Principal, Software Engineer (L5)

Twilio
Full-time•Full-stack•Ireland · Remote within Ireland
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At a glance

Employment type
Full-time
Workplace
Remote
Category
Full-stack

Technologies & skills

Primary technologies

Cloud & infrastructure

Other technical skills

What you'll be doing

Principal Software Engineer at Twilio, focused on designing and delivering major components of carrier test and observability platforms, building high-throughput data and alerting systems, and extending production LLM systems for automated carrier troubleshooting. Remote role based in Ireland.

  • Design and deliver major components of carrier test and observability platform
  • Build high-throughput data and alerting systems for operational teams
  • Extend and harden production LLM systems for automated carrier troubleshooting
  • Diagnose cross-boundary failures and establish observability

Key requirements

Must-have

  • 12+ years of software engineering experience, including staff or principal level at large scale
  • Expertise in designing, operating, and debugging distributed systems with high-volume time-series or event data
  • Hands-on experience with LLM-based systems in production
  • Strong proficiency in at least one backend language used at scale (Java, Go, Scala, or similar)
  • Fluency with event streaming and cloud infrastructure (Kafka, AWS, Kubernetes)

Nice-to-have

  • Experience with telecommunications, messaging, or voice systems
  • Experience with active network testing, monitoring, or quality-of-service measurement

Experience: 12+ years

Role signals

Technical focus
distributed systems, observability, LLM production systems
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

Full job description

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

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Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.

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See yourself at Twilio

Join the team as Twilio’s next Principal Software Engineer.

About the job

This position is needed to raise the technical depth of the systems that continuously test, measure, and assure the quality of Twilio's global carrier connections, and the operational platforms that Super Network's operations depend on.

Every call and message Twilio makes crosses a carrier network we don't control. This team is how we know those connections are healthy. We monitor and test them continuously, worldwide, for both voice and messaging reliability, and we build what our operations teams use to act on what we find. Increasingly that means LLM agents troubleshooting carrier problems without a human involved — and that's the part we most want to push further.

Responsibilities

In this role, you’ll:

  • Design and deliver major components of Twilio's carrier test and observability platform, covering active voice and messaging testing, quality scoring, and global test coverage.

  • Build high-throughput data and alerting systems that turn the data into signals operations teams can act on without drowning in noise.

  • Extend and harden our production LLM systems for automated carrier troubleshooting — expanding the classes of issue they resolve without human intervention, and owning the evaluation, observability, and guardrails that make autonomous action safe.

  • Diagnose cross-boundary failures where test results, carrier behavior, and platform telemetry disagree, and establish the observability needed to tell those cases apart.

Qualifications

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:

  • 12+ years of software engineering experience, including significant time at staff or principal level working on systems at large scale.

  • Deep expertise designing, operating, and debugging distributed systems that ingest and process high-volume time-series or event data in production, including alerting, anomaly detection, and failure isolation.

  • Hands-on experience taking LLM-based systems to production and keeping them there: context and tool design, evaluation against real outcomes, cost and latency management, and the guardrails required when model output triggers real actions rather than just producing text.

  • Strong proficiency in at least one backend language used at scale (Java, Go, Scala, or similar) and fluency with event streaming and cloud infrastructure (Kafka, AWS, Kubernetes).

Desired:

  • Experience with telecommunications, messaging, or voice systems

  • Experience with active network testing, monitoring, or quality-of-service measurement.

Location

Travel

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.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.

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Stay alert to recruitment fraud

We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.

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Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the Principal Software Engineer (L5) at Twilio will architect and deliver large-scale distributed systems for carrier test and observability, with a strong focus on production LLM systems, high-throughput data pipelines, and operational reliability.

  • Distributed Systems Expertise·High
  • LLM Production Experience·High
  • Cloud and Event Streaming Proficiency·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Distributed Systems and Observability Projects

    0–8 min

    Select 1-2 significant projects where you designed or operated distributed systems at scale, focusing on challenges and outcomes.

  2. Prepare LLM Productionization Examples

    8–15 min

    Outline your experience taking LLM-based systems to production, including guardrails, evaluation, and operational learnings.

  3. Refresh Knowledge of Kafka, AWS, and Kubernetes

    15–20 min

    Review your hands-on experience with these technologies, especially in the context of high-throughput data and alerting systems.

  4. Research Twilio's Carrier and Observability Platforms

    20–25 min

    Read available resources on Twilio's carrier testing and observability solutions to tailor your examples and questions.

  5. Draft Role-Specific Questions

    25–30 min

    Prepare thoughtful questions about the team's challenges, LLM systems, and success metrics to demonstrate engagement.

Likely questions

, 7 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 5 items
  • Designing and Operating Distributed Systems

    You will need to demonstrate deep experience architecting, scaling, and troubleshooting distributed systems that process high-volume event or time-series data.

  • Productionizing LLM-based Systems

    The role requires hands-on experience deploying, evaluating, and maintaining LLM systems that automate operational tasks, including implementing guardrails and monitoring real-world outcomes.

  • Building High-Throughput Data and Alerting Pipelines

    You should be able to discuss how you've built or improved data pipelines and alerting systems that enable actionable insights without overwhelming operational teams.

  • Cloud Infrastructure and Event Streaming Expertise

    Expect to show fluency with technologies like Kafka, AWS, and Kubernetes, and how you've leveraged them for scalable, reliable systems.

  • Diagnosing Cross-Boundary Failures and Observability

    Be ready to explain your approach to identifying and resolving complex failures where multiple systems interact, and how you establish observability to distinguish root causes.

What to research

, 4 items
  • Twilio's Carrier Test and Observability Platform

    Research Twilio's approach to carrier testing, observability, and operational platforms, focusing on how they ensure global reliability.

  • LLM Production Systems

    Review best practices for deploying, evaluating, and maintaining LLM-based systems, especially those that automate operational tasks.

  • High-Throughput Data Pipelines and Alerting

    Study architectures and techniques for building scalable data pipelines and actionable alerting systems using Kafka, AWS, and Kubernetes.

  • Cross-Boundary Failure Diagnosis and Observability

    Prepare examples of diagnosing complex failures across distributed systems and implementing observability improvements.

Questions to ask

, 6 items
  1. How does the team currently evaluate and improve the effectiveness of its LLM-based troubleshooting systems?

    Why ask this? To understand the maturity of LLM deployment and opportunities for innovation.

  2. What are the biggest challenges the team faces in maintaining global carrier reliability and observability?

    Why ask this? To identify key pain points and where your expertise can have the most impact.

  3. How does Twilio balance automated and human-in-the-loop approaches for carrier issue resolution?

    Why ask this? To gauge the level of automation and expectations for future development.

  4. What is the team's approach to cross-functional collaboration, especially when diagnosing cross-boundary failures?

    Why ask this? To assess the working environment and collaboration expectations.

  5. How are new technologies or architectural changes evaluated and adopted within the team?

    Why ask this? To understand the decision-making process and openness to innovation.

  6. What does success look like for this role in the first 6-12 months?

    Why ask this? To clarify expectations and priorities for the position.

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Apply NowApply before: 30 Oct 2026