Software Engineer (L3) Email

Twilio

5d•$138,700 - $203,900•Remote

About The Position

Twilio is hiring a Software Engineer (L3) for Twilio SendGrid. This hands-on engineering role focuses on developing, deploying, and managing highly available, large-scale distributed systems. The services process more than 12 billion emails during peak events, and the engineer will help scale and modernize backend systems, optimize Go-based microservices, and contribute to the reliability of infrastructure spanning Amazon Web Services (AWS) and Microsoft Azure. The role is remote, though occasional in-person team, project, or customer meetings may be required. Hiring is not available in California, Connecticut, New Jersey, New York, Pennsylvania, or Washington. Occasional travel may be required. Twilio describes its culture as remote-first and globally inclusive. Twilio offers competitive pay, generous time off, parental and wellness leave, healthcare, and a retirement savings program. Depending on location, this role may also be eligible for Twilio’s equity plan and corporate bonus plan. Applications are intended to be accepted until December 31, 2026, though this may change based on business needs.

Requirements

At least 4 years of professional software engineering experience building and operating resilient backend services at scale.
Practical experience using AI-assisted development tools, such as Claude Code, to accelerate code generation, automate testing, and streamline debugging.
Strong hands-on production experience writing clean, idiomatic, highly concurrent Go, Java, or Python.
Experience deploying and managing production workloads in cloud environments; ideally, deep exposure to both AWS core services and Microsoft Azure equivalents.
Proficiency with Terraform for infrastructure provisioning automation and maintaining environment parity.
Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming such as Kafka or similar queuing systems.
Strong computer science fundamentals, including data structures, and experience building self-healing cloud architectures.

Nice To Haves

Experience managing high-throughput applications in containerized infrastructure such as Docker or Kubernetes.
Familiarity with database migration pathways, including transitioning on-premises or relational datastores to managed services such as AWS Aurora.
Experience implementing OpenTelemetry or distributed tracing across decoupled microservice platforms.
Direct experience handling network topology, proxy layers, or mail transfer agent (MTA) protocol constraints.

Responsibilities

Architect and deliver reliable, high-velocity features that support critical traffic with low end-to-end latency.
Partner with product management and technical leadership to break complex system requirements into iterative milestones.
Drive rigorous code reviews and promote maintainable patterns in the Go codebase.
Ensure high testing standards across unit, integration, and component testing.
Manage and enhance AWS and Azure cloud configurations using Terraform.
Standardize metrics, alerts, and distributed tracing across core data pipelines.
Identify technical debt, system bottlenecks, and single points of failure, and balance feature delivery with platform refactoring.
Mentor junior engineers, lead technical sprint planning, and share expertise across distributed engineering teams.