Senior Software Engineer

🕒 Agosto 18

🏄 California, Colorado, +7 estados a mais – Remoto

🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $150.000 - $170.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Digital Realty

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

A Digital Realty conecta empresas e dados, oferecendo toda a gama de soluções de data center, colocation e interconexão. A PlatformDIGITAL®, a plataforma global de data center da empresa, fornece aos clientes um "ponto de encontro" seguro para dados. A Digital Realty capacita seus clientes com as comunidades de dados conectados que são importantes para eles, com uma presença global de data centers composta por mais de 300 instalações em mais de 50 metrópoles, em mais de 25 países, espalhados por seis continentes.

Descrição

• Design and develop AI-powered applications using LLMs, Agentic AI frameworks, multi-agent systems, RAG, and intelligent decision-support solutions • Build intelligent workflows integrating AI agents with enterprise applications, APIs, databases, operational systems, and cloud services • Architect and develop scalable software solutions, APIs, microservices, and distributed systems • Lead the full software development lifecycle from requirements gathering and solution architecture through development, testing, deployment, and ongoing support • Develop firmware and software for embedded devices, sensors, controllers, gateways, and edge computing platforms • Integrate embedded and edge devices with cloud platforms, AI services, Industrial IoT environments, and operational technology systems • Design and implement communication interfaces and industrial protocols • Develop intelligent solutions for data center operations, building automation, energy management, cooling systems, power monitoring, and industrial automation • Collaborate with infrastructure, operations, and engineering teams to deploy AI-driven monitoring, control, and optimization solutions • Provide technical leadership, mentor engineers, evaluate emerging technologies, and help define future AI-enabled products and platforms

🎯 Requisitos

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline • 5+ years of professional software development experience delivering production-grade applications and distributed software architectures • Strong proficiency in multiple programming languages including Python, C++, C, Rust, Go, Java, and/or JavaScript/TypeScript • Experience developing AI-enabled applications using OpenAI, Azure OpenAI, Anthropic Claude, LangChain, Semantic Kernel, AutoGen, CrewAI, vector databases, and RAG architectures • Experience designing and deploying cloud-native solutions in Azure, AWS, and/or GCP • Experience with Docker, Kubernetes, CI/CD pipelines, and Git-based workflows • Hands-on experience developing embedded software and firmware for Embedded Linux, RTOS environments, ARM processors, and microcontroller platforms such as STM32, ESP32, and NXP • Experience integrating embedded devices, IoT technologies, industrial systems, and edge computing platforms with cloud services • Knowledge of data center infrastructure, HVAC systems, cooling technologies, power systems, industrial controls, digital twins, predictive maintenance, or intelligent facility management solutions • Experience with PLC programming, industrial automation systems, SCADA platforms, Building Management Systems, and Industrial IoT environments is highly desirable • Strong communication, collaboration, systems-thinking, and leadership skills • Master's degree preferred

🏖️ Benefícios

• Medical insurance • Dental insurance • Vision insurance • Life insurance • AD&D insurance • 401(k) match • Disability benefits • Wellness benefits • Education benefits • Employee stock purchase plan • Paid time off • Holidays • Onboarding program • Clear career pathways • Continuous training • Specialized development opportunities • Supportive and inclusive environment