iLottery TechOps Engineer
Scientific Games :
Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.
Position Summary
Job Description
SG Lottery is seeking a TechOps Engineer to join a growing Technical Operations team supporting our player loyalty and iLottery platforms. This role is ideal for an engineer passionate about cloud-native infrastructure, Kubernetes operations, GitOps-driven CI/CD pipelines, observability, and platform reliability engineering.
The Technical Operations team works closely with Infrastructure, Development, QA, and DevOps teams to ensure the reliability, scalability, security, and performance of mission-critical gaming platforms. The successful candidate will support both operational production environments and strategic platform initiatives, including new product releases, infrastructure modernization, customer implementations, and platform automation.
This role will focus heavily on Kubernetes-based environments across both on-premises and cloud infrastructure, leveraging GitOps methodologies, containerization, and observability tooling to improve operational excellence and deployment efficiency.
Responsibilities
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Support deployment, maintenance, and operational excellence of customer-facing iLottery and loyalty platforms.
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Design, implement, and maintain GitOps-driven CI/CD pipelines using tools such as ArgoCD and related automation frameworks.
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Administer and support Kubernetes environments across both on-premises and cloud-based infrastructure.
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Manage and troubleshoot containerized workloads and supporting platform services.
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Monitor, triage, troubleshoot, and resolve issues related to system availability, latency, scalability, and application performance.
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Implement and maintain observability solutions utilizing Graylog, New Relic, and related monitoring/logging platforms.
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Define, refine, and track Service Level Objectives (SLOs), operational metrics, and platform health indicators.
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Support infrastructure automation and configuration management initiatives.
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Ensure system capacity, resiliency, and disaster recovery considerations are incorporated into operational planning.
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Identify and remediate infrastructure and application security concerns.
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Collaborate with development teams to improve deployment reliability, release processes, and operational readiness.
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Ensure incidents and service requests are addressed within established SLAs.
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Maintain accurate operational documentation, runbooks, and knowledge base articles.
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Participate in a 24x7x365 on-call rotation supporting production systems.
Qualifications
Qualifications
We are primarily seeking strong platform and operations engineers who can demonstrate experience in modern cloud-native infrastructure and automation practices, including:
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3+ years of Linux system administration experience in highly available production environments.
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Strong experience supporting Ubuntu Linux systems, including administration, diagnostics, performance tuning, and automation.
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Hands-on experience administering Kubernetes clusters in both on-premises and cloud environments.
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Experience implementing and supporting GitOps workflows and CI/CD pipelines using ArgoCD and related tooling.
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Experience with containerization technologies including Docker and Kubernetes.
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Experience with observability and monitoring platforms such as Graylog, New Relic, ELK, Prometheus, Grafana, or similar tools.
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Experi