Sr Software Development Engineer

F5

Región Centro

Presencial

MXN 2.027.000 - 2.702.000

Jornada completa

Hace 13 días

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Descripción de la vacante

F5 helps organizations worldwide build, secure, and run applications, delivering modern digital experiences through scalable web platforms.

We are seeking a Senior Software Development Engineer to lead architecture, development, and delivery across AI-driven initiatives, mentor engineers, and collaborate with Product, Security, and Data teams to shape the future of AI-enabled software.

Formación

  • Experience leading architecture decisions for large-scale web apps.
  • Strong ownership and mentoring of engineers.
  • Experience with AI-driven software development and integrations.

Responsabilidades

  • Lead the architecture, design, development, testing, deployment, and operation of scalable customer-facing web apps.
  • Define and drive standards, tech strategies, and platform modernization.
  • Architect and implement integrations with enterprise SaaS platforms and external APIs.
  • Drive AI-enabled development practices and responsible AI governance.

Descripción del empleo

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

Overview :

We are seeking an experienced Senior Software Development Engineer (Sr. SDE) to lead the architecture, development, and delivery of modern digital experiences for a global audience. This role combines deep full stack engineeringexpertisewith AI-driven software development practices, enabling teams to accelerate innovation through intelligent automation and generative AI solutions.

The ideal candidate is a technical leader with a proventrack recordof driving architecture decisions, leading complex engineering initiatives, and mentoring engineers. They will partner closely with Product, Marketing, Data, Platform, and Security teams to build scalable, secure, and high-performing customer-facing applications while helping shape the organization’s technical strategy and AI adoption roadmap.They will also integrate enterprise SaaS platforms and third-party services to deliver connected customer experiences and business workflows.

The successful candidate brings strong ownership, technical excellence, and the ability to influence engineering decisions across teams and business functions.

Key Responsibilities:

Software Engineering & Architecture:

  • Lead the architecture, design, development, testing, deployment, and operation of highly scalable customer-facing web applications and digital platforms.

  • Own end-to-end technical solutions for complex, cross-functional initiatives spanning multiple systems, teams, and business domains.

  • Define and drive architectural standards, technology strategies, and platform modernization efforts focused on scalability, reliability, security, maintainability, and performance.

  • Make critical architecture and design decisions that influence long-term engineering direction and organizational technical strategy.

  • Lead the evaluation,selection, and adoption of modern engineering frameworks, tools, and cloud-native technologies.

  • Design and implement integrations with enterprise SaaS platforms and external APIs.

  • Establish and champion engineering best practices for software architecture, code quality, testing, CI/CD, observability, and operational excellence.

  • Drive system resiliency, performance optimization, and incident response strategies across distributed systems and services.

  • Partner with engineering leaders toidentifytechnical debt, prioritize modernization initiatives, and improve platform health.

  • Ensure solutions meet enterprise requirements for security, compliance, governance, and operational readiness.

AI-Augmented Software Development:

  • Lead adoption of AI-assisted software development practices that improve engineering productivity, software quality, and delivery velocity.

  • Drive enterprise-wide best practices forleveragingGenerative AI coding assistants and AI-enabled developer workflows.

  • Incorporate AI-driven capabilities into software design, development, testing, documentation, code reviews, knowledge management, and operational processes.

  • Evaluate and recommend emerging AI technologies, platforms, and frameworks that create measurable businessimpact.

  • Define standards and governance models for responsible AI development, data privacy, security, and regulatory compliance.

  • Partner with engineering leadership to establish AI engineering strategies and enable broader organizational adoption.

Generative AI Solutions & Agent Development:

  • Architect, design, and deliver AI-powered applications, copilots, intelligent assistants, and autonomous agents that improve customer and business outcomes.

  • Lead integrations with enterprise AI platforms, foundation models, and large language model ecosystems.

  • Design advanced AI workflowsutilizingprompt engineering, Retrieval-Augmented Generation (RAG), orchestration frameworks, tool usage, memory management, and agent-based architectures.

  • Establish evaluation frameworks for AI quality, observability, reliability, governance, and performance measurement.

  • Drive AI application scalability, cost optimization, and operational excellence in production environments.

  • Collaborate with business and technology stakeholders toidentifystrategic opportunities for AI-driven transformation and automation.

Technical Leadership:

  • Serve as a senior technical leader across multiple engineering initiatives and product areas.

  • Influence engineering strategy, platform architecture, technical roadmaps, and organizational technology decisions.

  • Lead design reviews, architecture reviews, and

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