Full Stack Software Engineer

Madrid - Spain

Monthly Salary: Not Disclosed

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

We are hiring a Full-Stack Engineer to build the core cloud platform that powers AI adoption across SGS. This is a hands-on engineering role where you will design and implement the foundational services UIs and tooling that allow AI engineers software developers and business teams to rapidly assemble solutions using reusable Lego Bricks (microservices AI agents data pipelines and MLOps components).

You will work side-by-side with AI engineers delivering microservices internal tools lightweight UIs and developer-facing components that make AI delivery fast compliant and scalable.
We are at an early stage this role is for someone who wants to move fast learn fast and build from scratch.

What Youll Build and Own

Cloud Platform Foundations
- Build the first version of our internal developer platform using Go lightweight HTML templatesand server-driven rendering.
- Design and implement core microservices (identity data access orchestration monitoring usage metering etc.).
- Establish clean composable service boundaries enabling AI teams to plug in new bricks easily.
Web & UI Layer for AI Products and Tools
- Deliver pragmatic UIs using Go templates and pure HTML initially then evolve toward a Go Tailwind CSS Templ HTMX architecture.
  - Build internal dashboards admin tools observability screens and orchestration interfaces for AI agents and ML workflows.
Developer Experience (DX) & Internal APIs
- Create APIs CLIs and utilities that enable AI engineers to deploy models create agentic workflows and integrate with shared components.
- Implement standards for API ergonomics microservice contracts and versioning.
MLOps & AI Agent Enablement
- Collaborate with AI engineers to support model deployment evaluation tooling vector DB access and agent orchestration.
- Provide the infrastructure primitives that allow the business teams to scale prototypes into production systems.
Building for Speed and Evolution
- Ship fast iterate fast: deliver valuable slices of functionality while the platform is still taking shape.
- Help shape the architectural blueprint for a scalable platform as the organization grows.

Qualifications :

Required Technical Skills

Strong engineering foundations with microservices concurrency applying design patterns 12 factor app principles and having a tidy first mindset.
Solid background in REST APIs event-driven services and distributed systems.
Practical knowledge of cloud environments (AWS GCP or Azure).
Experience with Docker containerized development and CI/CD pipelines.
Understanding of MLOps concepts.

Bonus

Familiarity / Some level of expertise with Go and/or Python.
Experience with HTML CSS and server-side rendering frameworks (Go templates etc.).
Experience with microservice-first architectures.
Exposure to LLM-powered applications agent frameworks or vector databases.
Experience building internal developer tools or platforms.
Familiarity with Kubernetes or serverless frameworks.
Experience in early-stage high-velocity environments.

Who You Are

A pragmatic builder: You love shipping functional products quickly and evolving them with feedback.
A full-stack problem solver comfortable moving across backend frontend and cloud.- A systems thinker who cares about architecture and platform foundations.
A collaborator who enjoys working with AI engineers product managers and business partners.
An owner who delivers reliable scalable maintainable systems.

Additional Information :

What We Offer

High impact from day one: Build the platform powering SGSs global AI strategy.
Startup speed with enterprise scale and resources.
Competitive compensation aligned with the strategic importance of the role.
Opportunity to work on unique industrial and scientific datasets across materials science supply chains and sustainability.
Growth paths into platform engineering architecture or technical leadership.

Remote Work :

Employment Type :

Full-time

What Youll Build and Own

Cloud Platform Foundations
- Build the first version of our internal developer platform using Go lightweight HTML templatesand server-driven rendering.
- Design and implement core microservices (identity data access orchestration monitoring usage metering etc.).
- Establish clean composable service boundaries enabling AI teams to plug in new bricks easily.
Web & UI Layer for AI Products and Tools
- Deliver pragmatic UIs using Go templates and pure HTML initially then evolve toward a Go Tailwind CSS Templ HTMX architecture.
  - Build internal dashboards admin tools observability screens and orchestration interfaces for AI agents and ML workflows.
Developer Experience (DX) & Internal APIs
- Create APIs CLIs and utilities that enable AI engineers to deploy models create agentic workflows and integrate with shared components.
- Implement standards for API ergonomics microservice contracts and versioning.
MLOps & AI Agent Enablement
- Collaborate with AI engineers to support model deployment evaluation tooling vector DB access and agent orchestration.
- Provide the infrastructure primitives that allow the business teams to scale prototypes into production systems.
Building for Speed and Evolution
- Ship fast iterate fast: deliver valuable slices of functionality while the platform is still taking shape.
- Help shape the architectural blueprint for a scalable platform as the organization grows.

Qualifications :

Required Technical Skills

Strong engineering foundations with microservices concurrency applying design patterns 12 factor app principles and having a tidy first mindset.
Solid background in REST APIs event-driven services and distributed systems.
Practical knowledge of cloud environments (AWS GCP or Azure).
Experience with Docker containerized development and CI/CD pipelines.
Understanding of MLOps concepts.

Bonus

Familiarity / Some level of expertise with Go and/or Python.
Experience with HTML CSS and server-side rendering frameworks (Go templates etc.).
Experience with microservice-first architectures.
Exposure to LLM-powered applications agent frameworks or vector databases.
Experience building internal developer tools or platforms.
Familiarity with Kubernetes or serverless frameworks.
Experience in early-stage high-velocity environments.

Who You Are

A pragmatic builder: You love shipping functional products quickly and evolving them with feedback.
A full-stack problem solver comfortable moving across backend frontend and cloud.- A systems thinker who cares about architecture and platform foundations.
A collaborator who enjoys working with AI engineers product managers and business partners.
An owner who delivers reliable scalable maintainable systems.

Additional Information :

What We Offer

High impact from day one: Build the platform powering SGSs global AI strategy.
Startup speed with enterprise scale and resources.
Competitive compensation aligned with the strategic importance of the role.
Opportunity to work on unique industrial and scientific datasets across materials science supply chains and sustainability.
Growth paths into platform engineering architecture or technical leadership.

Remote Work :

Employment Type :

Full-time

Key Skills

Spring
.NET
C/C++
Go
React
OOP
C#
Data Structures
JavaScript
Software Development
Java
Distributed Systems

Apply Now

About Company

SGS

We are SGS the world's leading testing, inspection and certification company. We are recognized as the global benchmark for sustainability, quality and integrity. Our 99,600 employees operate a network of 2,600 offices and laboratories, working together to enable a better, safer and ... View more

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