Latest Jobs at Ovations Technologies

Role Purpose

• The Quality Assurance (QA) Tester is responsible for ensuring the quality, stability, reliability, security, and performance of solutions delivered across the Digitisation & Automation portfolio.
• The role covers RPA and Bot solutions, Power Apps, Power Automate workflows, AI Agents and Copilot solutions, Azure AI Foundry solutions, APIs and system integrations, and end-to-end automated business processes. The role implements quality engineering, test automation, and continuous testing approaches to support production-ready solutions that meet business, security, and regulatory requirements.

Key Responsibilities

• Test Planning and Quality Engineering
• Automation and Digital Solution Testing
• RPA and Intelligent Automation
• Power Platform Solutions
• AI and Copilot Solutions
• API and Integration Testing
• AI Quality Assurance Responsibilities
• Test Automation and Continuous Quality Engineering
• Quality Management

Technical Skills

Essential

• Software testing, quality assurance, and test automation frameworks.
• Functional, regression, integration, API, and end-to-end process testing.
• Power Platform, RPA, AI Agent, and Copilot testing concepts.
• Defect management, Agile delivery methodologies, and continuous quality engineering.

Advantageous

• Microsoft Copilot Studio, Azure AI Foundry, Power Platform, Power Automate, UiPath, or Automation Anywhere.
• Azure DevOps, PowerShell, SQL, REST APIs, performance testing, security testing, and CI/CD pipelines.

Experience

• 3-5 years of experience testing enterprise solutions.
• Experience testing automation, workflow, Power Platform, APIs, and integrations.
• Experience working in Agile delivery teams and with test automation frameworks.
• Exposure to AI-enabled solutions, Generative AI agents, chatbots, or Copilot solutions is advantageous.

Qualifications

• Degree or diploma in Information Technology, Computer Science, Software Engineering, Information Systems, or a related technical discipline.

Certifications

• Mandatory
• ISTQB Foundation Certification.

Preferred

• Microsoft Power Platform Certification: PL-100 and/or PL-200.
• Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent.
• Test automation-related certification.
• Microsoft Azure Fundamentals (AZ-900).
• Microsoft Azure AI Fundamentals (AI-900).

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• Are you a hands-on technical leader who can drive engineering excellence across automation, AI, low-code platforms, integrations, and software development?
• We're looking for an experienced Engineering Lead to lead the technical implementation, engineering standards, infrastructure planning, and governance of Digitization and Automation (DnA) solutions.
• This is a hands-on leadership role for someone who can design and build technical solutions, conduct code reviews, develop proof-of-concepts, guide engineering teams, and ensure solutions are secure, scalable, maintainable, and production-ready.

Key Responsibilities

• Provide technical leadership across RPA, Power Platform, AI, intelligent automation, integrations, and custom development.
• Define and maintain engineering standards, frameworks, reusable components, and best practices.
• Translate approved solution designs into practical engineering and implementation approaches.
• Design and review technical architectures, infrastructure, deployment models, and integrations.
• Build proof-of-concepts, technical prototypes, and reference implementations.
• Conduct code reviews and guide developers on coding standards, testing, security, and design patterns.
• Support technical governance, architecture reviews, and production-readiness processes.
• Identify technical risks and resolve complex engineering and integration challenges.
• Drive DevOps, DevSecOps, CI/CD, and continuous engineering improvement.
• Mentor developers, automation specialists, and engineers.

Technical Requirements

The ideal candidate should have practical engineering experience across several of the following:

• RPA: Blue Prism or equivalent
• Microsoft Power Platform: Power Apps, Power Automate, Copilot Studio
• Software Development: .NET and/or Java
• API and Integration Development
• Microsoft Azure Cloud Services
• AI and Intelligent Automation Solutions
• DevOps and CI/CD practices
• Infrastructure and deployment design
• Application security and engineering governance

Qualifications & Experience

• Degree in Computer Science, Information Technology, Engineering, or a related field.
• 8+ years' experience in software engineering, automation, systems development, or solution delivery.
• Experience across traditional software development and low-code/automation technologies.
• Demonstrated .NET and/or Java development experience.
• Experience producing technical designs and infrastructure artefacts.
• Proven experience in code reviews and technical leadership.

Advantageous:

• Banking or financial services experience.
• Experience with AI, Azure, and enterprise integration solutions.
• Exposure to governance and production-readiness processes.
• Relevant Microsoft, Azure, Power Platform, Blue Prism, or architecture certifications.

What We're Looking For

• A hands-on engineering leader who can move between technical design, coding, infrastructure planning, code reviews, and mentoring. You should be comfortable guiding multiple engineering workstreams while ensuring high standards of quality, security, scalability, and maintainability.

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• Are you passionate about Artificial Intelligence, product innovation, and delivering technology solutions that create measurable business value?
• We are looking for an experienced AI Product Manager to drive the strategy, development, delivery, and continuous improvement of AI-enabled products. The successful candidate will bridge the gap between business needs, user experience, data science, and technical delivery to ensure AI solutions deliver meaningful business outcomes.

Key Responsibilities:

• Identify and prioritise AI opportunities based on business value, feasibility, data readiness, cost, and risk.
• Define product requirements, user stories, features, acceptance criteria, and product roadmaps.
• Collaborate with data scientists, ML engineers, researchers, architects, and development teams to guide AI product development.
• Assess AI models and technology solutions against product requirements, performance, cost, security, and scalability.
• Define data requirements and coordinate data readiness, quality, access, and governance.
• Establish evaluation frameworks, performance metrics, pilot programmes, proof of concepts (PoCs), and testing strategies.
• Monitor product performance, adoption, quality, costs, and business outcomes to drive continuous improvement.
• Ensure responsible AI practices, governance, privacy, risk management, and regulatory compliance are incorporated throughout the product lifecycle.
• Develop business cases, ROI assessments, value propositions, and pricing strategies for AI-enabled products.
• Drive stakeholder engagement, change management, user adoption, and benefits realisation.

Minimum Requirements:

• Experience in product management, business analysis, or software development lifecycle (SDLC) practices.
• Proven experience in product roadmap development, backlog prioritisation, Agile methodologies, and cross-functional delivery.
• Foundational to intermediate knowledge of AI, Machine Learning, and Generative AI, supported by relevant certifications.
• Experience with data-driven products, data quality, data governance, data modelling, and data readiness.
• Exposure to pilots, proof of concepts, A/B testing, and model evaluation frameworks.
• Proficiency in analytics and monitoring tools such as Power BI, Tableau, Qlik, Azure Monitor, Application Insights, or equivalent.
• Knowledge of Responsible AI, AI governance, risk management, privacy, and ethical AI practices.
• Experience developing business cases, financial models, ROI assessments, cost-benefit analyses, and pricing strategies.
• Strong stakeholder management, communication, analytical, and problem-solving skills.

Advantageous Qualifications:

• A Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Business Science, or a related field.
• Certifications in Product Management, Agile delivery, Business Analysis, AI, or Data disciplines, such as PSPO, CSPO, SAFe POPM, CBAP, or equivalent.
• Experience delivering AI, analytics, digital transformation, or enterprise technology initiatives within large organisations.

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Role Overview

• We are looking for a Senior Integration Analyst / Developer with deep expertise in IBM Cloud Pak for Integration (CP4I). In this role, you will bridge the gap between functional analysis and hands-on technical development—translating enterprise integration specs into secure, containerized solutions using the IBM stack on Red Hat OpenShift.

Key Responsibilities

• Architecture & Development: Design, build, test, and deploy end-to-end integration flows using IBM App Connect Enterprise (ACE/IIB), API Connect, and IBM MQ within containerized environments (CP4I / Red Hat OpenShift).
• System Analysis & Mapping: Analyse legacy and cloud source/target systems, create data mappings, and define technical specifications for complex enterprise integrations.
• API Lifecycle & Security: Publish, secure, and manage REST/SOAP APIs via IBM API Connect using OAuth 2.0, JWT, and API key policies.
• Messaging & Queue Management: Configure and maintain high-availability messaging infrastructure using IBM MQ.
• DevOps & Governance: Build and support CI/CD pipelines (Git/GitLab, Azure DevOps) to automate integration deployments across multi-cloud environments.

Minimum Requirements

• Experience: 5+ years of hands-on integration development experience with at least 2+ years specialized in IBM Cloud Pak for Integration (CP4I).
• Core IBM Stack: Strong proficiency in ACE / IIB, IBM API Connect, and IBM MQ.
• Platform Knowledge: Solid understanding of Red Hat OpenShift / Kubernetes container deployment and management.
• Development Skills: Hands-on experience with ESQL, Java Compute Nodes (JCN), JSON, XML, REST, and SOAP protocols.
• DevOps: Experience with Git and automated CI/CD tools.
• Education: Degree or Diploma in IT, Computer Science, or equivalent experience.