inventYOU IT Consulting

SDET

• Design, develop, and maintain front-end automated test frameworks
• Execute automated testing activities for web and mobile applications
• Integrate automated tests within CI/CD pipelines
• Analyse and troubleshoot issues identified during testing activities
• Collaborate with development teams to improve application quality
• Support Agile delivery teams throughout the software development lifecycle
• Contribute to continuous improvement of automation practices and testing strategies
• Participate in test planning, execution, defect analysis, and reporting
• Support code reviews and improvements related to test automation

Senior QA Automation Engineer – Front-End Testing

Backend Engineer

• Develop and maintain applications on IBM i / AS/400
• Develop and enhance programs using COBOL, RPG, and CL
• Build interfaces and integrations with internal and external systems
• Develop database components using Db2 for AS/400
• Troubleshoot production issues and performance bottlenecks
• Support batch operations, deployments, and production releases
• Participate in application modernization initiatives
• Collaborate with Business Analysts, Architects, and engineering teams
• Maintain technical and operational documentation

Junior-Senior AS/400 Back-End Software Engineer

• Analyze business processes, functional and non-functional requirements, high-level designs, and software documentation
• Define and implement test plans, test approaches, and test strategies
• Design and execute test cases, test suites, and test data for functional and non-functional testing
• Design, develop, and maintain reusable automated test scripts
• Evaluate and select appropriate test automation tools and technologies
• Set up and maintain test environments
• Execute automated and manual test cases and analyze results
• Report defects and issues using DevOps tools
• Support investigation, troubleshooting, and resolution of identified issues
• Implement automated test reporting and metrics collection
• Perform and support performance testing
• Prepare and present detailed test reports
• Apply testing practices within DevSecOps and CI/CD environments
• Lead testing-related discussions and collaborate with technical and business stakeholders

Senior Test Automation Engineer

Software Engineer

• Design, test, and iteratively refine prompts for LLM-based applications
• Develop and maintain prompt libraries, templates, and reusable prompt components
• Evaluate and benchmark prompt performance across different LLM platforms and model versions
• Translate functional and business requirements into effective prompt strategies
• Apply zero-shot, few-shot, RAG, role prompting, and structured output prompting techniques
• Identify and mitigate hallucinations, prompt injection, data leakage, bias, and inconsistent outputs
• Define and document prompt design decisions, evaluation criteria, and version history
• Support testing, Quality Assurance, and User Acceptance Testing activities for LLM solutions
• Develop automation and testing pipelines for prompt evaluation
• Integrate prompts and LLM capabilities through APIs
• Provide guidance and knowledge transfer to technical and non-technical stakeholders on effective LLM interaction patterns

Mid Prompt Engineering Specialist

LLM Engineer

• Develop, integrate, and maintain AI and Machine Learning models within business applications
• Design and optimize data pipelines for model training, evaluation, and deployment
• Build LLM-based and Generative AI solutions, including RAG, prompt engineering, and fine-tuning
• Translate business requirements into practical AI solutions with Product Owners and domain experts
• Deploy and operate models using MLOps practices, including CI/CD, monitoring, and versioning
• Evaluate model performance, fairness, reliability, and overall quality
• Integrate cloud-based AI services across Azure, AWS, and/or GCP
• Develop and integrate APIs and microservices supporting AI capabilities
• Ensure compliance with data governance, security, and ethical AI requirements
• Document AI workflows, architectures, and operational procedures
• Support cross-functional teams in adopting and integrating AI capabilities

Senior AI Engineer – LLM, Machine Learning

Data Scientist

• Support development teams and users in the effective use of data systems
• Create reports and perform data extraction when required
• Provide guidance on data quality and data collection practices
• Evaluate and monitor the performance of data systems
• Provide input on database security and data protection
• Identify, investigate, and support the resolution of data-related issues
• Perform data analysis across large and complex datasets
• Support data mapping, transformation, aggregation, and calculation
• Develop and manage Business Intelligence solutions
• Set up and manage data management projects in collaboration with subject matter experts
• Provide user support and technical guidance on data-related matters
• Produce and maintain technical documentation

Data Manager

Cloud Engineer

• Design, develop, test, and maintain data pipelines using Azure Data Factory and Azure Databricks
• Build and optimize Azure SQL, Data Lake, and Lakehouse solutions
• Develop reusable data products and data models
• Implement data quality controls, monitoring, and operational support
• Develop and optimize solutions using PySpark and Spark SQL
• Work with Delta Lake and Unity Catalog
• Apply security, access control, governance, and performance standards
• Collaborate with analytics, architecture, governance, security, and engineering teams
• Contribute through Git, DevOps, automated testing, and CI/CD practices

Senior Data Engineer – Azure, Databricks

Risk

• Manage and improve the business glossary, data catalogue, metadata, and critical data elements
• Implement data ownership and stewardship processes
• Support data classification and lineage
• Configure and improve Collibra governance workflows
• Monitor and improve data quality using Soda
• Define and maintain data quality rules
• Support data-quality issue management and reporting
• Support governance adoption and compliance requirements
• Collaborate with business and technical stakeholders across the organization

Senior Data Governance Specialist

Full-stack Engineer

• Develop and maintain full-stack applications
• Design and implement front-end and back-end components
• Build and consume APIs and integration services
• Design and optimize database solutions
• Participate in solution design and technical reviews
• Support deployment, maintenance, and continuous improvement
• Produce and maintain technical documentation

Junior-Senior Full Stack Software Engineer, React, .NET

• Design and develop cloud-native Azure applications
• Implement event-driven and serverless solutions
• Build API-based integrations between applications and platforms
• Develop orchestration and workflow solutions
• Implement monitoring, logging, and observability
• Apply security and identity-management best practices
• Participate in solution design, deployment, and operational support
• Maintain technical documentation

Junior-Senior Microsoft Azure Software Engineer

DevOps Engineer

• Design and maintain enterprise CI/CD pipelines using Azure DevOps
• Implement Infrastructure as Code using Terraform
• Build reusable deployment templates, modules, and golden paths
• Integrate Git repositories, automated testing, security scanning, artifacts, and release workflows
• Automate infrastructure provisioning, configuration, and deployments
• Support multi-environment deployments across Dev, Test, Acceptance, and Production
• Implement monitoring, logging, alerting, and deployment analytics
• Apply DevSecOps practices, including secrets management, vulnerability scanning, and policy enforcement
• Collaborate with Developers, Platform Engineers, AI Engineers, and Operations teams
• Maintain standards, documentation, and operational runbooks

Senior Azure DevOps Engineer

• Design and develop responsive web and mobile applications
• Build modern user interfaces using React and React Native
• Develop reusable UI components and front-end frameworks
• Integrate applications with REST APIs and back-end services
• Ensure application performance, scalability, accessibility, and security
• Participate in code reviews, troubleshooting, and defect resolution
• Collaborate with cross-functional teams throughout the development lifecycle
• Contribute to technical documentation and development standards

Junior-Senior Front-End Software Engineer – React, React Native

Technical Project Manager

• Lead IT projects from initiation through closure
• Define and manage project scope, schedule, budget, governance, and resource plans
• Coordinate cross-functional teams across Business, Development, QA, Infrastructure, and Operations
• Manage client relationships, stakeholder communication, and project reporting
• Monitor project risks, issues, dependencies, and mitigation plans
• Track project KPIs, milestones, financial performance, and resource utilisation
• Facilitate Agile ceremonies, planning workshops, steering committees, and project meetings
• Ensure successful project delivery, quality standards, and compliance with governance frameworks
• Support project planning, forecasting, and continuous improvement initiatives
• Prepare management reports and executive presentations

IT Project Manager

• Develop back-end, front-end, and cloud solutions
• Build and run business-critical applications used by customers and partners internationally
• Develop microservices and micro frontends in an event-driven architecture
• Deploy services on Kubernetes
• Own services end-to-end from development through production
• Help shape technical direction
• Make sound deployment decisions
• Mentor less experienced developers

Senior Fullstack Developer, Java/Kotlin

• Build production-grade solutions on top of large language models
• Integrate LLMs into existing tools, pipelines and business processes
• Design evaluation and quality controls
• Help teams understand what current models can and cannot do
• Advise on scope, feasibility and risk
• Develop AI-assisted developer tooling, such as code review, merge support or test generation
• Automate analysis of logs, incidents or documents with suggested actions
• Build shared AI infrastructure for evaluation, monitoring and safe rollout