Software Engineer L2 - Cloud Infrastructure

This position is needed to evolve and maintain fundamental Compute infrastructure, collaborating with a passionate team to enhance the system capabilities. Key responsibilities include develop scalable cloud-native environments, VM orchestration, AWS-ASG Auto Scaling group of EC2 instances, hardened base AMIs, and secure container images while maintaining critical OS libraries. You'll implement solutions for providing robust legacy platform support and cutting-edge cloud-native technologies, all driven by automation and best practices.

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.

Nice to have

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.