Epicareer Might not Working Properly
Learn More

Senior Software Engineering II

Salary undisclosed

Checking job availability...

Original
Simplified

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 Responsibilities

  • Design, 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 ecosystem
  • Build 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.

Requirements

  • Bachelor's degree in Electrical/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 Python, PHP, and Golang.
  • Deep expertise in designing and implementing RESTful and gRPC APIs for seamless integration with AI/ML models.
  • Development 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 declarative infra-as-code like Kubernetes YAML or Terraform.
  • 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 CDNs
  • Excellent problem-solving and analytical skills.

Strong communication and collaboration skills.

Pre-Requisites :

Are you game?