Top Software Engineer Jobs in Mexico

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.

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.

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.

Lead quality engineering for AI-powered products by designing scalable test automation across API, UI, integration, end-to-end, performance, and AI validation. Define quality strategies, metrics, coverage, and CI/CD quality gates; evaluate AI-assisted testing technologies; drive shift-left practices; and mentor developers and engineers on maintainable automation.

Lead the architecture, development, and production delivery of AI software products and platform capabilities. Collaborate across software development, data science, product management, and domain teams to apply generative AI, agentic systems, and machine learning. Drive scalability, reliability, security, testing, observability, and operational excellence while influencing technical direction across teams. Mentor developers, evaluate emerging technologies, and align engineering solutions with customer and business needs.

Design, build, deploy, and operate scalable full-stack, cloud-native software and infrastructure for clinicogenomic data products. Responsibilities include distributed systems, Kubernetes, serverless services, event-driven architecture, CI/CD, infrastructure as code, technical direction, engineering standards, AI-assisted development, cross-functional collaboration, and mentoring.

Build and own production AI features serving millions of students. Design debuggable agent, tool, and orchestration systems; establish evaluation practices; choose between LLMs, classic machine learning, and deterministic solutions; make defensible architecture decisions; and improve engineering standards through reviews and technical leadership.

Leads technical direction for Helix’s Experience platform, designing and implementing genomic software systems focused on patient and provider experiences. Drives AI adoption across engineering, including automated workflows, safeguards, and evaluations. Owns complex projects from scoping through production, establishes engineering standards, mentors technical leaders, improves reliability, and collaborates with product, design, research, science, and business teams.

As a Software Engineer, you will develop technology for credit-based products, manage databases, build APIs, and mentor new engineers.

Work with the engineering team to implement backend and frontend features, write tests and documentation, troubleshoot bugs, and help optimize platform performance while learning production-grade practices.

The Frontend Software Engineer will develop responsive user interfaces using React.js, integrate with APIs, and ensure code quality through testing and best practices while collaborating with teams.

Design and implement robust Rust services and foundational libraries for Kraken’s core infrastructure. Build scalable, observable, secure, and fault-tolerant distributed systems supporting trading and internal platforms. Collaborate on architecture, debug issues across the operating system, network, and application stack, and take end-to-end ownership of long-lived systems and libraries.

Leads and mentors Agile development teams while designing scalable Azure solutions, enterprise architectures, web applications, APIs, and integrations. The role involves hands-on software development, cloud migration, application modernization, stakeholder collaboration, and ensuring code quality, security, performance, and maintainability. It also supports Microsoft Power Platform solutions and contributes to technical decisions and continuous improvement.

Design, develop, and support enterprise client-facing applications and services using Java, Spring Boot, REST APIs, and microservices. Build scalable software features, maintain APIs, collaborate on architecture, perform testing and code reviews, resolve defects, and support CI/CD pipelines with DevOps teams. Participate in Agile ceremonies and use AI-assisted development tools. Contribute to AI-powered applications, intelligent automation, and Generative AI-enabled products.

Designs, builds, tests, and maintains core eDiscovery software using .NET/C# and PostgreSQL in Azure. Owns features from design through production, supports live systems, investigates incidents, and resolves issues across the stack. Uses AI development tools daily for coding, testing, debugging, and code review while validating generated code. Participates in technical design and code reviews, mentors junior engineers, and promotes strong engineering standards.

Support and scale cloud-based RDBMS and NoSQL systems, build automation/IaC for deployments, manage backups and HA, monitor and troubleshoot performance, collaborate on schema changes, and enforce data integrity and security standards to ensure reliable 24/7 operation.

Design, develop, and maintain custom ServiceNow applications, workflows, catalog items, and integrations. Build AI skills, autonomous agents, and agentic workflows using Now Assist. Govern platform changes, manage cross-platform impacts, oversee upgrades, and ensure vendor compliance. Partner with architects and stakeholders to translate requirements into Agile deliverables. Mentor developers and apply ITIL principles while supporting core ServiceNow modules.

Develop and maintain web and desktop .NET applications (C#) across full lifecycle. Build RESTful APIs with ASP.NET Core, maintain WinForms/WPF apps, implement MVVM/XAML, customize DevExpress controls, handle multi-threading, and improve existing libraries while collaborating in an English-speaking team.

Develop and support software features, contribute to product demos and troubleshooting, while ensuring the delivery of technical solutions.