Top Software Engineer Jobs in Mexico

Own front-end architecture and user experience for production web products using React and TypeScript. Build accessible, responsive interfaces, integrate REST APIs and authentication, manage complex state, optimize performance with Next.js, and implement robust testing and security practices. Collaborate on AI-native development using generative AI tools, prompt engineering, and validation guardrails. Maintain scalable design systems, deployment workflows, and high-quality engineering standards.

Design and build scalable, production-grade AI-enabled and agentic applications and platforms. Implement architectures, CI/CD, testing, observability, and secure, reliable distributed systems while improving engineering productivity via AI-assisted workflows.

Develops and maintains shared platform capabilities across UI components, backend services, APIs, authentication, licensing, and shared services. Responsibilities include writing tested and maintainable code, debugging across the stack, participating in technical design and code reviews, improving performance and reliability, supporting secure development, and resolving customer escalations. Requires professional software development experience with C#, .NET, TypeScript, JavaScript, web technologies, REST APIs, SQL, and relational data access technologies.

Design, build, and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Collaborate with ML, product, and front-end teams to ship AI-powered features, evolve infrastructure as code for high availability, mentor junior engineers, and contribute to documentation, testing, and reliability across the Superhuman product suite.

Design, develop, scale, and maintain BlackLine’s cloud-based backend services and product features. Build microservices, APIs, event-driven systems, and AI capabilities while ensuring security, performance, resiliency, testing, and maintainability. Support deployments and releases, troubleshoot production issues, improve engineering practices, and mentor junior developers. Collaborate across teams in an agile environment to deliver high-quality solutions and drive technical innovation.

Architects and delivers full-stack cloud applications for automotive service documentation and diagnostics platforms. Modernizes legacy ASP.NET/C# and SQL Server systems into Java, React, PostgreSQL, and GCP services. Builds CI/CD pipelines, automated tests, secure REST APIs, and cloud-native solutions. Collaborates with global product, business, and engineering teams while leading Agile practices, technical documentation, story mapping, and code reviews.

Design, build, and approve IS solutions and services (SAP ABAP focus), ensure alignment with enterprise architecture, support installation and change management, resolve recurring incidents, and collaborate across IS teams to maintain quality, compliance, and maintainability.

Build AI-powered features that automate data-driven slide decks and documents. Develop production LLM solutions using LangChain, RAG, LlamaIndex, and generative AI technologies; improve system performance and reliability; and collaborate with designers and engineers. Responsibilities span AI insights, content generation, integrations, optimization, and potentially LLM agents. The role requires advanced Python, machine learning and NLP expertise, and experience building and fine-tuning LLMs in production.

Develop, test, debug, and support cloud-native retail and enterprise software using Java and related technologies. Build APIs, microservices, integrations, and platform enhancements; participate in discovery, code reviews, automated testing, CI/CD, deployments, observability, and production support. Collaborate with architects, product, QA, DevOps, and professional services teams while applying AI-assisted development tools and contributing to technical documentation and continuous improvement.

Operate and improve enterprise AI/ML platforms across Palantir Foundry, AWS Bedrock, and Amazon SageMaker. Responsibilities include deployment, monitoring, observability, automation, governance, model lifecycle management, incident response, root cause analysis, CI/CD, infrastructure as code, and production reliability. The role provides technical leadership and mentorship while partnering with data, infrastructure, security, architecture, product, and engineering teams to support cloud-based AI workloads and Generative AI adoption.

The Software Engineer will design and maintain backend APIs, overseeing API performance while collaborating with cross-functional teams to align backend architecture with product strategy.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

Develop, test, deploy, and support cloud-native software for retail and enterprise platforms. Responsibilities include implementing APIs, microservices, integrations, and platform enhancements; participating in discovery, proof-of-concept development, code reviews, automated testing, CI/CD, observability, troubleshooting, production support, and technical documentation. The engineer collaborates with architects, product, QA, DevOps, and professional services teams while using AI-assisted development tools and contributing to continuous improvement.

Develop, test, deploy, and support cloud-native software for retail and enterprise platforms. Build APIs, microservices, integrations, and platform enhancements while contributing to discovery, code reviews, automated testing, CI/CD, observability, troubleshooting, documentation, and production support. Collaborate with architects, product, QA, DevOps, and professional services teams in Agile delivery environments, using AI-assisted development tools to improve engineering productivity and quality.

Leads end-to-end delivery of cloud-native retail platform solutions through hands-on coding, prototyping, technical design, code reviews, and post-release support. Drives Dual-Track Agile discovery and delivery, integrates AI-assisted development workflows, leads client technical engagements, mentors engineers, makes architectural trade-offs, and ensures security, scalability, observability, and quality standards. Builds modern microservices and integrations using cloud platforms, APIs, messaging, databases, containers, and automated testing.

Develop and maintain reliable software across laboratory systems and enterprise AI tooling. Responsibilities include building features, fixing bugs, writing tested code, reviewing AI-generated code, integrating APIs and databases, collaborating with product and stakeholders, and learning Helix’s cloud infrastructure and genomics-related domain. Engineers progressively take ownership of projects while working with AI coding agents as part of the standard development workflow.

Develop, test, debug, deploy, and support cloud-native retail and enterprise software. Build APIs, integrations, microservices, and platform enhancements while participating in Agile discovery and delivery. Use AI-assisted development tools, automated testing, CI/CD, observability, and DevOps practices. Collaborate with architects, product teams, QA, and DevOps; troubleshoot production issues, document solutions, participate in code reviews, and support deployments.

Build and maintain scalable, reliable features across the Mobbin platform and internal tools, with a front-end focus and backend development. Collaborate with designers and cross-functional teammates, make and communicate technical decisions, improve code and infrastructure, write tests and documentation, and mentor engineers. The role requires strong computer science fundamentals, React production experience, proficiency in strongly typed languages, and working knowledge of Postgres, SQL, and Supabase.

Develop and maintain enterprise insurance applications using the Microsoft .NET stack. Build distributed n-tier systems, RESTful APIs, and SQL Server databases; write unit tests; participate in architecture, code reviews, and Agile Scrum ceremonies; troubleshoot production issues and collaborate with product, QA, and stakeholders.

Designs, builds, maintains, modernizes, and optimizes C#/.NET applications. Responsibilities include migrating legacy systems, integrating technologies, managing version control, developing automated tests and CI/CD pipelines, troubleshooting performance issues, supporting users, participating in Agile/Scrum ceremonies, and conducting code reviews. The role also develops web services, WinForms applications, Excel integrations, and potentially Blazor applications.

Develop and maintain cross-platform mobile applications using .NET MAUI and C#. Integrate RESTful APIs and backend services, manage SQL-based data persistence, optimize mobile performance, and troubleshoot asynchronous lifecycle issues. Collaborate with UX designers and backend engineers to deliver intuitive, reliable applications.

Build and maintain high-quality React Native mobile applications for Krak. Own feature delivery from technical design through release and iteration, create performant and maintainable UI components, write tested code, participate in reviews and design discussions, and collaborate with product, design, frontend, and Rust backend engineers. Contribute to shared components, tooling, code quality, and reliable consumer financial experiences.

Build and operate production GenAI features and shared AI platform infrastructure, including RAG pipelines, LLM personalization, conversational agents, agentic workflows, evaluation frameworks, guardrails, monitoring, and observability. Own features end-to-end from specification through deployment and on-call support. Use AI-assisted development tools, evaluate model quality, collaborate with personalization teams, and document technical decisions.

Design, deliver, and operate business-critical distributed systems for Signify Health’s value-based care technology platform. The role requires full-stack development, polyglot programming, scalable distributed-systems expertise, cloud engineering, SQL and relational database knowledge, and strong communication. Preferred experience includes event-driven architectures, AI-assisted development tools, Kafka, APIs, containers, Kubernetes, infrastructure as code, monitoring, CI/CD, and agile methods. Quarterly or as-needed travel is required.

Design, develop, test, and document embedded software for medical devices. Collaborate with cross-functional teams (Quality, Regulatory, Hardware, QA) to ensure compliant, well-tested designs. Lead technical efforts, integrate/debug systems, participate in design reviews, and maintain design/test documentation.