Software Engineer L2 responsible for evolving and maintaining Twilio's Compute infrastructure, including VM orchestration, AWS Auto Scaling Groups, hardened AMIs, secure container images, and automation of operational tasks in a remote-first environment.
117k – 172k
Remote2+ YOEDevOps / SRE
About the role
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.
Author and review design documents, runbooks, and other service documentation; maintain records 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 knowledge of ASG (Auto Scaling Groups) to design, implement, and support scalable cloud-native environments.
Experience with hardened base AMIs and AL23.
Proficiency with one or more programming languages such as Java or Python (including software architecture 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-Haves
Knowledge of deployment tools and frameworks like infrastructure as code and continuous deployment processes (e.g. 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 Prometheus.
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.
Compensation
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $116,960 - $146,200
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $123,760 - $154,700
Based in the San Francisco Bay area, California: $137,520 - $171,900
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan.
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