Associate Packaged Application Test Engineer
Design and execute functional test cases while performing integration and regression testing. Document incidents, track defects, and prepare detailed result reports.
Remote Software Development Jobs in Mexico
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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Design and execute functional test cases while performing integration and regression testing. Document incidents, track defects, and prepare detailed result reports.
Research, design, and implement advanced Computer Vision and machine learning algorithms for 3D sensor data. Collaborate with cross-functional teams to integrate these capabilities into production-ready software for mining and industrial environments.
Design, build, and maintain scalable web applications, 2D/3D experiences, and backend services for high-precision geospatial data. Collaborate with cross-functional teams to translate customer problems into technical solutions while contributing to architecture and development standards.
Lead the end-to-end planning and execution of complex engineering projects while facilitating agile practices across cross-functional teams. Monitor project health, KPIs, and delivery risks to provide clear status reports to stakeholders.
Design and maintain scalable, cloud-native integrations across enterprise platforms like Salesforce, Zuora, and Workday using AWS serverless technologies. Develop AI-enabled workflows using Amazon Bedrock and SageMaker while ensuring data integrity and system reliability.
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Responsible for the design and operation of data and integration solutions. Focuses on building microservices, integration flows, and cloud-native architectures.
Lead the migration of legacy data systems to a modern Azure-based cloud infrastructure using Databricks and PowerBI. Manage ETL pipelines and implement CI/CD workflows to ensure scalable, secure, and automated data delivery.
Responsible for developing applications and prototypes using Generative AI and managing the full development lifecycle. Tasks include implementing infrastructure, automation, and technical documentation through to production release.
Develop and maintain end-to-end functionalities, ranging from data models to user interfaces. Participate in the technical development of microservices and decoupled architectures.
The developer will be responsible for designing, building, and maintaining robust, secure, and scalable backend services and APIs. They will work within a microservices architecture, utilizing event-driven messaging to support the organization's technological infrastructure.
The consultant will lead Salesforce DevOps and release management activities across enterprise environments. They are responsible for designing CI/CD pipelines and managing end-to-end deployments across various environments.
Design and deliver production-grade AI agents while managing the full Agent Development Life Cycle from pilot to deployment. Partner with large enterprises and startups to solve complex business challenges and guide the evolution of the core platform.
The consultant will design and execute comprehensive test strategies for AI and GenAI applications, ensuring accuracy, safety, and performance. They will collaborate with cross-functional teams to implement automation frameworks and establish quality metrics for LLM-based solutions.
The Senior AI Data Engineer will design and maintain the data foundation, including modeling and quality control for AI systems and LLM pipelines. This role involves close collaboration with data scientists to ensure robust data retrieval and feature layers for analytical products.
Develop and integrate responsive front-end interfaces with back-end services using Node.js, C#, and .NET Core. Maintain secure data flows, manage database schemas, and ensure code quality through automated testing and CI/CD pipelines.
Engage in live, natural video conversations in Bengali with other participants to provide data for AI model training. Discuss everyday topics to help AI models learn natural speech patterns, tone, and cultural nuances.
Engage in live, natural video conversations in Bengali with other participants to provide data for AI model training. Discuss everyday topics to help AI models learn natural speech patterns, tone, and cultural nuance.
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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 support the Enterprise AI Security Program by ensuring the safe and secure adoption of AI across internal chatbots and agentic workflows. This involves translating security policies into automated enforcement mechanisms and conducting risk assessments on new AI tools and protocols.
The Lead Implementation Support Engineer provides technical and operational leadership for the deployment, configuration, and stabilization of manufacturing applications. They serve as the primary escalation point for complex issues and partner with cross-functional teams to translate production requirements into effective technical solutions.
The Senior AI-ML Data Scientist will own the end-to-end lifecycle of model and agent behavior, from problem framing and algorithm selection to production serving. They will collaborate closely with AI Data Engineers to design memory architectures and ensure robust evaluation of agentic systems.
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.
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.
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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.
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.
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.
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The typical salary for remote software developers in Mexico is MX$751,000 per year. This is based on data from 32 job openings that list pay in MXN. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Typical salary |
|---|---|---|
| Entry-level0–2 years | 4 | MX$318,000 |
| Junior2–5 years | 10 | MX$665,000 |
| Senior5–10 years | 15 | MX$1,020,000 |
| Lead10+ years | 3 | MX$3,280,000 |
We reviewed 411 job postings for remote software developers in Mexico and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| Python | 39% |
| CI/CD | 27% |
| SQL | 26% |
| AWS | 19% |
| TypeScript | 18% |
| Kubernetes | 13% |
| Git | 13% |
| React | 12% |
| REST APIs | 12% |
| Docker | 12% |
Learn more about Software Development remote jobs