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Principal Engineer

Job in Las Vegas, Clark County, Nevada, 89105, USA
Listing for: GamblingCareers.com
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    Cloud Engineer - Software, AI Engineer (Applied/Software), DevOps, Software Architect
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Aristocrat is a world leader in gaming entertainment, offering a diverse range of products and services, including electronic gaming machines, social gaming and casino management systems. We're licensed in 240 gaming jurisdictions and operate in 90 countries around the world, with a team of over 3000 employees who deliver outstanding results by pushing the boundaries of innovation, creativity and technology. Since our humble beginnings in 1953, we've been driven by a desire to create the world’s greatest gaming experience, every day.

Summary

We are seeking an experienced Principal Engineer with expertise in Software Development, System Invent, Integration, Security, Cloud Technologies, and AI-enabled solutions, with technology proficiency in .NET, C#, Docker, Kubernetes, C++, and other skills required to develop enterprise applications. The ideal candidate will have experience integrating AI capabilities into production and development systems. This covers API-based model usage, agentic AI patterns, and AI-assisted features with proper validation, monitoring, and guardrails.

Additionally, experience with cloud-based deployments, automated infrastructure management, and modern Dev Ops practices is necessary. The candidate will build and lead product development that matches Aristocrat’s strategic product roadmap. Attention will be on implementation, scalability, reliability, and guidelines. This role will interact with our Product Owners and development teams directly to lead the implementation of solutions that improve product performance, quality, processes, and standards.

As a Senior Software Architect, you will be responsible for ensuring that designs are aligned with the system’s technical roadmap while supporting secure, scalable cloud architectures and operational excellence. You will mentor and guide Associate Software Architects, Sr. and non-Sr. Software Engineers.

What You'll Do
  • You will participate in defining technical product requirements and high-level architectural specifications, ensuring feasibility, functionality and integration with existing systems/platforms.
  • Produce and ensure quality code artifacts.
  • Ensure quality code is checked in to avoid broken builds that can cause delays to the team.
  • Participate in scrum processes like estimating, grooming, standups, code reviews, test case reviews etc.
  • Supports the development of strategy, frameworks, and standard processes and patterns for the development organization.
  • Design and implement cloud-native deployment strategies, infrastructure automation, and CI/CD processes that support scalable, reliable, and secure enterprise application
  • Design and integrate agentic AI solutions that can autonomously plan, coordinate multi-step workflows, and take actions across systems while operating within defined business rules, validation controls, and security guardrails.
  • Identify and fix code level problems quickly and efficiently
  • Performs other duties as assigned.
  • Work with teams in other geographic locations. This includes being flexible with hours to accommodate other time zones.
What We're Looking For
  • We need a strong candidate that can fulfill most of the items listed below:
  • C# (8+ years)
  • .net Core (3+ years)
  • (5+ years)
  • GRPC (2+ years)
  • REST APIs (3+ years)
  • OAUTH/OIDC (5+ years)
  • Blazor (2+ years)
  • Containerization - Docker/K8S (3+ years)
  • C++ (5+ years)
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
  • Experience implementing AI-powered developer productivity solutions and engineering workflows.
  • Experience deploying containerized AI workloads using Docker and Kubernetes.
  • Understanding of AI security, observability, model monitoring, prompt management, and responsible AI practices.
  • Build server administration and deployment…
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