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 :You will be working with a team of software engineers to architect, build, and deploy containerized and/or serverless applications in the cloud to support Razer's ever-growing ecosystem of microservices, data pipelines, and AI workloads. You will be responsible for ensuring your applications are engineered for high-performance, scalability, reliability, cost-effectiveness, and security. You will need to understand and manage the interdependencies of a large microservices environment, from modern, containerized applications, to legacy "LAMP" stacks. You will be a core member for the project to enhance existing single region microservices to be multi-region capable, with replication and synchronization across regions.Essential Roles and ResponsibilitiesDesign, develop, test, and deploy microservice applications on AWS.Architect and drive development of the multi-region enablement project to enhance our existing suite of single region microservices.Develop and take ownership of critical and high-traffic Razer ID APIs microservices under your portfolio.Design and build Web APIs to interface with AI/ML models and integrate them into Razer's Software ecosystemBuild and optimize data pipelines to support AI/ML workflows and analytics.Implement best practices for security, scalability, and maintainability in AWS.Collaborate with cross-functional teams including PD, internal stakeholders, and AI development teams to deliver high-quality solutions.Contribute to code reviews, design reviews, and architecture discussions.Mentor and coach interns and/or junior engineers to improve their technical skills.Stay up-to-date with the latest Cloud, Web, and AI technology and best practices.Drive innovation and technical excellence within the team.Participate in an agile development team (daily standups, fortnightly sprints, requirements grooming, etc).Standby and be available for troubleshooting of production issues if escalated by SRE team.Pre-Requisites :RequirementsBachelor's degree in Computer Engineering, Computer Science, or related field.5+ years of experience in cloud-native software engineering with a focus on container and serverless technology.Proficient programing languages commonly used in the cloud like Golang, PHP, and Python.Strong understanding of RESTful and GraphQL APIs for integrating AI/ML models.Hands-on experience with AWS services such as ECS, S3, RDS, Lambda, API Gateway, ElastiCache, and DynamoDB.Strong understanding of microservices architecture and containerization with Docker and Kubernetes.Familiarity with OAuth 2.0 and OpenID Connect (OIDC) is a plus.Experience with CI/CD tools such as Argo or Jenkins.Strong understanding of software development principles such as Agile and SCRUM.Working knowledge of internet technologies such as load-balancing, caching, and CDNsExcellent problem-solving and analytical skills.Strong communication and collaboration abilities, with a passion for teamwork.Are you game?
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