Software Engineer, Platform Engineering (L2)
Twilio
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Preparing for this interview
Interviews for engineering roles keep coming back to AWS, Python. Practise those questions before you sit with Twilio.
Questions you are likely to be asked
- Why do you want to join Twilio?
- What is your experience with Kubernetes? Tell me one thing you learned the hard way.
- Tell me about an outage you handled. What did you learn from it?
- How do you decide what to monitor, and what should wake someone up at night?
- How would you cut the cloud bill of a system without hurting it?
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Practise the Software Engineer, Platform Engineering (L2) at Twilio interview free →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 Software Engineer, Platform Engineering (L2)
About the job
This position is an engineering role within Twilio Platform Engineering, suited to an engineer who is building hands-on experience with highly available, large-scale distributed systems.
Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L2 engineer, you will help build and operate backend services at scale, working alongside more senior engineers on our dual-cloud infrastructure spanning Amazon Web Services (AWS) and Microsoft Azure. You'll get hands-on with Kubernetes, contribute to Terraform-based infrastructure automation, and write production code to help keep distributed systems healthy under real production load, using modern AI-assisted tooling to move faster and ramp up your skills.
Responsibilities
In this role, you’ll:
- WEAR THE CUSTOMER'S SHOES: Help design, build, and operate services and automations that support Kubernetes clusters at scale, under the guidance of senior engineers. Work with product management and technical leadership to turn well-scoped tasks into working code.
- BE AN OWNER (CODE QUALITY): Participate in code reviews and follow established patterns and testing standards (unit and integration testing) across the team and platform.
- BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Support cloud configurations across AWS and Azure environments using Infrastructure as Code (Terraform). Help maintain observability coverage, including metrics, alerts, and basic distributed tracing, across core data pipelines.
- CHAMPION ENGINEERING HEALTH: Build awareness of clean architectural practices. Flag technical debt, bugs, and small-scale system issues to your team as you encounter them.
- GROW AND COLLABORATE: Actively seek feedback and mentorship from senior engineers, participate in sprint planning, and share what you learn with peers as you grow into a more senior role.
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:
- Experience: 1-2+ years of professional software engineering experience, including some exposure to building or operating backend services using Kubernetes. Familiarity with basic Kubernetes operations (deployments, pods, services) is expected; deep production-scale cluster-upgrade experience is not required.
- Modern Development Workflow: Practical experience with, or strong desire to learn, AI-assisted development tools (e.g., Claude Code) to help write code, automate testing, and support debugging workflows.
- Deployment Orchestration: Some exposure to GitOps workflows (e.g., ArgoCD) and CI/CD pipelines (e.g., Harness or an equivalent platform); willingness to learn our specific tooling on the job.
- Language Proficiency: Working knowledge of at least one of Shell, Terraform, YAML, or Go (Golang), with a willingness to build proficiency across the rest.
- Cloud Infrastructure: Some experience with cloud environments, ideally basic exposure to AWS core services (such as EC2, S3, EKS) or their Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, AKS). General familiarity with networking concepts (VPC/VNet basics) is a plus.
- Infrastructure as Code: Basic familiarity with Terraform or similar IaC tools.
- Distributed Systems: Foundational understanding of distributed datastores, caching layers, or asynchronous event streaming (e.g., Kafka or similar queuing systems), through coursework, projects, or professional experience.
- Systems Mindset: Solid computer science fundamentals and data structures knowledge, with an eagerness to learn how to build self-healing cloud architectures.
Desired:
- Some exposure to containerized infrastructure (Docker, Kubernetes) in coursework, internships, or professional projects.
- Curiosity about advanced deployment strategies (canary, blue/green); prior hands-on experience not required.
- Interest in policy-as-code tools such as OPA/Gatekeeper.
- Interest in OpenTelemetry or distributed tracing concepts.
- Any exposure to network topology, proxy layers, or mail transfer agent (MTA) protocols.
- Coursework or personal projects involving distributed datastores, caching, or event streaming (e.g., Kafka).
- Interest in multi-cloud environments and a desire to build that experience over time.
Location
This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
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.
Compensation
The estimated pay ranges for this role are as follows:
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- Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.
- $116,960.00 to $146,200.00.
- This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until 10/31/2026, but may change based on business needs.
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.
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