Software Engineer L2 - Cloud Infrastructure

Twilio is a communications technology company that provides solutions enabling businesses and developers to create personalized customer experiences. The Software Engineer L2 will evolve and maintain core compute infrastructure by developing scalable cloud-native environments, VM orchestration, auto-scaling systems, hardened machine images, and secure container images. The role also focuses on automation, operational support, infrastructure as code, documentation, and reliability of business-critical systems.

Responsibilities:

• Collaborate with Tech Leaders, Architects and other Engineers to develop solutions for complex problems in distributed computing and infrastructure management
• Automate solutions for operational issues, such as monitoring, performance, planning, and disaster response
• Participate in an on-call rotation to support our business-critical infrastructure
• Ensure a high quality implementation by applying Infrastructure as Code industry standards
• Demonstrate effective communication by authoring and reviewing design documents, runbooks, and other service documentation, and keeping a good record of changes in the systems
• Apply Agile methodologies to continuously deliver value to the customers
• Act as point of contact for legacy/new Compute system components

Requirements:

• 2+ years of experience in AWS Cloud infrastructure management. (preferably backend/infrastructure-focused like AMI, EC2, IAM policies/roles, etc.)
• Strong ASG (Auto Scaling Groups) knowledge, to design, implement, and support scalable cloud-native environments
• Experience with hardened base AMIs and AL23
• Proficiency with one or more programming languages: like Java or Python (includes SW Arch patterns, clean code, debugging, etc)
• Proficient in shell scripting to streamline repetitive tasks and enhance efficiency in operations
• Skills to work independently with multiple global teams, developing, configuring, deploying, and operating the global Twilio Infrastructure Platform, blending operational excellence with development best practices
• Knowledge of container-based application/services
• Knowledge on deployment tools and frameworks like infrastructure as a code and continuous deployment processes (ex: Github, Buildkite, Terraform-TFC, ArgoCD, Harness, Cloud network)
• Operational experience in complex distributed systems, including experience with SLO/SLAs towards high availability and reliability goals, including tools like DataDog or Phometheus
• Exposure to File Integrity Monitoring (FIM) tools, specifically Falco, and awareness of compliance frameworks (PCI, SOX)
• Knowledge in Kubernetes
• Experience with Claude AI or similar