Top Software Engineer Jobs in Mexico

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.

Lead design, development, testing, and deployment of scalable fullstack applications and integrations. Onboard customers by integrating data sources, build and troubleshoot API authentication and dynamic API calls, collaborate on product and UX, contribute to architecture, mentor junior engineers, and work with Salesforce integrations.

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.

Own and improve the Command|Alert alerting platform, including rule evaluation, anomaly detection, event correlation, reliable Kafka and OpenSearch pipelines, and downstream notifications. Convert security and network telemetry into usable topologies and dependency maps, support LLM-based alert generation, resolve production issues, lead reliability improvements, deliver independent projects, and mentor engineers while shaping technical direction.

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 desktop, mobile, and connectivity software integrating linear actuators and control systems with third-party devices and industrial platforms. Build communication libraries, APIs, connectors, and protocol integrations using BLE, Matter, UART, and CANBUS. Implement packet framing, parsing, checksums, and serial communication. Enhance Flutter mobile and Python PyQt5 desktop applications while testing and debugging software interactions with embedded systems.

Design, develop, and maintain integration services connecting warehouse management systems with ERP platforms, carriers, and trading partners. The role involves solving technical issues, improving integration architecture, debugging distributed systems, delivering reliable software in an Agile environment, and mentoring junior developers. Responsibilities also include technical documentation, code quality ownership, process improvement, stakeholder collaboration, and identifying enhancements to integration reliability and error handling.

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.

Design and develop innovative software solutions, contributing to high-quality releases, code reviews, and continuous improvement in a SCRUM team. Participate in application support and manage deployment processes for production environments.

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

Participate in all phases of the software development lifecycle using Agile. Translate business requirements into BRDs, design, develop, and maintain .NET applications, debug defects, execute unit/integration/system testing, collaborate cross-functionally, and produce technical documentation and test plans.

Develops and implements industrial automation software and equipment solutions. Responsibilities include PLC programming, robot programming, machine vision integration, industrial communication protocols, safety-device implementation, debugging automated equipment, root-cause analysis, production support, process improvement, and collaboration with project managers. The role supports electronics and mechanical assembly manufacturing processes while following company automation standards.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

Develop and optimize SaaS/PaaS applications using .NET technologies, ASP.NET Core, ORM frameworks, cloud services, and relational or NoSQL databases. Translate product requirements into technical solutions, build and test features, perform code reviews, resolve escalated customer issues, and tune application performance. The role also involves designing APIs and distributed systems, using containers and orchestration tools, and potentially managing globally distributed development teams.

Join a distributed team to design, build, and maintain scalable full-stack web applications. Contribute backend and frontend code, follow OOP principles, troubleshoot and optimize performance, participate in code reviews, work in Agile, and learn or use PHP/Laravel as needed. Must overlap Central or Pacific Time and communicate in advanced English.

Early-career engineer role building AI-driven features, prototypes, and production-quality systems using modern AI coding agents. Work closely with founders and senior engineers to iterate fast, direct and evaluate AI agents, and contribute to AI infrastructure and agentic development workflows.

As a Software Engineer, you will develop high-quality software solutions, ensure timely project completion, and participate in the Agile process, improving methods of product development.

Design, implement, and release high-quality software features and bug fixes within a microservices architecture. Follow best practices, participate in Agile, use CI/CD and Kubernetes, and continuously improve development processes and team collaboration.

Lead end-to-end development of scalable applications using TypeScript, Node.js, modern frontend frameworks, relational databases, AWS, Docker, and CI/CD. Design APIs, interfaces, schemas, tests, and production architectures while collaborating directly with clients and cross-functional teams. Use AI-assisted development tools responsibly for coding, testing, debugging, and planning. Participate in technical decisions, client demos, and agile delivery within a small autonomous engineering team.

As a Lead Software Engineer for AI, you will develop AI-powered systems, focusing on backend services, scalable production systems, and collaboration with cross-functional teams to deliver intelligent solutions.

Lead hands-on design and delivery of production-ready agentic AI applications and platform capabilities. Drive architecture, SDLC best practices, observability, security, and automation. Collaborate with Applied AI, Product, and Platform teams to move projects from prototype to governed production while mentoring engineers and improving developer productivity using AI-enabled tooling.

Design and build scalable, production-grade AI-enabled and agentic applications and developer platforms. Own architecture, coding, testing, CI/CD, observability, security, and operational readiness. Integrate AI tools and workflows to improve engineering productivity and take AI solutions from prototype to production.

Develop, test, debug, and maintain software, focusing on complex components and production issues. Collaborate on requirements, architecture, code reviews, and technical problem-solving. Research and evaluate new technologies and best practices, provide domain expertise, support operations teams, and mentor junior engineers.