Responsibilities
- Define and implement efficient, secure, and cost-effective methods for operating microservices
- Work with teams across disciplines to assess and address scalability needs of the platform
- Establish and deploy monitoring standards using Datadog, including service level indicators, objectives, and agreements
- Investigate and build enhancements for services and storage using serverless architectures
- Optimize services and CI/CD pipelines to improve scalability, cost, and performance
- Build and support internal tools for monitoring, developer self-service, and load testing
- Guide and upskill software teams in DevOps practices through training and reusable components
- Keep current with emerging trends and innovations in scalability and performance engineering
- Create and enforce auto-scaling strategies for infrastructure
Work Arrangement
Hybrid
Responsibilities
- Shape the way how Scalable runs microservices in the most performant, secure and cost efficient way
- Collaborate with cross-functional teams to identify and understand scalability requirements for our platform
- Design and rollout Monitoring best practices in Datadog including SLI, SLO and SLAs
- Research and develop service and storage improvements by using serverless technologies and optimise our services and CICD to optimise scalability, cost and performance
- Develop and maintain internal tooling around Monitoring, Developer Portal and Load Testing
- Mentor and enable our software development teams to further foster our DevOps culture by educating them and providing reusable and unified building blocks which can be used to improve scalability, reliability and performance of existing and new services
- Stay up-to-date with the latest industry trends, tools, and techniques related to scalability and performance engineering
- Design and implement best practices around auto scaling of our infrastructure
- Run chaos engineering experiments to improve resilience of our services
