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Work with product owners to develop the product vision and roadmap
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Provide all of the product teams with technical leadership, mentoring, and architectural guidance
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Document and diagram proposed solutions, and ensure documentation and diagrams remain current for all deployments.
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Advise end-to-end development of new features from concept through testing and deployment
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Mentor others in the writing of clean, well-documented, testable OOP code following KISS/SOLID principles
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Mentor others in how to develop cloud-native applications
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Advocate for non-functional requirements like performance, versioning, deployability, configurability, observability, scalability, security, etc.
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Meticulous attention to detail and high quality of work
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Build up and maintain our DevOps/CI environment through research, implementation and monitoring
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Create alerts and data mine logs and metrics for issues in cloud hosted services and the client applications that call to the services
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Ability to design and architect service level componentry
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Spike testing and rapid prototyping
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Excellent verbal and written communication skills
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Excellent knowledge in designing and developing complex, multi-tier, cloud-native software applications
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Advanced knowledge in architecting cloud solutions in GCP or AWS (we are migrating from AWS to GCP)
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Experience with Docker, Docker Compose, and Kubernetes (EKS and/or GKE)
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Advanced experience with automating the provisioning of cloud resources using infrastructure as code (we use Terraform)
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Experience with CI/CD tools such as TeamCity, GitHub Actions, Jenkins, or CircleCI (we use TeamCity and GitHub Actions)
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Experience with monitoring and alerting tools such as DataDog, New Relic, Grafana, Prometheus, and Kibana (we use DataDog and are migrating to Prometheus/Thanos/Grafana for monitoring and ELK stack for logs)
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Experience with a high-level language like C#, Java, JavaScript, or Golang (we use C#, C++, JavaScript, and Python)
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Creating and consuming RESTful web services and experience with 3rd party APIs
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Well-versed in optimizing database queries to NoSQL databases (we use MongoDB)
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Good understanding of design patterns
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Experience leveraging LLMs and operating Agents to assist with tasks and development
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Experience with big data, stream processing and machine learning algorithms
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Experience with geospatial applications & databases
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Working in an agile environment (we use a mix of Scrum and Kanban)
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Experience or knowledge of dependency injection
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Experience with real-time, multiplayer services
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Google Cloud Certification
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Experience with Kubernetes-adjacent tooling like Helm, Kustomize, and ArgoCD
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Understanding of effective unit testing and experience with Visual Studio Tests or NUnit
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Experience creating mock objects using Moq, NSubstitute or other mocking framework
Magnopus unites the physical and digital to create extraordinary experiences.
Key team members

David Cross

Ceri Llewellyn

Dr Sol Rogers 🔜 🇬🇧GT-LA 🇺🇸

Rudy Grossman, MBA
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