Software Engineer, L3

Twilio

Twilio software engineer building resilient Kubernetes services and dual-cloud infrastructure. Operating massive-scale email systems across AWS and Azure with Terraform and observability.

Posted 8/4/2026full-timeRemote • California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Pennsylvania, Vermont, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $138,700 - $203,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and managing resilient backend services at scale using Kubernetes, Terraform, and cloud environments like AWS and Azure. Proficient in automating infrastructure, implementing CI/CD pipelines, and ensuring system reliability through effective testing and monitoring practices.

Highest-signal resume keywords

Kubernetes ManagementTerraform AutomationAWS Cloud ServicesCI/CD Pipeline OrchestrationDistributed Systems Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesTerraformGo (Golang)Shell ScriptingYAMLAWS EKSAzure AKSGitOps WorkflowsDistributed DatastoresOpenTelemetry

Soft Skills

MentoringTechnical LeadershipCollaboration

Tools & Technologies

ArgoCDHarnessKafkaDockerOPA/Gatekeeper

Industry Keywords

Multi-Cloud MigrationCloud InfrastructureDistributed TracingContainer NetworkingHigh-Throughput Applications

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerEC2GoKafkaKubernetesNode.jsTerraform

About the role

Key responsibilities & impact

Develop, deploy, and manage highly available, massive-scale distributed systems
Build and operate resilient backend services at scale
Contribute to the design and reliability of dual-cloud infrastructure across AWS and Microsoft Azure
Operate Kubernetes beyond managed-service boundaries
Automate infrastructure with Terraform
Write production code to keep distributed systems healthy under real production load
Design, build, and operate services and automations for Kubernetes clusters at scale
Partner with product management and technical leadership to break complex requirements into iterative milestones
Drive code reviews and maintainable coding patterns
Ensure unit, integration, and component testing standards
Manage and enhance AWS and Azure cloud configurations using Terraform
Standardize metrics, alerts, and distributed tracing across core data pipelines
Identify technical debt, bottlenecks, and single points of failure
Balance feature delivery with platform refactoring
Mentor junior engineers
Lead technical sprint planning and share expertise across distributed engineering nodes

Requirements

What you’ll need

4+ years of professional software engineering experience building and operating resilient backend services at scale using Kubernetes
Experience with CAPI, EKS, and zero-downtime Kubernetes cluster upgrades, including node draining, API deprecations, and PodDisruptionBudgets
Practical experience with AI-assisted development tools such as Claude Code, or strong desire to learn
Hands-on experience implementing GitOps workflows with ArgoCD
Automated pipeline orchestration experience with Harness or an equivalent enterprise CI/CD platform
Strong hands-on experience with Shell, Terraform, YAML, and Go (Golang)
Experience deploying and managing production workloads in cloud environments
Deep exposure to AWS core services such as EKS, EC2, and S3, or Microsoft Azure equivalents such as AKS, Virtual Machines, and Blob Storage
Understanding of container networking, including VPC/VNet, pod IPAM, and CNI plugins
Proficiency with Terraform for provision-level automation and environment parity
Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming such as Kafka
Strong foundation in computer science fundamentals, data structures, and self-healing cloud architectures
Prior experience with high-throughput applications in Docker/Kubernetes infrastructure
Familiarity with canary and blue/green deployment strategies
Experience with OPA/Gatekeeper or similar Kubernetes policy-as-code enforcement
Experience implementing OpenTelemetry or distributed tracing systems
Exposure to network topology, proxy layers, or mail transfer agent protocol constraints
Multi-cloud migration or operating experience

Benefits

Comp & perks

Competitive pay
Generous time off
Ample parental and wellness leave
Healthcare
Retirement savings program
Equity plan eligibility
Corporate bonus plan eligibility
Health care insurance
401(k) retirement account
Paid sick time
Paid personal time off
Paid parental leave
Volunteering and donation support