Senior Software Engineer

Digital Realty•Dallas, TX

4d•$150,000 - $170,000•Remote

About The Position

As a Senior Software Engineer, you will lead the design and development of next-generation intelligent software platforms that combine Generative AI, Agentic AI systems, embedded technologies, and cloud-native applications. Working across software, hardware, and infrastructure domains, you will create innovative solutions that drive automation, operational efficiency, and data-driven decision-making. This role plays a critical part in advancing Digital Realty's AI-enabled products and infrastructure technologies, helping bridge edge computing, industrial automation, and cloud services to solve complex real-world challenges.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline; Master's degree preferred.
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.

Nice To Haves

Experience with PLC programming, industrial automation systems, SCADA platforms, Building Management Systems (BMS), and Industrial IoT environments is highly desirable.

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.