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Engage in live, natural video conversations in Bengali to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
Remote Software Development Jobs in Spain
Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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Engage in live, natural video conversations in Bengali to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
Participate in live video conversations in Bengali to provide natural speech data for AI model training. Engage in everyday topics to help AI systems learn cultural nuances and natural dialogue patterns.
You will analyze, design, develop, and document RESTful services and APIs while ensuring database functionality. Additionally, you will write clean, maintainable object-oriented code and integrate data storage solutions within a self-testing paradigm.
Design and maintain scalable microservices while contributing to backend infrastructure and frontend React applications. Collaborate with cross-functional teams to lead technical discussions and implement secure identity and credential verification solutions.
Design, develop, and maintain full-stack web applications while managing the entire lifecycle from database schema to frontend UX. Collaborate directly with client stakeholders to translate requirements into technical solutions and provide ongoing post-launch support.
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The developer will design and maintain internal web applications and services while managing their architecture, implementation, and deployment. They will also collaborate with teams to evolve shared infrastructure and improve system reliability, scalability, and observability.
You will be responsible for designing robust, efficient, and maintainable data models while managing database architecture. Additionally, you will develop and maintain ETL processes for data loading and ensure the integrity and documentation of the data models.
You will own and develop the LTV prediction algorithm by prototyping improvements in SQL and validating forecasts against actual data. Additionally, you will conduct end-to-end analytical research to provide actionable recommendations for Product, UA, and Finance teams.
You will develop and maintain core capabilities for the Elastic Defend management experience, including policy configuration and forensics workflows. You will collaborate with cross-functional teams to build scalable, high-performance systems using AI-powered development practices.
The role involves administering and optimizing enterprise Big Data platforms and their underlying infrastructure using automation and AI-assisted tools. You will be responsible for managing Linux systems, databases, and containerized environments while ensuring high availability and performance.
The Senior Developer will join software development projects within enterprise environments. Responsibilities include working with complex distributed systems and performing troubleshooting tasks.
The Azure Platform Engineer will participate in cloud infrastructure projects and manage the operation and support of Azure platforms. Responsibilities include providing L2/L3 support and ensuring effective cloud governance and security.
Lead the end-to-end delivery of D365 F&O implementations, managing project lifecycles from discovery to post-go-live support. Define solution architecture, manage project financials, and mentor functional teams to ensure high-quality delivery and client satisfaction.
Design, develop, and maintain custom Frappe apps and ERPNext functionality using Python and JavaScript. Collaborate with cross-functional teams to resolve issues, deploy solutions, and ensure system reliability.
The specialist will be responsible for transforming monolithic applications into scalable cloud-native architectures. They will lead migration and refactoring projects to optimize performance and scalability in the cloud.
Design and deliver technical training programs focused on cloud adoption and organizational change. Lead cloud adoption initiatives while applying technical synthesis and pedagogical skills.
The Product Owner will lead the strategy and evolution of AI solutions on Google Cloud Platform, acting as the primary bridge between business needs and technical teams. They are responsible for managing the product backlog, defining roadmaps, and ensuring the delivery of high-value AI/ML use cases.
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You will architect and build multi-agent AI systems and RAG pipelines while owning the full-stack development lifecycle from UI to cloud deployment. You will collaborate with product owners to translate requirements into production-ready AI features with a focus on performance, cost, and reliability.
Develop, configure, and maintain enterprise application modules, integrations, and workflows to meet business requirements. Perform unit testing, defect fixing, and provide ongoing production support while adhering to technical and security standards.
Lead end-to-end solution architecture for complex insurance transformation programs and define target-state technology roadmaps. Advise senior stakeholders on modernization strategies while supporting pre-sales, RFPs, and architecture governance.
The Principal Architect will lead the Architecture Center of Excellence to define technology strategy, standards, and modernization initiatives. They will partner with leadership to drive strategic technology decisions and mentor architects across the organization.
The Market Leader will define and execute the enterprise integration strategy while overseeing delivery excellence across complex, multi-system environments. This role involves driving business growth through pre-sales activities and providing technical leadership to mentor high-performing integration teams.
Design, implement, and manage scalable, secure, and reliable cloud solutions while optimizing for cost and performance. Automate infrastructure using tools like Terraform and CloudFormation and manage containerized workloads.
Develop and deploy custom AI solutions, including distributed training and MLOps pipelines, while acting as a primary technical contact for internal and external customers. Profile and tune large-scale training and inference workloads to optimize performance and reduce operational risk.
You will lead operational readiness efforts for NVIDIA Cloud Partners, ensuring reliable performance for large-scale accelerated infrastructure. This involves building automated validation, observability, and remediation workflows to maintain high-performance AI clusters.
You will identify and automate operational workflows by building internal tools and AI agents across various departments. Additionally, you will drive AI adoption through workshops and establish security guardrails for data protection.
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The Data Engineer will design, govern, and exploit complex data architectures while implementing solutions using IBM Cloud Pak for Data. They will collaborate with business teams, analysts, and architects to transform requirements into technical data solutions.
The Business Analyst will define business needs, lead discovery sessions, and translate requirements into clear software specifications. They will also contribute to AI-driven prototyping and collaborate with cross-functional teams to manage backlogs and project quality.
Provide technical support to customers through various channels while troubleshooting software, database, and integration issues. Manage support tickets according to SLA requirements and collaborate with Engineering teams to resolve complex technical incidents.
You will own the AI architecture for a multi-market product roll-out, identifying and mitigating technical risks through hands-on proof-of-concept development. You will also collaborate with distributed teams to shape observability and integration standards for agentic systems.
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The average salary for remote software developers in Spain is $106,340 per year. This is based on data from 27 job openings. We use the yearly salaries in US dollars from these job postings to calculate salary expectations. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Average salary |
|---|---|---|
| Senior5–10 years | 26 | $103,680 |
The typical salary for remote software developers in Spain is €46,800 per year. This is based on data from 112 job openings that list pay in EUR. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Typical salary |
|---|---|---|
| Entry-level0–2 years | 5 | €25,000 |
| Junior2–5 years | 42 | €35,000 |
| Senior5–10 years | 58 | €60,000 |
| Lead10+ years | 7 | €104,000 |
We reviewed 582 job postings for remote software developers in Spain and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| Python | 33% |
| CI/CD | 26% |
| SQL | 21% |
| Java | 19% |
| AWS | 19% |
| Kubernetes | 18% |
| Microservices | 15% |
| Docker | 11% |
| Kafka | 11% |
| Git | 11% |
Learn more about Software Development remote jobs