Top Software Engineer Jobs in Mexico City

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Build and ship production AI agents that help mobile app developers manage subscriptions and paywalls. Own agent orchestration, tool execution, context management, evaluation, observability, permissions, and human-in-the-loop controls. Develop reliable, secure, user-facing backend systems, scope projects independently, monitor adoption, improve features after launch, participate in architecture and incident response, and mentor engineers.

Owns product initiatives end to end, including problem framing, architecture, implementation quality, AI-agent workflows, production launches, observability, and post-launch metrics. Partners closely with product managers, designers, engineering peers, and engineering management. Makes autonomous technical decisions, ensures security and performance, and delivers measurable marketplace outcomes across a shared PHP/Laravel and TypeScript/React platform.

Designs and maintains scalable Golang backend services, APIs, microservices, automation tools, and Terraform infrastructure modules. Automates cloud provisioning, collaborates across architecture, DevOps, security, and engineering teams, and participates throughout the software development lifecycle. Responsibilities include code and infrastructure reviews, troubleshooting, performance optimization, production support, and mentoring. The role also promotes practical AI tool adoption, including Claude, while owning deliverables and communicating project risks and dependencies.

Lead design, development, and deployment of scalable, reliable cloud solutions. Collaborate with cross-functional teams to define requirements, ensure security and compliance, integrate systems, and identify process improvements. Mentor and lead project teams while working with minimal supervision in a hybrid Mexico City environment.

As a Lead Software Engineer at PMG, you will design, develop, and deploy scalable AI-driven solutions, mentor other engineers, and enhance the Alli platform for digital marketing. Responsibilities include coding, code reviews, and integration with cross-functional teams.

Build and deploy production software for B2B fintech customers, owning features from design through monitoring and maintenance. Engineers may focus on backend-leaning product development or data and machine learning systems for risk, fraud, and spend intelligence. The role emphasizes AI-native development practices, strong software fundamentals, collaboration with Product and Design, ownership, and rapid learning in a multicultural environment.

The Senior Software Engineer will build AI-native tools to improve engineering productivity, reduce manual effort, and enhance software delivery at EarnIn, drawing from experience in developer workflows and infrastructure.

Design and implement reliable, high-performance Rust services and libraries powering trading, payments, and crypto products. Build scalable distributed systems, network services, and asynchronous applications for revenue-critical, low-latency environments. Debug issues across the operating system, network, and application layers; collaborate with product teams; own systems end to end; and mentor engineers while contributing to technical culture.

We are seeking a product-minded backend engineer to work on our Customer Studio product, focusing on data performance, analytics, audience syncing, and generative AI. The role requires strong architecture, scalability considerations, and product engagement.

The role involves developing tools for enterprises to manage Hightouch deployments, focusing on access control, change management, and data warehouse performance.

The Software Engineer will work on high-throughput streaming systems, scaling infrastructure to manage billions of events, ensuring low-latency and high performance while delivering projects from start to finish with significant ownership.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

Develop backend systems using C# and AWS, design REST APIs, enhance performance, and automate infrastructure in a remote team environment.

Design and develop robust REST APIs and scalable features utilizing C# and AWS services. Collaborate with a diverse team while focusing on clean code and performance improvements.

As a Backend Developer, you'll create and enhance the backend using Python and TypeScript, design REST APIs, leverage AWS for the platform, and work in a collaborative environment.

Design, build, test, deploy, and operate .NET backend services, RESTful APIs, and background workers on Kubernetes and Microsoft Azure. Develop service architectures and inter-service communication, contribute to CI/CD, observability, and infrastructure practices, participate in technical decisions and reviews, and mentor engineers. The role emphasizes secure, reliable distributed systems and collaboration with architecture, product, and DevOps teams.

Design and develop full-stack browser extensions using React, TypeScript, HTML, CSS, and REST integrations. Collaborate in Scrum with product, UX, and engineering teams; contribute to architecture, coding standards, testing, documentation, debugging, performance optimization, and production issue resolution. Mentor junior and mid-level engineers through reviews and pair programming, improve development workflows, and stay current with front-end technologies and security practices.

Architect and develop scalable backend microservices for the Consumer Lending team. Design secure, high-performance infrastructure handling millions of daily requests, integrate Google Cloud services, and build distributed financial systems supporting payments, compliance, and disbursements. Collaborate with product, operations, and compliance teams, mentor junior engineers, and continuously improve platform capabilities through analytics and user feedback.

As an AI Software Engineer, you will develop Generative AI solutions, manage full-cycle development, implement MLOps pipelines, and ensure compliance with AI standards.

Own end-to-end onboarding features: design and build backend services for KYB/KYC, document collection, verification orchestration, and account activation. Implement frontend UI to reduce friction, integrate third-party identity providers, collaborate with Product/Risk/Compliance, apply AI tools to automate workflows, and elevate team quality through code reviews and pairing.

Build and ship end-to-end features for internal dashboard and customer portal in a TypeScript/Next.js stack. Design UIs, implement APIs, data models, tests, media playback, embedding-based search, secure access controls, and work with large multimodal datasets across Postgres and AWS.

Design, build, and operate Rust services powering Scribd’s large-scale Content Library and core infrastructure. Own features end to end, evolve Python tooling, optimize DataFusion, Parquet, S3, caching, and PostgreSQL/Aurora systems, and strengthen governance through lineage, authorization, and deletion controls. Lead cross-functional technical projects, support platform users, mentor engineers, improve developer workflows, and maintain production reliability through observability, on-call, and incident response.

Join Aleph's engineering team to develop the Core Product, focusing on user-facing features for financial data insights. Collaborate with leadership, design robust software components, and contribute to system architecture in a fast-paced, remote environment.

Own and shape full-stack architecture and technical roadmaps for Lyft Luxury modes. Translate business goals into delivery, improve system observability and stability, reduce tech debt, mentor engineers, lead cross-team alignment, and participate in hiring and internal engineering programs to drive product quality and impact.