Sr Advanced Cloud Developer

Honeywell Honeywell · Industrial · Azcapotzalco, CMX, Mexico

Senior Software Engineer / Technical Architect for Honeywell's Forge for Utilities applications in Mexico. This role leads end-to-end technical architecture, solution design, system evolution, and production reliability for cloud-native SaaS solutions. Responsibilities include platform ownership, data and analytics enablement, engineering excellence, and leveraging AI tools in the software development lifecycle. Requires 10+ years of software engineering experience, strong Azure and Databricks expertise, and experience building cloud-native SaaS applications.

What you'd actually do

  1. Serve as the technical lead and architect for Forge for Utilities solutions supporting Mexico-based customers.
  2. Own and evolve end‑to‑end system architecture, including application services, data platforms, integrations, and cloud infrastructure.
  3. Lead architecture and implementation of data ingestion, processing, analytics, and observability pipelines.
  4. Provide hands‑on technical leadership through design reviews, code reviews, and architectural guidance.
  5. Leverage AI tools in the software development lifecycle to improve development speed, quality, and productivity.

Skills

Required

  • 10+ years of experience in software engineering
  • architect‑level ownership of production systems
  • building cloud‑native SaaS applications from scratch
  • Azure‑native application development
  • Azure App Services, AKS, Functions
  • Azure Event Grid / Service Bus
  • Azure AD (Entra ID), Key Vault, networking, and security fundamentals
  • Databricks experience
  • Designing and operating production data pipelines
  • Spark, Delta Lake, notebooks, and scheduled jobs
  • Performance tuning and cost optimization
  • Strong data engineering background
  • Data ingestion, transformation, and orchestration
  • Building scalable, multi‑tenant data platforms for SaaS applications
  • Batch and streaming data architectures
  • Hands‑on coding experience with Java, Python, or equivalent backend technologies
  • Experience designing distributed systems
  • microservices
  • API‑first
  • event‑driven architectures
  • Experience running production SaaS systems
  • observability
  • monitoring
  • alerting
  • incident response
  • CI/CD
  • infrastructure as code
  • Exposure to using AI tools in software development
  • AI‑assisted coding and refactoring
  • AI‑assisted PR reviews and feedback
  • AI‑assisted test generation and developer productivity workflows
  • Strong communication skills
  • collaborate effectively with global teams in the US and India

Nice to have

  • utilities, energy, or industrial IoT domains
  • AMI, GIS, CIS, SCADA, asset analytics
  • Honeywell Forge or similar industrial data and analytics platforms
  • designing secure, multi‑tenant SaaS architectures at scale
  • AI/ML‑driven analytics
  • decision support
  • optimization solutions
  • working directly with customers or field deployments as a technical lead
  • regulatory, reliability, and operational constraints common in utility environments
  • Spanish fluency

What the JD emphasized

  • technical lead and champion
  • end‑to‑end technical architecture
  • primary technical authority
  • deep engineering expertise
  • cloud and data architecture
  • global technical leadership
  • technical lead and architect
  • end‑to‑end system architecture
  • scalability, security, performance, and cost
  • cloud-native, microservices‑based, and event‑driven architectures
  • technical health, scalability, and reliability
  • data ingestion, processing, analytics, and observability pipelines
  • multi‑tenant SaaS data platforms
  • design reviews, code reviews, and architectural guidance
  • AI tools in the software development lifecycle
  • AI-assisted coding and refactoring
  • AI-assisted code reviews and PR feedback
  • AI-assisted unit test generation
  • technical bridge
  • global teams in the US and India
  • trusted technical expert
  • 10+ years of experience in software engineering
  • architect‑level ownership of production systems
  • building cloud‑native SaaS applications from scratch
  • Azure‑native application development
  • Databricks experience
  • data engineering background
  • Java, Python, or equivalent backend technologies
  • distributed systems
  • production SaaS systems
  • Exposure to using AI tools in software development
  • Strong communication skills
  • global teams in the US and India