Lead Engineer/ Architect (.NET) - Industrial

Jobgether SRL; España; Remote; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

100% remote flexibility

Career development

Access to AI tools

Global team

Job summary

Jobgether SRL is seeking a Lead Engineer/ Architect (.NET) for an IoT asset tracking platform. This hands-on leadership role combines system design, coding, and mentoring a distributed team to deliver scalable enterprise solutions in a remote, AI-enabled environment.

You will drive architectural decisions, data modeling, and API governance, while championing TDD and CI/CD to ensure robust, secure deployments across global industrial customers.

Qualifications

• 8+ years of professional software engineering experience building and scaling production systems.
• 3+ years in a technical leadership or engineering management role.

Responsibilities

• Design, architect, and write production code for core platform features and APIs.
• Lead a distributed agile team with mentoring, code reviews, and pair programming.
• Champion TDD, CI/CD, observability, and security-by-design across the lifecycle.
• Drive AI integration and adoption within engineering workflows.

Skills

Leadership

Software Architecture

Tools

C#/.NET

SQL Server

ASP.NET Web API

React

MQTT

RabbitMQ

AWS

Docker

Kubernetes

GitHub Copilot

Redis

NHibernate

Dapper

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Engineer/ Architect (.NET) - Industrial based in Spain.

As a hands-on Lead Engineer and Architect, you will spearhead software architecture and technical execution for an enterprise-grade IoT asset tracking platform serving global industrial leaders across chemical, automotive, and energy sectors. Operating in an AI-first, fully remote environment, you will balance active coding with team leadership, system design, and process optimization. You will architect concurrent, fault-tolerant distributed systems using C# and .NET, oversee data modeling, and champion modern engineering practices like TDD and CI/CD. Beyond hands-on development, you will mentor a distributed team of engineers, drive internal AI tool adoption (such as GitHub Copilot), and collaborate with product teams to scale cloud infrastructure. This role offers an incredible blend of technical depth, leadership scope, and direct commercial impact across global supply chains.

Accountabilities

• Design, architect, and write production code for core platform features, defining system boundaries, data models, API contracts, and concurrency mechanisms.
• Lead a distributed agile team, running sprints, unblocking developers, setting goals, and conducting regular 1:1 mentorship, code reviews, and pair programming sessions.
• Drive engineering excellence across the development lifecycle by championing test-driven development (TDD), CI/CD pipelines, observability, and security-by-design standards.
• Champion AI integration by embedding AI coding assistants into engineering workflows and identifying opportunities to integrate AI/ML features into the IoT platform.
• Resolve complex performance bottlenecks, architectural challenges, and cross-cutting system issues to support high-scale enterprise deployments.
• Partner with Product, Operations, and executive leadership to refine technology roadmaps, translate business requirements into technical plans, and recruit top engineering talent.

Requirements

• 8+ years of professional software engineering experience building and scaling production systems, with 3+ years in a technical leadership or engineering management role.
• Expert-level technical mastery in C#, .NET (Framework & Core), Microsoft SQL Server, SQL, ASP.NET Web API, and modern frontend frameworks like React.
• Deep experience architecting concurrent, fault-tolerant, scalable distributed systems using object-oriented principles, design patterns, and message brokers (e.g., MQTT, RabbitMQ).
• Strong commitment to software quality, incorporating a TDD mindset, unit/integration testing best practices, and robust CI/CD workflows.
• Hands-on familiarity with AI-assisted development tools (e.g., GitHub Copilot) and a strong enthusiasm for driving AI adoption across engineering teams.
• Exceptional communication and interpersonal skills, with a track record of clearly conveying complex technical decisions to both technical teams and executive stakeholders.
• Preferred experience with cloud platforms (AWS), containerization (Docker, Kubernetes), caching (Redis), ORMs (NHibernate, Dapper), or IoT/RFID/BLE/GPS hardware protocols.

Benefits

• Competitive salary package commensurate with executive-level technical leadership and experience.
• 100% remote flexibility, offering high schedule autonomy.
• Substantial opportunities for career advancement, leadership growth, and professional development.
• Direct access to cutting-edge AI technologies and forward-looking software development practices.
• Dynamic collaboration within a diverse, world-class global team powering software across major industrial sectors.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.