Senior Full Stack Engineer (Go + HTMX)

MPS Group LLC; Bogotá; Presencial; COP 195.854.000 - 326.424.000; Jornada completa

Descripción de la vacante

Senior Golang Developer role focused on backend services, API design, and cloud deployment. You will implement REST and GraphQL APIs, design data models in MongoDB, and craft server-driven UIs with HTMX, Alpine.js, and Tailwind CSS.

Collaboration with cross-functional teams, code reviews, and CI/CD will be integral to the role. The position emphasizes AI-assisted development practices, performance optimization, and scalable, maintainable software in a cloud environment.

Formación

• 6+ years of software development experience with Golang.
• Experience designing REST and GraphQL APIs with queries, mutations, and schemas.
• Proficiency with MongoDB including schema design and performance tuning.
• Experience building server-driven UIs with HTMX, templ, Alpine.js, and Tailwind CSS.
• Hands-on with cloud providers (Azure, AWS, or GCP), Azure preferred, including deploying cloud apps.
• Experience with CI/CD pipelines, Docker, automated testing, code reviews and debugging.

Responsabilidades

• Design and build scalable backend services and APIs using Golang and GraphQL.
• Model data with MongoDB for performance and scalability.
• Develop server-driven UIs with HTMX, Alpine.js, and Tailwind CSS.
• Apply testing, code reviews, debugging, and CI/CD throughout the lifecycle.
• Deploy and support apps in cloud environments and troubleshoot production issues.
• Incorporate AI-assisted development practices across coding, testing, and documentation.

Conocimientos

Golang

REST API

GraphQL

MongoDB

HTMX

Alpine.js

Tailwind CSS

Cloud (Azure/AWS/GCP)

CI/CD

Docker

AI-assisted development

LLMs & RAG

Herramientas

Docker

CI/CD pipelines

Descripción del empleo

As a Senior Golang Developer, you will design, build, test, and maintain production applications using Golang, HTMX, GraphQL, MongoDB, and cloud technologies. You will combine strong backend engineering expertise with server-driven UI development to deliver scalable, performant, and maintainable solutions. You will work across the software development lifecycle, collaborating with designers, product owners, architects, and engineering peers while applying modern cloud, DevOps, and AI-assisted engineering practices to accelerate delivery and improve software quality.

Your Impact

• Design and build scalable backend services and APIs using Golang, including REST and GraphQL APIs, queries, mutations, and resolvers.
• Implement efficient data models, schemas, and queries using MongoDB, with attention to performance, scalability, and maintainability.
• Collaborate with designers and engineering teams to deliver responsive and accessible interfaces using Tailwind CSS and Alpine.js.
• Apply unit and integration testing, code reviews, debugging, CI/CD, and engineering best practices throughout the development lifecycle.
• Deploy and support applications in cloud environments, troubleshooting issues across development and production.
• Apply AI-assisted development practices across coding, testing, code review, documentation, troubleshooting, and engineering productivity.

Qualifications

Skills & Experience

• 6+ years of software development experience, with strong hands-on expertise in Golang.
• Hands-on experience designing and developing REST and GraphQL APIs, including queries, resolvers, and schema design.
• Proficiency with MongoDB, including schema design, querying, and performance optimization.
• Experience building server-driven UIs with HTMX, with familiarity with Templ, Alpine.js, and Tailwind CSS.
• Must have hands-on experience with cloud providers such as Azure, AWS, or GCP, with Microsoft Azure strongly preferred, including deploying and supporting cloud-based applications.
• Experience with CI/CD pipelines, Docker, automated testing, code reviews, debugging, and modern software engineering practices.
• Knowledge of AI-Assisted Development Lifecycle (AIDLC) practices, including the use of AI-powered coding assistants, automated testing, code review, documentation generation, and productivity tools.
• Understanding of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI governance, and responsible AI principles.
• Experience integrating AI capabilities into enterprise applications through APIs and cloud-native AI services.
• Ability to evaluate and adopt emerging AI technologies to accelerate software delivery and improve quality.
• Strong problem-solving, communication, and collaboration skills, with the ability to work effectively within Agile, cross-functional product teams.

Set Yourself Apart With

• Hands-on experience with AI-assisted software development tools and workflows, such as GitHub Copilot, Claude, ChatGPT, or comparable AI-enabled engineering tools.
• Deeper experience applying the AI Development Lifecycle (AIDLC), including responsible AI, prompt engineering, model integration, testing, monitoring, and governance.
• Experience building or integrating AI-powered applications using LLMs, Retrieval-Augmented Generation (RAG), and agentic AI patterns.
• Experience with distributed systems and event-driven architectures.
• Hands-on experience optimizing Go applications for latency, throughput, scalability, and resilience.
• Familiarity with modern DevOps and observability practices in production cloud environment