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Razer

Senior Cloud Systems Administrator

Razer is hiring a Senior Cloud Systems Administrator. Level rates it ; you can apply on Razer.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include AI automation.
  • Level classifies it as a senior role.
  • Level lists 148 other open roles at Razer.

AI in this role

ai-automation

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

As a Senior Test Automation Engineer, you will be responsible for designing, developing, and implementing automated test frameworks to ensure the quality and reliability of software applications. You will collaborate with cross-functional teams to identify test requirements, create automation strategies, and enhance continuous integration and deployment processes. Your role involves maintaining test scripts, analysing results, and driving improvements in automation efficiency while mentoring junior engineers.

Essential Duties and Responsibilities

Cloud Infrastructure Architecture & Operations.

  • Design, implement, and maintain highly available cloud infrastructure supporting high-throughput transaction workloads.

  • Manage core cloud services including compute platforms, container orchestration environments, object storage, managed databases, identity access management, networking, and load balancing.

  • Ensure platform scalability through capacity planning, auto-scaling strategy implementation, and performance optimization.

  • Support multi-zone / multi-region architectures and disaster recovery strategies to meet strict uptime and SLA requirements.

  • Other duties as assigned.

System Reliability & Performance Engineering

  • Monitor infrastructure health, transaction performance, and system utilization to proactively identify operational risks.

  • Troubleshoot production incidents and perform root cause analysis with preventive improvement actions.

  • Optimize compute, storage, network, and database configurations to support high concurrency and low-latency payment processing.

  • Collaborate with DevOps and Engineering teams to improve deployment safety and environment consistency.

Automation & Infrastructure as Code

  • Implement and maintain Infrastructure as Code using tools such as Terraform, Pulumi, or cloud-native provisioning frameworks.

  • Automate provisioning, configuration management, patching, and operational workflows.

  • Integrate infrastructure automation with CI/CD pipelines to enable reliable and repeatable platform deployments.

  • Develop operational tooling and scripts to enhance system observability and response efficiency.

Security, Compliance & Governance

  • Enforce cloud security best practices including identity governance, network segmentation, encryption controls, and secure configuration baselines.

  • Support compliance initiatives aligned with PCI DSS, ISO 27001, and financial regulatory requirements.

  • Participate in vulnerability remediation, security hardening programs, and audit readiness activities.

  • Maintain accurate infrastructure documentation and change management controls.

Cost Optimization & Resource Efficiency

  • Analyze cloud usage patterns and recommend cost optimization strategies while maintaining platform reliability.

  • Implement governance frameworks such as tagging standards, resource lifecycle policies, and capacity reservation planning.

  • Provide visibility into infrastructure cost trends and operational efficiency metrics.

AI-Assisted Cloud Operations & R&D Innovation

  • Leverage AI-powered operational tooling to improve monitoring insights, incident prediction, and anomaly detection.

  • Participate in experimentation on AI use cases including:

  • intelligent log correlation and operational diagnostics

  • predictive workload scaling recommendations

  • Automated runbook generation and incident guidance

  • infrastructure configuration optimization suggestions

  • Cloud cost anomaly detection and optimization insights

  • Collaborate with platform engineering and R&D teams to prototype intelligent automation workflows that improve reliability and operational efficiency.

  • Promote responsible and secure adoption of AI capabilities in infrastructure management practices.

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

  • 3+ years of experience in software testing, with a strong focus on test automation.

  • Proficiency in automation frameworks such as Selenium and PHPUnit

  • Strong programming skills in Java, PHP or C# for test automation.

  • Experience with API testing tools like Postman.

  • Hands-on experience with CI/CD tools (GitLab).

  • Familiarity with version control systems like Git.

  • Knowledge of cloud platforms (AWS) is a plus.

  • Strong problem-solving and analytical skills.

  • Excellent communication and collaboration abilities.

  • Ability to work in an agile environment and adapt to changing requirements.

  • Experience mentoring junior team members is a plus.

Pre-Requisites :

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?

How we rate this

Senior Cloud Systems Administrator at Razer rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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