Senior AIOps Engineer

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.

• Design and implement intelligent automation solutions to improve operational efficiency and reduce repetitive infrastructure and application support tasks.

• Develop tools and pipelines for automated incident triage, alert enrichment, and operational diagnostics.

• Integrate AI/ML capabilities into monitoring, logging, and event management platforms.

• Improve signal-to-noise ratio by optimizing alerting strategies and anomaly detection mechanisms.

• Other duties as assigned.

• Enhance monitoring frameworks covering infrastructure, applications, transaction flows, and distributed system dependencies.

• Build intelligent dashboards and predictive insights to support proactive reliability management.

• Analyze large-scale operational datasets including logs, metrics, traces, and transaction telemetry.

• Define and track SLIs, SLOs, and reliability indicators for critical payment services.

• Implement predictive models and heuristics to identify early indicators of system degradation or failure.

• Collaborate with SRE and platform teams to automate remediation workflows and self-healing mechanisms.

• Reduce Mean Time to Detect (MTTD) and Mean Time to Recover (MTTR) through intelligent automation and operational playbooks.

• Contribute to resilience engineering initiatives including chaos testing and reliability simulations.

• Develop analytics to forecast workload growth, capacity requirements, and scaling thresholds.

• Provide recommendations for infrastructure tuning, cost efficiency, and performance optimization.

• Support engineering teams in identifying performance bottlenecks across compute, database, messaging, and network layers.

• Ensure AI-driven operational tooling aligns with secure engineering practices and regulated environment requirements.

• Support audit readiness through improved operational visibility and traceability.

• Contribute to anomaly detection use cases related to infrastructure misuse or unusual operational patterns.

• Evaluate emerging AIOps tools, frameworks, and techniques for suitability in high-availability payment environments.

• Prototype intelligent operational capabilities such as:

  • predictive incident correlation

  • automated runbook execution

  • intelligent deployment risk analysis

  • log summarization and pattern clustering

  • transaction degradation early-warning signals

• Promote responsible AI adoption and knowledge sharing across engineering teams.

• Bachelor’s Degree in Computer Science, Engineering, Data Science, or related field.

• Minimum 5 years experience in DevOps, SRE, Platform Engineering, or Operational Analytics roles.

• Strong understanding of distributed systems, cloud infrastructure, and reliability engineering principles.

• Experience working with monitoring and observability platforms.

• Familiarity with scripting or programming languages such as Python, Go, or Bash.

• Experience analyzing operational data such as logs, metrics, or event streams.

• Strong troubleshooting, analytical, and problem-solving skills.

• Experience in Payment Gateway, FinTech, Banking, or high-transaction systems.

• Exposure to cloud platforms such as AWS, GCP, or Azure.

• Experience with container platforms and orchestration environments.

• Familiarity with messaging systems or event streaming architectures.

• Knowledge of AI/ML tooling for anomaly detection, pattern recognition, or predictive analytics.

• Experience supporting regulated environments such as PCI DSS.

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.