Arad Technologies is the development center for Arad Group, a world leader in IoT smart water measurement and management systems. Arad products are sold in more than 60 countries. With millions of users worldwide, Arad water management software is a world-leading enterprise completely cloud-based SaaS.
Arad Technologies employs over 100 engineers and researchers, including Software, Firmware, Radio, hardware, hydraulics, mechanics, and more.
Job description:
We're not looking for someone who "sometimes uses Copilot." We want a developer whose default way of building software is with AI agents. You break a feature into a clear spec, drive Claude Code or Cursor through the implementation, review the output like a demanding senior engineer, and ship in days what used to take weeks. You'll own features end to end. That covers the .NET services that ingest millions of meter readings, the Angular apps our customers use every day, the mobile apps our field technicians rely on, and the pipelines and infrastructure that ship and run all of it.
How we work:
Every feature starts from a written spec with acceptance criteria. That spec is what your agents work from.
Agents write most of the first draft. You own the architecture, the correctness, and what actually ships.
Our repos carry AI context (CLAUDE.md files, skills, conventions) so the tools work like team members. You'll help write and improve them.
AI helps with code review and test generation, but a human approves every merge.
We work in small cross-functional squads with short cycles and ship straight to production.
Responsibilities:
Build backend services in C#/.NET on Azure, running on Kubernetes (AKS)
Own the path to production: build and maintain CI/CD pipelines in Azure DevOps, containerize services and deploy them to AKS
Monitor, troubleshoot and tune what you ship in production, including logs, metrics, alerts and performance
Build customer-facing Angular web apps: dashboards, analytics and management tools for water utilities
Build GenAI features into our products, using LLMs to turn our data into answers and automation
Work with large-scale IoT telemetry and time-series data from devices in the field
Requirements
Proven full stack experience shipping production software
Strong C#/.NET (ASP.NET Core, Web API)
Strong Angular (TypeScript, RxJS, component architecture)
Heavy daily use of AI coding agents (Claude Code, Cursor or similar), with the judgment to know when to trust the output and when to throw it away
Hands-on DevOps experience: CI/CD pipelines (Azure DevOps, GitHub Actions or similar), Docker, and deploying to Kubernetes
Solid SQL and relational databases (SQL Server or equivalent)
Experience with REST APIs, microservices or distributed systems, and with Git and CI/CD
Good written and spoken English
Significant Advantages:
LLM / GenAI in production: RAG, agents, Azure OpenAI or similar
Infrastructure as Code (Terraform, Bicep or ARM), Helm, and deep AKS experience
Observability tooling (Azure Monitor, Application Insights, Grafana, Prometheus)
Capacitor or another hybrid mobile framework, and publishing to the App Store / Google Play
IoT, telemetry or messaging (Service Bus, Event Hubs, Kafka, MQTT)
High-volume data processing and performance tuning
You'll thrive here if:
You've shipped production features where AI wrote most of the code, and you can explain where it went wrong and how you caught it
You run several agent sessions in parallel and think in tasks, not keystrokes
You treat prompts, context and specs as engineering work, not throwaway text
Moving fast doesn't make you sloppy: you insist on tests, readable code and small, reviewable PRs
You finish what you start and care about the feature reaching the user
Why join us:
Your code helps utilities around the world save water
A team that is AI-first in practice: the tools are expected, not just tolerated
Full stack in the real sense: backend, web, mobile, DevOps, cloud and AI
Real scale on a modern stack: .NET, Angular, Azure, Kubernetes and IoT
Your features reach production fast, and you get a say in how we build
Hybrid work at a stable, established company in a growing market
How to apply:
Send your CV with a short note about something you built with AI agents: what you asked for, what the AI got wrong, and how you fixed it. A repo or demo link is even better. The note matters more to us than the CV.
We're hiring from strong mid-level to senior. Show us what you've built and we'll find the right fit.
