Software Engineer L3

Twilio is a company shaping the future of communications and empowering developers worldwide. They are seeking a Software Engineer L3 for their Email Platform, responsible for developing and managing large-scale distributed systems, optimizing backend services, and ensuring system reliability.

Responsibilities:

• WEAR THE CUSTOMER’S SHOES: Architect and ship reliable, high-velocity features that handle critical traffic with low end-to-end latency. Partner closely with product management and technical leadership to break down complex system requirements into manageable, iterative milestones
• BE AN OWNER (CODE QUALITY): Drive rigorous code reviews and push for maintainable patterns in our Go codebase, ensuring high testing standards (unit, integration, and component testing) are executed across the team
• BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Manage and enhance cloud configurations across AWS and Azure environments utilizing Infrastructure as Code (Terraform). Ensure deep observability coverage by standardizing metrics, alerts, and distributed tracing across core data pipelines
• CHAMPION ENGINEERING HEALTH: Advocate for a clean architectural foundation. Proactively identify technical debt, system bottlenecks, and single points of failure (SPOF), balancing feature delivery with critical platform refactoring
• MENTOR AND LEAD: Foster a collaborative environment by mentoring junior engineers, leading technical sprint planning, and sharing expertise across distributed engineering nodes

Requirements:

• 4+ years of professional software engineering experience building and operating resilient backend services at scale
• Practical experience leveraging AI-assisted development tools (such as Claude Code) to accelerate code generation, automate testing, and streamline debugging workflows
• Strong, hands-on production experience writing clean, idiomatic, and highly concurrent Go (Golang), Java or Python
• Solid experience deploying and managing production workloads in cloud environments—ideally with deep exposure to AWS core services (such as EC2, S3, Aurora, or DynamoDB) AND Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, Azure SQL, or Cosmos DB)
• Proficiency with Terraform for provision-level automation and maintaining environment parity
• Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming (e.g., Kafka or similar queuing ecosystems)
• 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 database migration pathways (e.g., transitioning traditional on-prem/relational datastores to managed instances like AWS Aurora)
• Experience implementing OpenTelemetry or distributed tracing systems across decoupled microservice platforms
• Direct experience handling constraints related to network topology, proxy layers, or mail transfer agent (MTA) protocols