Top Software Engineer Jobs in Mexico

Design, build, test, and ship end-to-end full‑stack software (Flask backend, React frontend) supporting financial reporting and large-scale data visualization. Refactor and optimize systems, collaborate with product and data engineering teams to extract and serve high-volume private asset analytics, and follow Agile practices as a consultant for client projects.

Lead full‑stack development using Python (Flask) and React (JS/TS). Architect, test, and ship end‑to‑end applications, optimize and refactor code, work with product and data engineering to serve complex financial reporting and data visualization needs using relational databases like PostgreSQL.

Design, build, and maintain end-to-end full-stack applications using Flask and React. Architect scalable services, optimize and refactor code, collaborate with product and data engineering teams, and deliver secure financial reporting and data visualization solutions.

Design, architect, test, and deliver end-to-end full-stack applications using Python/Flask and React. Improve and refactor systems, collaborate with product and data engineering teams, and serve large-scale financial reporting and data visualization needs.

Design, architect, test, and deliver end-to-end full-stack applications using Python (Flask) backends and React frontends. Optimize and refactor code, work with product managers and data engineering to extract, parse, and serve large-scale private asset analytics, and build financial reporting and data-visualization solutions.

Develop experimental AI techniques for agentic marketing applications, especially image and video generation. Build proofs of concept, autonomous evaluation and improvement systems, realistic AI-generated video, and brand-aligned creative generation workflows. The role requires strong quantitative and probabilistic thinking, backend architecture skills, creativity with LLM applications, and product intuition.

Build and maintain open source AI integrations, frameworks, SDK extensions, notebooks, and example applications for Backblaze B2 Cloud Storage. Contribute to public repositories through coding, reviews, issue triage, testing, documentation, and maintenance. Use AI-assisted development tools while validating security, performance, and correctness. Collaborate with Product and QA to support real-world AI workflows and strong developer adoption.

Develop and support Experlogix and V6 product configurator platforms, integrations, APIs, and custom software. Build C#/.NET back-end services, JavaScript and HTML interfaces, and SQL solutions while leveraging Azure services. Monitor operational health, troubleshoot incidents, perform root-cause analysis, coordinate vendor fixes, maintain technical documentation, and support releases, CI/CD, and deployment automation.

Develop expertise in C3 AI products, troubleshoot and debug customer applications, implement and test fixes, assess product change requests, characterize reported issues, and collaborate with Product, Engineering, and Customer Services teams to deliver and document solutions.

Design, develop, test, maintain, and optimize enterprise web applications using TypeScript and modern frontend frameworks. Build responsive reusable UI components, integrate RESTful APIs, troubleshoot issues, and improve software quality. Collaborate with backend engineers, product owners, designers, customers, QA, DevOps, and cross-functional teams throughout the software development lifecycle.

Design, develop, test, and maintain enterprise Java/Kotlin applications. Gather technical requirements, propose software solutions, collaborate with product, architecture, QA, and development teams, and produce clean, maintainable code. Troubleshoot complex technical issues and drive resolutions while applying engineering best practices. The role also involves enterprise application development with Spring Boot, REST APIs, microservices, cloud platforms, SQL databases, CI/CD, DevOps, and Agile/Scrum practices.

Design, develop, test, implement, and support full-stack software solutions in Agile teams. Build cloud-based applications using Java, AWS, databases, Docker, and Kubernetes. Collaborate with product managers, stay current with technology trends, contribute to technology communities, and mentor other engineers. The role also involves containerization, CI/CD pipelines, and potentially performance or load testing.

Own Aleph’s shared AI foundation, including model selection and routing, proxy infrastructure, context management, tool design, and evaluation systems. Ship production agentic features using prompt engineering, caching, parallel tool calls, and subagents. Build observability for agent performance, collaborate with customers and finance experts to define quality standards, and drive adoption of reliable AI systems across product teams.

Own major product surfaces across Aleph’s FP&A platform, leading features from customer discovery through launch and iteration. Build performant spreadsheet-grade interfaces over large financial datasets, design robust data models and APIs, develop AI-native features involving orchestration, tool calls, and retrieval, and improve engineering standards through high-quality code and reviews. The role requires strong full-stack fundamentals, customer engagement, technical leadership, pragmatism, and experience building complex B2B products.

Build and maintain ETL and data integration pipelines using Informatica/IICS, Python, MuleSoft, Snowflake, and Airflow. Responsibilities include transforming and validating data, monitoring and troubleshooting pipeline jobs, managing API connections and database access, supporting environment promotions and CI/CD deployments, resolving production issues, documenting operational processes, and collaborating with analytics, platform, infrastructure, and business teams.

Develops and troubleshoots C#/.NET Windows, web, and automated test applications supporting manufacturing operations. Responsibilities include creating test scripts, fixing production software, conducting code reviews, preparing project documentation, managing source control, supporting databases and servers, mitigating technical risks, and mentoring engineers. The role requires expertise in enterprise web technologies, SQL Server, networking, scripting, server administration, and software development lifecycle practices.

Build and ship high-quality React Native mobile experiences for Kraken’s consumer financial products. Own features end-to-end, from problem discovery and technical design through implementation, launch, measurement, and iteration. Collaborate closely with Product and Design, work with APIs and real-time data, optimize performance and reliability, and contribute to architecture, code reviews, technical discussions, and product strategy.

Develop, maintain, debug, modernize, and troubleshoot enterprise payroll and HR applications across SaaS, mobile, and on-premises environments. Build and consume REST APIs, improve reliability and scalability, use AI-assisted coding tools, and collaborate with Engineering, QA, Product, and Support teams. Apply Agile development, unit testing, and TDD practices while managing priorities and contributing to technical improvement initiatives.

Own technical support and enablement for JLL’s internal AI platform. Debug production agent failures across identity, networking, cloud permissions, model APIs, MCP servers, runtimes, secrets, and deployments. Resolve incidents, create diagnostics, runbooks, documentation, templates, and self-service tooling, while eliminating recurring support issues. Build platform features across gateway services, agent tooling, identity, and observability, and share production ownership through incident response and root cause analysis.

Design and build AI agents, skills, and automation for software development workflows, including test generation, code review, and CI feedback. Improve local development environments, test performance, and internal engineering tools. Partner cross-functionally with engineers to adopt AI-assisted workflows, evaluate emerging AI capabilities, and reduce development friction through practical, useful solutions.

Design and develop scalable transportation applications using C#, .NET Core, ASP.NET, RESTful APIs, microservices, and SQL Server. Build secure authentication and SSO integrations, collaborate in Agile/Scrum teams, and own software from development through deployment. Use AI-assisted coding tools while reviewing generated code for accuracy, security, maintainability, and business alignment. Cloud, containerization, CI/CD, and DevOps experience are advantageous.

Designs, develops, tests, documents, and supports complex enterprise transportation applications across presentation, middle-tier, and data-tier layers. Uses AI coding and documentation tools to accelerate development while validating code quality, security, and correctness. Works with product and technical leads, troubleshoots production issues, and develops Java applications integrated with Oracle and Microsoft SQL Server databases. Uses Git, Maven, Jenkins, JUnit, WebSphere, MQ, and Linux.

Design and develop scalable transportation applications using .NET Core, ASP.NET, C#, RESTful APIs, microservices, and SQL Server. Implement secure SSO authentication, collaborate in Agile teams, and own code through deployment. Evaluate AI-generated code for accuracy, security, and business alignment while using AI-assisted tools to improve development speed and maintainability.

Design and develop scalable transportation applications using .NET Core, ASP.NET, C#, RESTful APIs, microservices, and SQL Server. Implement secure SSO authentication flows, collaborate in Agile/Scrum teams, and own code through deployment. Use AI-assisted development tools while reviewing generated code for accuracy, security, maintainability, and business alignment. Cloud, containerization, and CI/CD experience are advantageous.

Designs, develops, tests, documents, and supports complex enterprise transportation applications across presentation, middle-tier, and data-tier layers. The role delivers Java solutions using Oracle and Microsoft SQL databases, WebSphere, MQ, Maven, Jenkins, and Git. It integrates AI coding assistants for development, testing, documentation, debugging, and requirements analysis while reviewing AI-generated output for correctness and security. The engineer also collaborates with product and technical leads and resolves complex production issues.