Software Engineer

Twilio Twilio · Enterprise · Ireland · Remote · Engineering

Software Engineer role focused on Voice Connectivity Trust team, involving design, implementation, testing, deployment, and operationalization of real-time services with high throughput and low latency. The role requires working with stakeholders, scaling a distributed platform, and figuring out novel ways to solve customer problems for the Voice channel. It emphasizes using AI coding assistants and critically evaluating AI-generated code.

What you'd actually do

  1. Design and implement real-time services with high throughput and low latency requirements, verify, deploy and operationalize them
  2. Work closely with stakeholders to understand customer needs and, devise and deliver, simple, robust and scalable solutions
  3. Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects and cross functional teams
  4. Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity
  5. Figure out novel ways of solving customer problems for the Voice channel

Skills

Required

  • JVM based technologies
  • RESTful services
  • API design
  • event-driven architectures
  • CI/CD pipelines
  • cloud infrastructures
  • AWS
  • GCP
  • OpenStack
  • Azure
  • written communication skills
  • AI prompting
  • technical documentation
  • AI-generated code evaluation
  • Java fundamentals
  • code architecture
  • code review
  • code debugging
  • AI coding assistants
  • Computer Science fundamentals
  • data structures
  • algorithms
  • operating systems
  • distributed systems
  • teamwork

Nice to have

  • on-call rotations
  • incident response
  • monitoring/alerting tools
  • Prometheus
  • Datadog
  • Grafana
  • AI for value delivery
  • scaling data tiers
  • SQL
  • NoSQL database
  • caching technologies
  • scaling production backend systems
  • horizontally-scalable systems
  • resilient systems
  • performance under load
  • SIP protocol
  • Stir/Shaken protocol

What the JD emphasized

  • Minimum 2+ years of hands-on experience in a large scale, distributed applications environment on JVM based technologies
  • Experience building RESTful services, API design and event-driven architectures (Kafka, SQS)
  • Hands on experience with cloud infrastructures such as AWS, GCP, OpenStack or Azure
  • Excellent written communication skills - essential for effective AI prompting and for creating clear technical documentation (with or without AI assistance)
  • Proven ability to critically evaluate AI-generated code for correctness, security, performance, and maintainability
  • Strong Java fundamentals with the ability to architect, review, and debug code whether written by you, teammates, or AI agents
  • Demonstrated proficiency working with AI coding assistants (Claude, GitHub Copilot, Cursor, or similar) - you should be able to describe your workflows and show examples