Twilio needs to provide product teams with a safe, secure, and automated path to production by focusing on progressive rollout strategies and robust guardrails, ensuring that software engineers can deploy frequently without compromising on stability or security. The team is building a new unified deployment orchestrator to support automated deployments across environments and regions while consolidating and modernizing existing solutions.
Requirements
- Proficiency in any/all of the following programming languages: Go, Java, Python, Terraform, YAML, Bash
- Experience with Kubernetes GitOps deployments, including Argo CD, Argo Rollouts, and Argo Workflows
- Experience developing in an AWS cloud environment, with a focus on EC2, EKS, ASG, Aurora, and IAM
- Experience with SaaS and open source observability tools, such as Datadog, Grafana, and Prometheus
- Familiarity with SaaS CI/CD tooling including but not limited to Harness, Buildkite, and Terraform Cloud
- Fluency with AI platforms such as Claude, ChatGPT, and/or Copilot to accelerate software development
Responsibilities
- Develop, test, and deploy code and configuration to support internal deployment tooling infrastructure
- Write tickets, spikes, and runbooks for the team, as well as internal product documentation for Twilio
- Operationalize Harness as a unified deployment platform, supporting standardized pipeline templates
- Own and operate a mix of industry standard and Twilio bespoke deployment orchestration tooling
- Support product engineering teams with migrations and debugging of deployment pipeline failures
- Ensure system uptime by participating in a 24x7 weekly oncall rotation alongside the rest of the team
Other
- 2+ years of full-time job experience in a software engineering role on a platform engineering team
- Ability to work in an async software development environment leveraging GitHub, Jira, Slack, and Zoom
- May be required to travel occasionally to participate in project or team in-person meetings.
- The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
- Applications for this role are intended to be accepted until Oct 21st 2025, but may change based on business needs.
