
• Code & Scripting: Strong proficiency in Script Runner, Groovy, Python, or JavaScript for custom automation.
• Education: Relevant tertiary qualification (Commerce, Computer Science, or Engineering).

go to method of application »

About the Role

• As a trusted advisor to business leaders, you'll provide end-to-end HR support across the full employee lifecycle, ensuring practical, compliant, and people-focused solutions.
• You'll play a critical role in talent optimisation, performance management, employee relations, and organisational effectiveness—while proactively identifying risks and opportunities through people insights.

Key Responsibilities

• Partner with leadership to translate business strategy into impactful people plans
• Deliver full HR generalist support across the employee lifecycle
• Lead performance management processes (goal setting, reviews, calibration)
• Facilitate talent reviews, succession planning, and development initiatives
• Manage employee relations matters independently (disciplinary, grievances, incapacity, conflict)
• Provide expert guidance on South African labour legislation
• Support organisational change initiatives (restructures, onboarding, integration)
• Use people data (turnover, performance, EE) to drive insights and decisions
• Collaborate with HR specialist teams to deliver integrated solutions
• Contribute to building a high-performance, values-driven culture

What We're Looking For

Qualifications:

• Bachelor's Degree in HR / Industrial Psychology / Labour Relations
• Honours Degree (advantageous)

Experience:

• 3–5 years in an HR Generalist or HRBP role
• Strong experience handling employee relations independently
• Exposure to talent and performance management frameworks
• Financial services or asset management experience (preferred)

Knowledge & Skills:

• Solid understanding of SA labour legislation
• Experience with HR systems (e.g. SuccessFactors)
• Strong communication, facilitation, and stakeholder management skills
• Business acumen and ability to operate in a regulated environment

Advantageous:

• SABPP registration
• Change Management / Coaching certifications
• Enneagram or Insights certification

Key Competencies

• Building Partnerships & Earning Trust
• Independent Thinking & Accountability
• Learning Agility & Forward Thinking
• Conflict Resolution & Change Facilitation
• Strong Work Ethic & Resilience

go to method of application »

Role Overview

• We are seeking a highly skilled Solution Architect to provide end-to-end application systems design, ensuring alignment between business requirements, architectural standards, and optimal resource utilisation.
• The successful candidate will play a key role in shaping scalable, secure, and high-performing solutions aligned with organisational strategy, with a strong focus on Java-based backend systems.

Key Responsibilities

• Lead the design of robust, scalable, and secure application architectures
• Translate business requirements into technical solution designs
• Ensure alignment of architecture with enterprise standards and governance frameworks
• Balance functional requirements with performance, cost, and resource considerations
• Collaborate with stakeholders including business analysts, developers, and enterprise architects
• Guide and support development teams throughout the solution lifecycle
• Ensure integration of systems across complex enterprise environments
• Contribute to continuous improvement of architecture practices and standards

Must-Have Skills & Experience

• Strong Java backend development experience
• Advanced experience in Java J2EE and/or Spring Boot
• Proven experience in Solution Architecture within enterprise environments
• Strong understanding of system design, integration patterns, and API development
• Experience working in complex, large-scale financial or enterprise systems

Nice to Have

• Experience within banking or financial services environments
• Exposure to cloud platforms and microservices architecture
• Knowledge of DevOps practices and CI/CD pipelines
• Strong stakeholder engagement and leadership capabilities

go to method of application »

• We are seeking highly skilled Quantitative Analyst Consultants to join our Global Markets Portfolio. This role is ideal for professionals with strong quantitative modelling, trading systems, and derivatives experience who thrive in fast-paced financial markets environments.
• You will play a key role in ensuring trading strategies, analytics, and integration solutions align with broader business objectives and market requirements.

Key Responsibilities

• Collaborate with cross-functional teams to analyse and document existing non-linear trading functionality and its business usage
• Analyse the financial costs of risk and uncertainty
• Lead future trading integration solution design through existing APIs and backend integrations
• Act as a liaison between technical teams and business stakeholders to ensure smooth project execution
• Support inflight trading and quantitative analytics initiatives
• Provide expert support and training to internal teams and platform users
• Conduct product reviews and recommend improvements aligned to market trends and business needs

Qualifications

One or more of the following:

• BSc Mathematical Sciences (Computational Science)
• BSc Financial Engineering
• BSc Actuarial Science & Financial Mathematics
• BEng Engineering
• CQF – Certificate in Quantitative Finance
• CFA – Chartered Financial Analyst
• FRM – Financial Risk Manager

Required Experience & Skills

Quantitative & Trading Experience

• Cross Asset Trading & Risk (CATR) – Quantitative Analysis
• Derivatives Trading (Volatility)
• X Valuations & Analytics
• Trading Platforms

Strong experience with:

• Front Arena
• Murex
• Calypso

Technical Skills

• Python
• C++
• C#
• SQL
• VBA
• R
• Matlab
• Java

Key Competencies

• Strong analytical and problem-solving capabilities
• Deep understanding of financial modelling and trading systems
• Knowledge of risk management practices and regulatory requirements
• Strong project delivery and stakeholder management experience
• Excellent communication and interpersonal skills
• Ability to lead cross-functional teams and manage multiple initiatives
• Strategic thinking with strong business alignment capability
• Adaptability in changing market and technology environments

go to method of application »

Role Purpose

• Lead the design, build, and deployment of production-grade AI solutions on Microsoft Azure. Own end-to-end delivery—from data pipelines to model deployment, ensuring security, reliability, and compliance.

Responsibilities

• Design and implement AI solutions using Azure AI services (OpenAI, AI Search, Machine Learning).
• Develop secure APIs and integrate with enterprise systems using Azure API Management and Event Hub.
• Containerize workloads and deploy to AKS, App Service, or Functions with CI/CD pipelines.
• Ensure observability, performance tuning, and cost optimization for AI workloads.
• Collaborate with cross-functional teams and document architecture, runbooks, and best practices.
• Azure AI & ML: Azure OpenAI Service, AI Studio, AI Search, Azure Machine Learning.
• Data & Integration: Data Lake Storage, Synapse/Fabric, Data Factory, Event Hub, API Management.
• Compute & Hosting: AKS, Azure Functions, App Service; IaC with Bicep/ARM/Terraform.
• DevOps/MLOps: Azure DevOps or GitHub Actions, MLflow integration, telemetry dashboards.
• Languages: Python (required), plus C#/.NET or TypeScript/Node; LangChain or Semantic Kernel preferred.
• 7+ years in software/ML engineering, with 3+ years delivering production AI solutions on Azure.
• Proven track record of shipped solutions with architecture diagrams and runbooks.
• Expertise in RAG system design, prompt engineering, and performance optimization.
• Strong data engineering skills and secure integration patterns.
• Applied knowledge of Responsible AI principles and compliance requirements.
• Outcome-oriented with strong problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Collaborative leadership and mentoring capability.
• Adaptability to ambiguity and incremental delivery approaches.
• Experience with Microsoft Fabric and Databricks on Azure.
• Domain experience in financial services.
• Azure AI Engineer Associate certification or equivalent.

Core Tech Stack

• Azure AI & ML: Azure OpenAI Service, AI Studio, AI Search, Azure Machine Learning.
• Data & Integration: Data Lake Storage, Synapse/Fabric, Data Factory, Event Hub, API Management.
• Compute & Hosting: AKS, Azure Functions, App Service; IaC with Bicep/ARM/Terraform.
• DevOps/MLOps: Azure DevOps or GitHub Actions, MLflow integration, telemetry dashboards.
• Languages: Python (required), plus C#/.NET or TypeScript/Node; LangChain or Semantic Kernel preferred.

Required Experience

• 7+ years in software/ML engineering, with 3+ years delivering production AI solutions on Azure.
• Proven track record of shipped solutions with architecture diagrams and runbooks.
• Expertise in RAG system design, prompt engineering, and performance optimization.
• Strong data engineering skills and secure integration patterns.
• Applied knowledge of Responsible AI principles and compliance requirements.

Nice-to-Have

• Experience with Microsoft Fabric and Databricks on Azure.
• Domain experience in financial services.
• Azure AI Engineer Associate certification or equivalent.

Qualifications

• Degree in Computer Science/Engineering/Math or equivalent industry experience.

go to method of application »

• This is a 12 – month contract with our client in the banking sector.

Minimum Requirements

• Education: Advanced Diploma, National 1st Degree, or BSc in Information Technology.
• Experience: 3–6 years of experience encompassing test analysis/design, test automation, and core development.
• Methodologies: Practical experience in Agile delivery, Continuous Delivery models, TDD, and BDD.
• Architectural Skills: Ability to understand and interpret logical solution architecture.

Technical Requirements

• Languages: Object-oriented programming with strong proficiency in Java.
• Automation Frameworks: Selenium, Appium, RestAssured, and Karate.
• API & Mobile: Toolsets for SOAP, RESTful services, and mobile test automation.
• Non-Functional Testing (NFT): Performance, load, and vulnerability testing using tools like JMeter.
• DevOps & Tools: Solid understanding of DevOps pipelines, Jira, and service/data virtualization.

Core Responsibilities

• Automation Delivery: Build and maintain reusable, scalable test automation assets that ensure sprint coverage using the enterprise automation test kit.
• Pipeline Integration: Integrate and execute automated test suites directly within DevOps pipelines.
• Agile Collaboration: Participate in backlog grooming, sprint planning, sizing, and daily standups; systematically break down business needs into stories and epics.
• Defect & Risk Management: Log defects accurately, perform root-cause analysis with stakeholders, and flag product risks to the QA Lead.
• Team Alignment: Partner with Architects and Product Owners to meet client expectations, align with the New Way of Working (nWoW), and mentor junior Software Test Engineers.