Senior Software Engineer

Digital Realty

Senior Software Engineer building AI-powered, embedded, and cloud-native platforms for Digital Realty’s data centers. Developing automation, monitoring, and optimization solutions across edge and industrial systems.

Posted 8/18/2026full-timeRemote • California, Colorado, Illinois, Massachusetts, New York, North Carolina, Texas, Virginia, Washington • 🇺🇸 United StatesSenior💰 $150,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI-powered applications, integrating embedded systems with cloud platforms, and leading the software development lifecycle. Proficient in multiple programming languages and experienced in deploying cloud-native solutions and industrial automation systems.

Highest-signal resume keywords

AI-Powered Application DevelopmentEmbedded Software DevelopmentCloud-Native Solutions DeploymentMicroservices ArchitectureTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC++CRustGoJavaJavaScriptTypeScriptPLC ProgrammingFirmware Development

Soft Skills

CommunicationCollaborationSystems-ThinkingLeadership

Tools & Technologies

OpenAIAzure OpenAIDockerKubernetesCI/CD PipelinesGitAzureAWSGCPIndustrial IoT

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree Preferred

Industry Keywords

AI FrameworksMulti-Agent SystemsData Center OperationsBuilding AutomationEnergy ManagementIndustrial AutomationSCADA PlatformsDigital TwinsPredictive MaintenanceIntelligent Facility Management

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformIoTJavaJavaScriptKubernetesLinuxMicroservicesPythonRTOSRustTypeScript

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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