Staff Platform Engineer

About the role

At IGT, you will be responsible for designing and evolving platform architectures that improve developer productivity and operational efficiency. Your work will focus on building internal developer platform capabilities and implementing cloud-native solutions using technologies like Kubernetes and AWS.

You will collaborate with engineering teams to establish scalable deployment patterns and drive infrastructure automation. Success in this role means enhancing the developer experience and ensuring the reliability and security of the platforms you manage.

Skills that matter here

• Kubernetes: This role requires deep expertise in Kubernetes to architect and implement cloud-native solutions.
• AWS: AWS experience is essential for driving infrastructure automation and cloud service integration.
• Terraform: Terraform will be used for infrastructure as code and to establish automated deployment patterns.
• Ansible: Ansible will support the automation of infrastructure management and deployment processes.
• Python: Strong scripting skills in Python are necessary for building reusable automation and platform services.
• GitHub: GitHub is crucial for source control and CI/CD pipeline management.

Who this role suits

• Candidates with over 10 years of experience in distributed systems and cloud platforms will thrive.
• Individuals who are strong communicators and can simplify complex technical concepts for diverse audiences will excel.
• Those who enjoy mentoring and collaborating with engineering teams will find this environment rewarding.
• A background in DevOps or Site Reliability Engineering will align well with the responsibilities of this role.

From the employer

• Design and evolve platform architectures that improve developer productivity, reliability, security, and operational efficiency.
• Build and maintain Internal Developer Platform (IDP) capabilities, reusable platform services, golden paths, and self-service engineering workflows.
• Architect and implement cloud-native solutions using Kubernetes, GitOps, Infrastructure as Code, and modern software delivery practices.
• Own the design, governance, implementation, and evolution of SDLC platforms and tooling, including source control, CI/CD pipelines, artifact management, deployment automation, security validation, and developer workflows.
• Establish scalable deployment patterns using Argo CD, Helm, CI/CD pipelines, and automated release processes.
• Drive infrastructure automation using Terraform, Ansible, and AWS cloud services.
• Define and implement platform standards for observability, security, governance, and operational excellence.
• Evaluate architectural trade-offs involving scalability, reliability, performance, maintainability, developer experience, and cost.
• Produce reference implementations, reusable tooling, and automation that accelerate adoption across engineering teams.
• Troubleshoot, document, and communicate complex platform and infrastructure challenges and drive long-term improvements.
• Mentor engineers and influence technical direction through collaboration, expertise, and hands-on execution.

• 10+ years of experience designing, building, and operating distributed systems, cloud platforms, DevOps, Site Reliability Engineering, Platform Engineering, or related disciplines.
• Deep expertise with Kubernetes, AWS, Infrastructure as Code, and modern software delivery platforms.
• Strong experience with Terraform, Ansible, Argo CD, Helm, GitHub, Jenkins, and GitOps-based deployment models.
• Experience designing and operating large-scale distributed systems and cloud-native platforms.
• Strong networking fundamentals including DNS, TLS, ingress, load balancing, and cloud networking.
• Experience building reusable automation, platform services, and developer enablement solutions.
• Strong scripting and automation skills using Python, Bash, PowerShell, or similar languages.
• Demonstrated ability to make architecture decisions and balance technical trade-offs.
• Excellent communication skills with the ability to translate complex technical concepts for different audiences.