Mid Level Backend Engineer

• The Avigilon Alta Video UI team is responsible for the mission-critical infrastructure that powers our VMS. We are currently evolving our platform to support deep-tier interconnection across the Motorola product portfolio
• Our team values high-performance engineering, architectural integrity, and a commitment to building the most reliable real-time tools in the industry
• While our stack features Vue 3, Pinia, and TypeScript on the frontend and Go on the backend, we prioritize engineering fundamentals over specific library knowledge. We are looking for a developer who can navigate logic, manage state, and help us build maintainable solutions
• At Motorola Solutions, we believe that everything starts with our people
• We empower each Motorolan to bring their authentic self to work, innovate with purpose, and build software that protects lives in the moments that matter
• As a Backend Engineer based in Edinburgh, you will play a key role in advancing our “Solving for safer” mission by contributing to our next-generation video management platform
• You will join a supportive, skilled engineering team based in Edinburgh and across the UK, bringing fresh ideas and collaborative energy to our high-throughput, cloud-based distributed systems
• In this role, you will help to design, build, and maintain our core backend ecosystem—monitoring and managing video cameras, access control systems, and IoT sensors globally
• Service Design & Systems Architecture:
• Develop resilient backend services and distributed APIs that ingest, process, and manage streaming video and real-time sensor data
• Integrate AI analytics pipelines into cloud services to provide actionable situational awareness
• Maintain scalable database architectures and event-driven data pipelines to help support uninterrupted system performance
• Scalability & Continuous Delivery:
• Enhance system performance, optimize throughput, and help to ensure high availability across multi-region cloud deployments
• Work with modern CI/CD pipelines and deployment tooling to enable smooth, reliable software releases
• Participate in technical design discussions, peer code reviews, and build automated testing across our codebase
• Cross-Functional Collaboration:
• Partner within an agile team, working closely with AI analytics, frontend, and site reliability engineering (SRE) teams to influence feature direction
• Collaborate with security and reliability engineers to help construct resilient, high-availability cloud solutions
• Participate in continuous improvement initiatives across distributed web and cloud architectures

Benefits

• Flexible work models
• Paid time off
• Paid parental and family leave
• Health care benefits
• Global wellness resources
• Employee assistance programs
• Rotation programs
• Mentor relationships
• Learning and development opportunities
• Retirement benefits
• Employee bonuses
• Stock grants & employee stock purchase plans

• We encourage applications from candidates with a Bachelor’s degree or equivalent practical experience who are excited to solve complex technical challenges in cloud security and AI
• Bachelor’s Degree in Computer Science, Software Engineering, or technical field
• Some experience in backend software engineering building and maintaining cloud services
• Legal authorization to work in the UK
• Programming Languages to construct high-throughput backend services using Golang, Python, C, C++, Rust, or Java
• English Proficiency to communicate technical architectures clearly with cross-functional global teams
• Cloud Architecture to deploy and maintain scalable backend microservices within cloud environments (GCP preferred)
• Database Management to handle structured and unstructured data using relational or NoSQL systems
• API Architecture to connect core services using RESTful APIs, WebSockets, or gRPC
• Version Control to manage source code collaboratively using Git workflows
• System Quality & Security to trace, analyze, and resolve technical issues across distributed cloud architectures while upholding software security best practices
• Product Mindset to deliver reliable software experiences that create tangible value for end-users
• Agile Software Delivery to collaborate within iterative sprint cycles and continuous delivery workflows
• Familiarity with or interest in utilizing AI-assisted tools within a modern development workflow
• Understanding of service-oriented architecture (SOA) and building cloud-native products
• Exposure to Machine Learning, Computer Vision, or AI concepts
• Broad architectural curiosity and a desire to develop a well-rounded technical skill set
• Enthusiasm for learning new programming languages (such as Go) on the job