Jobs at N-iX

The AI Application Engineer will build AI-driven applications, develop internal tools, and integrate AI solutions while ensuring quality and security throughout the process.

Lead design and implementation of a scalable automated testing framework and QA strategy. Mentor QA engineers, define test scope across products, own end-to-end automation for KNIME workflows using Playwright, integrate tests into CI/CD (Jenkins), improve system testability, and contribute to JIRA ticket acceptance criteria and QA dashboards to reduce production bug leakage.

Design, implement and balance gameplay systems, economies and progression for an ambitious mobile project. Create and maintain GDDs and specifications, set up scenes and visual scripting using Unity3D tools, conduct playtesting and analysis of player metrics, own features from concept through post-launch, and collaborate with the team to ensure high quality.

Responsible for creating technical documentation for engineering systems, collaborating with developers, and managing documentation projects effectively.

Design, develop, and maintain high-performance backend systems and APIs using C#/.NET on Azure (AKS, App Services, Blob Storage). Build microservices, design RESTful/gRPC APIs, optimize for scalability, availability, and cost, resolve performance bottlenecks, collaborate across teams, and mentor engineers. Participate across the full software lifecycle with at least four hours daily overlap with PST.

Responsible for creating clear technical documentation for engineering systems, collaborating closely with developers and infrastructure teams. Requires strong software engineering foundation and proficiency in cloud and DevOps environments.

The Senior Technical Writer will create clear, structured documentation for engineering systems, requiring a software engineering foundation and proficiency in various technical tools.

The Senior Technical Writer will create technical documentation for engineering systems, collaborating with developers and infrastructure teams, and managing SME availability. Responsibilities include creating how-to guides, troubleshooting procedures, and ensuring clear information architecture.

Create clear technical documentation for internal systems, collaborating with developers. Responsibilities include writing installation guides, using templates, and managing SMEs.

The AI Application Engineer will develop AI-enabled web applications, internal tools, and workflows, focusing on quick delivery while ensuring software quality.

Annotate and categorize Chinese text data (POS-tagging, lemmatization) using provided tools to support training deep learning models for cybersecurity analytics; document and report annotation issues and suggest improvements.

Lead discovery and design of a modern Customer Data Model, assess and modernize legacy systems, define integration layers, and build a .NET-based MVP consisting of web applications, APIs, and microservices on Azure. Mentor and lead engineering teams, implement CI/CD/DevOps practices, and introduce AI-assisted development tools to improve delivery.

Design, implement, and manage Azure cloud infrastructure and CI/CD pipelines; apply SRE practices (SLOs/SLIs, instrumentation); lead incident response and post-mortems; build Datadog monitoring and business dashboards; script automation with Shell/Python and manage Linux/Windows servers; collaborate via Jira/Confluence and ITSM practices; integrate AI productivity tools and produce operational reporting to improve availability and performance.

Lead design, implementation, and operation of Azure cloud infrastructure and CI/CD pipelines. Implement SRE practices (SLOs/SLIs), Datadog monitoring, incident response, and automation using Terraform, Docker, scripts, and configuration tooling. Administer Linux/Windows servers, produce dashboards/reports, and collaborate via Atlassian/ITSM processes to ensure high availability and continuous improvement.

Design, implement, and operate Azure cloud infrastructure and CI/CD pipelines. Apply SRE practices (SLOs/SLIs, monitoring) with Datadog, lead incident response and post-mortems, automate with Terraform/Docker/scripting, administer Linux/Windows servers, and collaborate via Atlassian and ITSM frameworks to ensure high availability and business reporting.

Design, implement, and operate cloud infrastructure on Azure; build CI/CD pipelines and IaC with Terraform; apply SRE practices (SLOs/SLIs, monitoring) using Datadog; lead incident response and post-mortems; automate configuration and scripting (Shell, Python, YAML/JSON); administer Linux/Windows servers; collaborate using Jira/Confluence and ITSM/ITIL; integrate AI productivity tools to improve operational efficiency.

Lead design, implementation, and operation of Azure cloud infrastructure and CI/CD pipelines. Apply SRE practices (SLOs/SLIs, instrumentation), build Datadog monitoring/dashboards, manage incidents and post-mortems, automate with Terraform and Docker, script in Shell/Python, administer Linux/Windows servers, and collaborate via Jira/Confluence within ITSM/ITIL frameworks to ensure high availability and business reporting.

Hands-on IAM Integration Engineer responsible for onboarding ~50 enterprise applications into a centralized IAM/IGA platform. Configure and develop connectors, implement provisioning/de-provisioning and lifecycle workflows (Joiner/Mover/Leaver), integrate multiple Microsoft Entra ID tenants and HR identity feeds (SuccessFactors), support testing, UAT, and production readiness, and collaborate with security, infrastructure, application, and HR stakeholders during a large-scale IAM transformation.

Design, build, and maintain end-to-end scalable data pipelines and Snowflake-native warehouses; optimize SQL and performance; implement Azure-based data platform solutions; develop Power BI semantic models; enable AI/ML data workflows; enforce governance, CI/CD, and security; collaborate with stakeholders and mentor engineers.

The role involves migrating reporting solutions to the cloud, optimizing Looker reports, maintaining dashboards, and collaborating with BI teams to ensure data quality and meet business needs.