Senior Software Engineer

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. 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.

What You Will Do

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.

Why It Might Be a Fit

You will provide technical leadership, mentor engineers, evaluate emerging technologies, and help define future AI-enabled products and platforms. You will collaborate with infrastructure, operations, and engineering teams to deploy AI-driven monitoring, control, and optimization solutions.

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

Benefits

• medical, dental, vision, life and AD&D insurance
• 401(k) match
• disability benefits
• wellness and education benefits
• employee stock purchase plan
• paid time off
• holidays