Jobs at N-iX

Manage governance, rollout, scale-up, dependencies, stabilization, KPIs, prioritization, and executive stakeholder reporting for a complex insurance and automotive technology transformation program. Coordinate business, operations, product, IT, OEM, insurer, and network stakeholders while driving readiness, incident resolution, root-cause improvements, and successful handover to business-as-usual.

Lead the design, development, and operation of Node.js and TypeScript services, REST APIs, and full-stack features across web and mobile applications. Build scalable systems, optimize performance, enforce engineering standards, mentor developers, collaborate cross-functionally, and participate in incident response. The role also involves cloud-native development, real-time data streaming, technical initiative leadership, and exploring AI tools for developer productivity.

Senior Business Analyst supporting AI and data-driven initiatives in a pharmaceutical environment. Responsibilities include gathering and documenting requirements, translating business needs for technical teams, managing AI and data workflows, supporting governance and compliance, and validating AI models and product features. The role collaborates with data scientists, product managers, engineers, and senior stakeholders while contributing to testing, quality assurance, and ethical data use.

Leads backend software development using C# and .NET across architecture, system design, implementation, deployment, and maintenance. Owns scalable APIs, distributed systems, microservices, messaging, testing, security, observability, and CI/CD practices. Mentors developers, conducts code reviews, drives technical decisions, and collaborates with cross-functional teams to deliver reliable, high-quality products.

Build and maintain growth platform features, resilient REST APIs, data-heavy systems, integrations, and complex business or financial logic. Collaborate with product, frontend, data, and marketing stakeholders while contributing to design, testing, code reviews, process improvements, and end-to-end software delivery. Work primarily with Python, FastAPI, MySQL, AWS, and related engineering tools, with occasional TypeScript, React, and Next.js UI development.

Own end-to-end data readiness across ingestion, validation, transformation, aggregation, extraction, and delivery workflows. Develop and optimize Python, PySpark, SQL, Databricks, ADF, and Delta Lake solutions; investigate data-quality and reconciliation issues; coordinate validation with stakeholders and providers; resolve complex pipeline and platform incidents; review engineering work; guide junior engineers; and maintain documentation, contracts, runbooks, and deployment procedures.

Independently owns data readiness across ingestion, validation, transformation, aggregation, extraction, and delivery workflows. Develops Python, PySpark, SQL, Databricks, and ADF solutions; investigates data, mapping, hierarchy, quality, and performance issues; coordinates validation with stakeholders; reconciles outputs; resolves complex incidents; reviews engineering work; guides junior staff; and maintains documentation, contracts, runbooks, and deployment procedures.

Designs and delivers production-ready machine learning, LLM, NLP, and RAG solutions within Palantir Foundry and AIP. Responsibilities include data exploration, model development, prompt engineering, retrieval optimization, deployment, monitoring, workflow integration, and lifecycle improvement. The role collaborates with data engineers and business stakeholders, makes architecture decisions, manages technical risks, and communicates AI concepts and limitations. Solutions must be scalable, reliable, accurate, cost-efficient, and suitable for structured and unstructured data.

Own applied science projects improving AI training dataset discovery, qualification, selection, and curation. Evaluate retrieval, classification, filtering, ranking, and automated workflows using statistical methods, sampling, experiments, telemetry, and structured error analysis. Define metrics, assess relevance and representativeness, identify failure modes, and recommend improvements in partnership with data science, product, and engineering teams.

Owns the design and delivery of scalable metadata-processing systems for multimedia content. Responsibilities include building event-driven and batch-processing workflows, enabling production data science workloads, maintaining data contracts and quality controls, estimating capacity and cloud costs, and supporting AWS and GCP infrastructure. The role also requires technical leadership through design reviews, mentoring, and delivering critical systems to production.

Leads delivery across 3–5 concurrent Agile software teams, owning project execution, release planning, resource allocation, dependencies, risks, metrics, and stakeholder communication. Manages and mentors engineering professionals, conducts performance reviews, supports hiring and workforce planning, and drives continuous improvement. Partners with enterprise clients and internal leaders to align priorities, resolve issues, and deliver complex projects on time and within scope.

Develop and maintain enterprise full-stack software for public-sector funding and financial management systems. Responsibilities include analyzing legacy systems, designing UML artifacts, building C#/.NET back-end services and modern front-end portals, integrating microservices, refactoring legacy code, optimizing MSSQL and Entity Framework Core access, writing unit and end-to-end tests, documenting features, and collaborating in Agile/Scrum teams using Azure DevOps.

Supports enterprise data pipelines through monitoring, ingestion, validation, troubleshooting, testing, documentation, and minor enhancements. Works with Python, PySpark, SQL, APIs, files, cloud data platforms, and data quality processes under senior guidance. Contributes to source onboarding, operational support, Git workflows, code reviews, and deployment practices in a six-month engagement.

Develop and maintain enterprise full-stack applications for public-sector funding and financial management systems. Responsibilities include analyzing legacy systems, designing C#/.NET back-end services and web portals, integrating microservices, refactoring legacy code, optimizing SQL Server data access, creating unit and end-to-end tests, documenting features, and collaborating in Agile/Scrum teams using Azure DevOps.

Develop and maintain enterprise-scale full-stack software for public-sector funding and financial management systems. Responsibilities include analyzing legacy systems, designing UML models, building C#/.NET back-end services and modern web portals, integrating microservices, refactoring legacy components, optimizing MSSQL data access, creating unit and end-to-end tests, documenting features, and participating in Agile/Scrum ceremonies using Azure DevOps.

Annotate and categorize Arabic text data using provided tools to support deep learning model training. Report annotation issues, collaborate with researchers, improve data quality, and perform post-tagging and lemmatization. Requires advanced Arabic speaking and reading skills, upper-intermediate English, strong communication, and attention to detail.

Leads enterprise solution architecture across discovery, consulting, proposals, and delivery. Defines technology vision, designs scalable cloud-native and distributed systems, advises executive stakeholders, governs implementation, and evaluates emerging technologies. Builds reusable consulting frameworks, mentors architects and engineers, leads complex client engagements, and supports pre-sales and upsales. Requires extensive software engineering and architecture leadership experience, cloud expertise across multiple platforms, strong communication skills, and knowledge of Agile, DevOps, CI/CD, and Infrastructure as Code.

Evaluate, optimize, and productionize machine learning models for metadata enrichment workflows supporting data licensing. Build tested Python inference components, assess model quality and operational tradeoffs, manage scalable CPU/GPU deployments across AWS and GCP, troubleshoot distributed execution, and ensure licensing, provenance, reproducibility, and commercial-use compliance.

Build and ship end-to-end full-stack features, primarily developing Scala backend engine APIs and TypeScript UI components. Use AI tools for coding, testing, review, and investigation. Mentor engineers, resolve ambiguous requirements, drive technical execution, and collaborate asynchronously across global remote teams. Work with SQL, relational databases, and potentially semantic layers, OLAP, cloud data platforms, Kubernetes, containerized deployments, and AI-backed features.

Build and ship end-to-end full-stack features, primarily backend Scala engine APIs and TypeScript UI components. Use AI tools for development, testing, review, and investigation. Mentor engineers, resolve ambiguous requirements, propose technical solutions, and collaborate asynchronously across global remote teams. Work with SQL, relational databases, and potentially semantic layers, OLAP, dimensional modeling, AI-backed features, Kubernetes, and cloud data platforms.