Nortal

AI Engineer

• Design and develop modern cloud-based APIs, systems integrations, and enterprise applications for our customers, facilitating their digital transformation efforts
• Constantly strengthen capabilities in utilizing AI-driven software development, including Agentic Swarm Coding and Spec-Driven Development
• Design DevOps practices and contribute to the creation of high-quality DevOps pipelines and Infrastructure as Code (IaC) automation
• Collaborate with various stakeholders and engage in hands-on programming as a software architect/lead developer
• Participate in pre-sales activities, leadership roles, or mentoring if those are areas of interest for you

AI-Driven Software Architect

Consultant

• Work in client projects together with senior consultants, while also taking ownership of your own areas of delivery
• Map and assess current-state business, data and technology capabilities, and identify bottlenecks, gaps and improvement areas
• Help clients understand where digitalization, data and AI can create concrete business value, such as efficiency gains, growth opportunities, improved customer experience, better decision-making or cost savings
• Identify, assess and prioritize concrete AI, data and digital use cases based on business value, feasibility, dependencies, risks and strategic relevance
• Build structured business cases, value assessments and decision-making materials to help clients prioritize investments and understand expected business impact
• Define and clarify target states together with the client, aligning business goals with digital, data and AI opportunities
• Analyze gaps between the current and target state, covering not only technology and data, but also capabilities, governance, operating models, change readiness and organizational culture
• Create clear roadmaps that translate strategic ambitions and prioritized use cases into actionable development steps
• Support clients in defining success measures and tracking whether transformation initiatives deliver the intended business outcomes
• Facilitate workshops and discussions, gather and structure insights, and build shared understanding across business, technology and leadership stakeholders
• Produce clear presentations, conceptual models and recommendations to support planning, prioritization and execution
• Support implementation together with the client, while keeping the focus on value realization and strategic priorities
• Consider key risks related to data, AI and digital transformation, including privacy, security, responsible AI, ethical considerations and regulatory requirements

Transformation Consultant

Frontend Engineer

• Implement user interfaces for the video surveillance solution
• Develop applications in line with the Televic UI Styleguide
• Collaborate with developers to improve design processes from conceptual, visual, and interaction perspectives
• Work cross-stack and support backend development (Python / FastAPI)
• Write unit tests and support end-to-end testing efforts
• Work in a multidisciplinary and international team
• Provide input and support towards quality assurance testing

Senior Front End Engineer

Android Engineer

• Work alongside engineers, product owners and stakeholders to ensure quality software delivery
• Be a key component of a cross-functional team
• Interact with product owners and stakeholders
• Contribute to technical discussions
• Help deliver on the technical strategy and tactical implementation

Mid/Senior Android Engineer

QA Engineer

• Test Automation: Design, build, and maintain automated test suites for C# backend services (unit, integration, and API-level tests). Build and maintain automated UI and end-to-end tests for our React frontend. Select and champion appropriate testing frameworks and tooling. Integrate automated tests into CI/CD pipelines to support continuous delivery. Maintain test coverage metrics and report on quality trends over time.
• Manual Testing: Write and maintain clear, structured manual test scripts and test plans. Execute manual exploratory and regression testing across features and releases. Document defects clearly with reproducible steps, expected vs. actual outcomes, and supporting evidence. Collaborate with developers and product stakeholders on acceptance criteria and definition of done.
• Quality & Process: Introduce and embed QA best practices across the engineering team. Participate in sprint planning, refinement, and review sessions as the QA voice. Work with developers to shift testing left – catching issues earlier in the development cycle. Maintain and improve test documentation, including regression libraries and test data management.

Senior QA Engineer

iOS Engineer

• Work alongside our other engineers, product owners and stakeholders to ensure what we build is best in class
• Be a key component of a cross-functional team delivering quality software
• Interact with product owners and stakeholders, contribute to the technical conversations
• Report to a Principal Engineer and help deliver on the technical strategy and tactical implementation
• Support existing, and develop new, features to support business needs across all Sun
• Help define requirements and create tickets
• Assist with the release process to deploy new features/fixes to production
• Leverage AI to boost productivity

Mid/Senior iOS Engineer

Solutions Engineer

• Design and deliver cost-optimized, scalable, secure, and resilient solutions on Microsoft Azure using IaaS, PaaS, and SaaS services
• Lead and support Azure infrastructure initiatives, including cloud migration, redesign, and modernization efforts
• Identify and reduce technical debt, improving system performance and cost efficiency
• Monitor platform performance and provide actionable recommendations for optimization and cost control (FinOps focus)
• Collaborate closely with stakeholders and service owners to align on architecture decisions and influence best practices
• Implement and support event-driven architectures and data-driven solutions on Azure
• Stay up to date with Azure technologies, tools, and industry best practices
• Develop and maintain internal documentation, standards, and best practices
• Apply structured architecture frameworks such as Azure Well-Architected Framework (WAF), TOGAF, and Microsoft CAF
• Contribute domain expertise, preferably within data and analytics environments (ideally in mining or similar industries)