9 publicaciones de empleo destacadas de front end software engineer en remote (¡Están contratando!)

Senior Software Engineer / Solutions Architect (Python & GenAI)
Provectus —En remoto
- Jornada completa
- Teletrabajo
- Inglés
- Máster
- SQL
Solicitud rápida
Senior Software Engineer
Heritage Holdings —En remoto
- Teletrabajo
- Inglés
- Oficina
- JavaScript
Solicitud rápida
Senior Frontend Developer
Corva —En remoto
- Jornada completa
- Teletrabajo
- Informática
- Inglés
- JavaScript
Solicitud rápida
7d
Senior Software Developer
Trimble —En remoto
- Jornada completa
- Teletrabajo
- Inglés
- Java
- Desarrollo de software
Python Engineer - OpenData Clinical
Veeva Systems —En remoto
- Jornada completa
- Teletrabajo
- Inglés
- Oficina
- AWS
- Teletrabajo opcional
- Abono gimnasio
Senior SDE
EDB —En remoto
- Teletrabajo
- Oracle
- Machine learning
Solicitud rápida
14d
Software Engineers (backend, devops, frontend)
Synergy —En remoto
- Jornada completa
- Teletrabajo
- Español
- Azure
- DevOps
Solicitud rápida
Senior Software Engineer - Engineering Workflow and CI
Mozilla —En remoto
- Teletrabajo
- SQL
- AWS
- JavaScript
- Seguro dental
- Seguro oftalmológico
Pre-Sales Engineer
Gradle Technologies —En remoto
- Teletrabajo
- Informática
- Ventas
- DevOps
Solicitud rápida

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Senior Software Engineer / Solutions Architect (Python & GenAI)

Provectus -
En remoto

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Arquitectura Cloud
Node.js
Derecho
React
NoSQL
Inglés
Máster
Arquitectura de microservicios
SQL
Programación orientada a objetos
AWS
Docker
REST
Django
GitHub
APIs
Cloud
S3
Inteligencia artificial
GitLab
Python
Patrones de diseño

Descripción completa del empleo

What You’ll Do:

Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
Implement and optimize RAG systems for production use cases
Design and build LLM-based and agentic AI solutions that address real client business challenges
Own the technical direction of client engagements from discovery through delivery
Support presales: discovery calls, technical proposals, scoping, and client-facing demos
Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
Mentor engineers, lead code reviews, and share knowledge across the team
Build and maintain strong relationships with key client stakeholders as a trusted technical advisor

What You’ll Bring:

Mindset

Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
Already using AI tools in your daily workflow (Claude Code, Copilot, or similar)
Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you
B2+ English, comfortable collaborating across distributed, multicultural teams

Presales & Client Engagement

Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget
Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks
Experience with cost estimation and cloud architecture cost optimization

Python, AI & Cloud

7+ years building and running production systems not only demos and POCs
Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions
Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
Experience building RESTful APIs with FastAPI, Django REST, or Flask
Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL
Strong testing practices: pytest, mocking, and integration tests for AI systems
Experience with Docker and Kubernetes
Hands-on experience building production LLM-based applications and agentic workflows
Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
Experience building and optimizing RAG systems
Understanding of LLM evaluation techniques and quality assurance approaches
Experience deploying and maintaining AI/ML models in production environments
Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
Experience with React/Vue
AWS and Claude Code Certifications

Nice to Have

Experience with Streamlit or Gradio for AI prototyping
Modern Python tooling (ruff, uv, pyproject.toml, pyright)
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, Node.js, or Rust)
Front-end experience

What We Offer:

Opportunity to work with cutting-edge AI and cloud solutions
Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
Career growth: a clear path toward SA or beyond; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Remote with flexible hours
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

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