Senior Software Engineer

Digital Realty delivers data center, colocation, and interconnection solutions through its global data center platform. The Senior Software Engineer will design and develop AI-powered applications, cloud-native software, embedded systems, and edge computing solutions. The role also leads software development activities, integrates industrial and operational technologies, and provides technical leadership for AI-enabled infrastructure products and platforms.

Responsibilities:

• Design and develop AI-powered applications leveraging Large Language Models (LLMs), Agentic AI frameworks, multi-agent systems, Retrieval-Augmented Generation (RAG), and intelligent decision-support solutions
• Build intelligent workflows that integrate AI agents with enterprise applications, APIs, databases, operational systems, and cloud services
• Architect and develop scalable software solutions, APIs, microservices, and distributed systems using modern programming languages and cloud-native technologies
• Lead the full software development lifecycle, including requirements gathering, solution architecture, 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 including Ethernet, Serial Communications, MQTT, Modbus, CAN Bus, I²C, SPI, BACnet, OPC-UA, Profinet, and EtherNet/IP
• Develop intelligent solutions supporting data center operations, building automation, energy management, cooling systems, power monitoring, and industrial automation environments
• 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

Requirements:

• 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 technologies such as OpenAI, Azure OpenAI, Anthropic Claude, LangChain, Semantic Kernel, AutoGen, CrewAI, vector databases, and RAG architectures
• Experience designing and deploying cloud-native solutions in Azure (preferred), AWS, and/or GCP environments utilizing 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
• Strong communication, collaboration, systems-thinking, and leadership skills, with the ability to lead initiatives from concept through deployment
• Master's degree preferred
• Experience with PLC programming, industrial automation systems, SCADA platforms, Building Management Systems (BMS), and Industrial IoT environments is highly desirable