Senior Software Engineer/Developer, Frontend
Hace 6 días
Zapopan Jal, Zapopan (municipio); Estado de Jalisco, México
Fulcrum Digital Inc
Jornada completa
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We are looking for an exceptional Senior Software Engineer
(Java)
This is a high-impact role for a hands-on engineer who combines deep software engineering expertise with a passion for AI, innovation, and practical problem solving. You will work at the intersection of software engineering, AI capability development, developer experience, and platform innovation—turning emerging technologies into secure, reliable, and reusable capabilities that create measurable business value. The ideal candidate brings strong ownership, analytical thinking, and a continuous-learning mindset, and is excited to explore new tools, challenge conventional approaches, and raise the bar for how modern software is built. As a Senior Software Engineer, you will:
Apply AI and agentic development patterns to improve engineering productivity across design, coding, testing, debugging, documentation, release engineering, and operational support
Use modern tools and coding assistants thoughtfully to accelerate delivery while maintaining strong standards for quality, security, reliability, and maintainability
Partner with product, data science, and engineering teams to translate ideas into production-grade solutions with clear business impact
Improve software development lifecycle efficiency through automation, AI-assisted workflows, and engineering excellence
Influence architecture, engineering standards, and best practices for building scalable modern applications in cloud-native ecosystems
Continuously learn, experiment, and help elevate team capability in emerging AI and software engineering techniques Ideal Candidate
7+ years of strong software engineering experience building scalable, maintainable, production-grade systems
~ Practical experience using AI coding and engineering assistants to improve productivity across the software development lifecycle
~ Experience improving PDLC and SDLC efficiency through automation, CI/CD, automated testing, and AI-assisted engineering workflows
~ Strong programming skills in one or more backend languages such as Java and Python, with the ability to write high-quality, well-tested, production-ready code
~ Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure
~ Good understanding of APIs, distributed systems, event-driven architectures, data pipelines, and enterprise integration patterns
~ Experience with modern front-end frameworks such as React and/or Next.js is beneficial
~ Familiarity with inference APIs, embeddings, retrieval-augmented generation, model evaluation, and AI safety controls is preferred
You actively leverage AI tooling to enhance productivity, improve quality, and accelerate software delivery
You balance speed with engineering discipline and care deeply about security, resilience, quality, and maintainability
You have a product mindset and care
about us
er impact, developer experience, and continuous improvement You enjoy experimenting, challenging assumptions, and helping shape the future of modern software engineering Strong proficiency in Java 1 Python, or similar backend languages;
Experience with React or Next.js
Experience with cloud-native development using Kubernetes and managed cloud platforms such as AWS or Azure
Practical use of AI coding assistants to improve delivery speed and quality;
Familiarity with LLM orchestration, prompt and context management, memory patterns, inference APIs, embeddings, retrieval-augmented generation, vector databases, model evaluation, AI observability, and responsible AI controls.
about us
er impact, developer experience, and continuous improvement You enjoy experimenting, challenging assumptions, and helping shape the future of modern software engineering Strong proficiency in Java 1 Python, or similar backend languages;
Experience with React or Next.js
Experience with cloud-native development using Kubernetes and managed cloud platforms such as AWS or Azure
Practical use of AI coding assistants to improve delivery speed and quality;
Familiarity with LLM orchestration, prompt and context management, memory patterns, inference APIs, embeddings, retrieval-augmented generation, vector databases, model evaluation, AI observability, and responsible AI controls.