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klaviyo
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SeniorГибридПолная занятость

Senior Software Engineer, Asynchronous Processing

Оценка ИИ

Отличная вакансия в технологически продвинутой компании с прозрачным диапазоном зарплаты и современным стеком. Высокий балл за фокус на платформенную разработку и поддержку релокации.


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Сложность вакансии

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Оценка ИИ

Роль требует глубоких знаний в области распределенных систем и опыта работы с высоконагруженными очередями сообщений (Pulsar, Kafka). Ожидается уровень Senior с навыками проектирования сложных платформ и готовностью к on-call дежурствам.

Анализ зарплаты

Медиана175 000 $
Рынок150 000 $ – 230 000 $
Оценка ИИ

Предложенная зарплата ($148k - $222k) полностью соответствует и даже немного превышает рыночные показатели для Senior Software Engineer в Бостоне, где медиана составляет около $175k. Верхняя граница диапазона конкурентоспособна даже по меркам Tier-1 компаний.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Software Engineer position within the Asynchronous Processing team at Klaviyo. With over 6 years of experience in building high-scale distributed systems and a deep focus on event-driven architectures, I am excited by the opportunity to contribute to the evolution of Klaviyo’s messaging backbone. My background in architecting resilient platforms using Python, Go, and Kubernetes aligns perfectly with your team's mission to provide self-service, high-performance queueing solutions.

In my previous roles, I have extensively worked with Apache Kafka and SQS to handle millions of messages per second, ensuring low latency and high availability. I am particularly impressed by Klaviyo's commitment to using Apache Pulsar and your focus on creating 'paved-path' primitives for other engineering teams. I am confident that my expertise in infrastructure-as-code with Terraform and my experience in mentoring junior engineers will allow me to make a significant impact on your platform's reliability and developer experience.

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Откликнитесь в klaviyo уже сейчас

Присоединяйтесь к команде Klaviyo, чтобы создавать масштабируемую инфраструктуру обмена сообщениями, которая станет фундаментом для тысяч инженеров!

Описание вакансии

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.

Team Overview:

The mission of the Asynchronous Processing team is to design, build, and operate Klaviyo’s high-scale, event-driven backbone so that every product team can reliably move data through our systems with confidence, no matter the volume. By providing opinionated, self-service platforms for queueing and background processing–grounded in technologies like Golang, Python, Apache Pulsar, Kafka, SQS, AWS, and Kubernetes–we enable engineering teams to focus on customer impact while we ensure their workloads are fast, observable, cost-efficient, and resilient by default.

As a Senior Platform Engineer on the Asynchronous Processing team, you will architect, build, and operate the large-scale, event-driven backbone that powers Klaviyo, crafting paved-path primitives on top of Golang, Python, Apache Pulsar, Kafka, and SQS running in AWS and Kubernetes. You’ll design and evolve resilient, multi-tenant queueing and processing platforms that safely handle massive spikes in traffic, process millions of messages per second with low latency, and provide simple, self-service APIs and tooling that enable product teams to move fast and with confidence. From core data models and routing patterns to observability, autoscaling, and failure isolation, you’ll own systems that must be rock solid at scale, partnering closely with engineers across the company to turn complex distributed-systems problems into intuitive, reliable building blocks.

This role is for senior engineers who love taming large-scale distributed systems and turning real-world asynchronous workloads into reliable, scalable platforms. You’ll work on highly visible infrastructure at the heart of Klaviyo’s event-driven backbone, directly shaping how thousands of Klaviyos build, ship, and operate products every day.

How You’ll Make an Impact:

The Asynchronous Processing team builds and operates Klaviyo’s high-scale, event-driven backbone that powers reliable, low-latency async workloads for every product team. As a Senior Platform Engineer on the Asynchronous Processing team, you will:

  • Build a deep understanding of engineering needs across the organization, guiding the design and development of appropriate platform primitives in queueing that align with the platform's vision and practically empower product teams.
  • Design, develop, and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo's asynchronous and queueing services.
  • Design and develop systems and processes that enable highly available & scalable systems, with a focus on asynchronous processing.
  • Leverage technology such as Python, Golang, AWS, and Kubernetes to advance Klaviyo's platform, with a deep focus on Apache Pulsar, SQS, and Kafka.
  • Champion best practices by actively collaborating with other teams in a culture that values technical design review.
  • Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing systems, configuration as code, and defensive programming.
  • Participate in periodic on-call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue.

Who You Are:

  • You are passionate about building software effectively and for the long term, balancing technical quality, velocity, and business impact.
  • BA or BS Degree in Computer Science, related field, or equivalent experience.
  • You typically bring 6+ years of hands-on software development experience building and operating highly available, full-stack SaaS products at scale, or have demonstrated equivalent proficiency and impact.
  • You are independently responsible for the full lifecycle of complex projects or features, including discovery, technical design, implementation, rollout, and ongoing maintenance. You provide clear technical direction for others involved.
  • You own the operational health of the systems you build, including performance, reliability, and observability. You are comfortable defining and upholding SLOs, participating in on-call, and driving follow-through on incidents and RCAs.
  • Familiarity with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerized environments (Kubernetes), including how to design services that run reliably at scale in those environments.
  • Expertise and hands-on experience with asynchronous processing and queueing systems like SQS, Kafka, or Apache Pulsar.
  • Ability to handle yourself and complex systems in outage situations and to drive failures to root cause analysis and prevention of future issues.
  • You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
  • You question convention and proactively look for ways to improve, whether that’s workflows, architecture, tooling, or team processes. You are intrinsically motivated to drive incremental and step-change improvements that deliver value to the business.
  • You are an excellent communicator and collaborator. You lead technical discussions at the project and product-area level, write clear technical design documents and RFCs, and keep stakeholders aligned on progress, risks, and trade-offs.
  • You mentor and support other engineers, offering thoughtful feedback in design and code reviews, helping refine specifications, and investing in the growth of more junior engineers on the team.
  • You enjoy working on small, autonomous, agile teams, shipping early and often, pairing with product managers, business stakeholders, and other engineers to craft better software.

Nice to Have:

  • Fundamental understanding of Linux and all layers of the networking stack; you should be confident administering and debugging production Linux systems.
  • Practical experience building high availability systems at scale with Apache Pulsar.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

  • Python / Django / FastAPI / GoLang
  • Protobuf
  • Apache Pulsar / Apache Kafka / SQS
  • AWS / Terraform / Kubernetes / Argo / Istio / Kong

Location & Work Model:

This role is based in Boston, Massachusetts and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Massachusetts Applicants:It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.

In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.

Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.

Base Pay Range For US Locations:

$148,000—$222,000 USD

Get to Know Klaviyo

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.

By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.

By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice.  If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.You can find our Job Applicant Privacy Noticehere and here (FR).

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Навыки

  • Python
  • Go
  • Apache Pulsar
  • Apache Kafka
  • Amazon SQS
  • AWS
  • Kubernetes
  • Terraform
  • Django
  • FastAPI
  • Protocol Buffers
  • Argo CD
  • Istio
  • Kong
  • Linux

Возможные вопросы на собеседовании

Позиция сфокусирована на асинхронной обработке, поэтому важно понимать внутреннее устройство используемых инструментов.

В чем ключевые архитектурные различия между Apache Pulsar и Apache Kafka, и в каких сценариях вы бы предпочли Pulsar?

Команда строит платформу для других инженеров, поэтому важна отказоустойчивость.

Как бы вы спроектировали систему обработки очередей, чтобы обеспечить изоляцию клиентов (multi-tenancy) и предотвратить влияние 'noisy neighbor'?

Вакансия предполагает работу с Kubernetes и облачной инфраструктурой.

Опишите ваш опыт масштабирования потребителей (consumers) в Kubernetes на основе метрик очереди. С какими проблемами вы сталкивались?

Senior-инженер должен уметь справляться с инцидентами.

Расскажите о самом сложном сбое в распределенной системе, с которым вы столкнулись. Как вы проводили Root Cause Analysis (RCA)?

Вакансия упоминает использование AI в работе.

Как вы используете инструменты ИИ для повышения эффективности разработки или оптимизации облачной инфраструктуры?

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klaviyo
Страна
США
Зарплата
148 000 $ – 222 000 $