Software Engineer-Platform Engineering (L3)

• 4+ years of professional software engineering experience building and operating resilient backend services at scale using Kubernetes. Experience with CAPI, EKS and managing zero-downtime Kubernetes cluster upgrades, including node draining, API deprecations, and PodDisruptionBudgets.
• Modern Development Workflow: Practical experience leveraging AI-assisted development tools (e.g., Claude Code) to accelerate code generation, automate testing, and streamline debugging workflows or strong desire to learn.
• Deployment Orchestration: Hands-on Experience implementing GitOps workflows with ArgoCD and automated pipeline orchestration with Harness (or an equivalent enterprise CI/CD platform).

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Strong, hands-on experience with Shell, Terraform, Yaml and Go (Golang).
• Cloud Infrastructure: Solid experience deploying and managing production workloads in cloud environments - ideally with deep exposure to AWS core services (such as EKS, EC2, S3) or their Microsoft Azure equivalents (such as AKS, Virtual Machines, Blob Storage). Understanding of container networking (VPC/VNet, pod IPAM, CNI plugins.
• Infrastructure as Code: Proficiency with Terraform for provision-level automation and maintaining environment parity.
• Distributed Systems: Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming (e.g., Kafka or similar queuing ecosystems).
• Systems Mindset: Strong foundational background in computer science fundamentals, data structures, and building self-healing cloud architectures.
• Prior experience managing high-throughput applications running inside containerized infrastructure (Docker, Kubernetes).
• Familiarity with advanced deployment strategies (canary, blue/green analysis).
• Experience with OPA/Gatekeeper or similar policy-as-code enforcement in Kubernetes.
• Experience implementing OpenTelemetry or distributed tracing systems across decoupled microservice platforms.
• Exposure to network topology, proxy layers, or mail transfer agent (MTA) protocol constraints.
• Aware and practical understanding of distributed datastores, caching layers, and asynchronous event streaming (e.g., Kafka or similar queuing systems).
• Multi-Cloud migration/operating experience.
• but is not eligible to be hired in CA
• WA.
• We prioritize connection and opportunities to build relationships with our customers and each other. For this role
• you may be required to travel occasionally to participate in project or team in-person meetings.