- Страна
- США
- Зарплата
- 116 000 $ – 174 000 $
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Software Engineer II, Data Automation
Сильная инженерная культура, современный стек технологий (Kubernetes, Kafka, Flink) и прозрачный диапазон зарплаты. Компания активно растет и поощряет использование инноваций, включая AI.
Сложность вакансии
Роль требует уверенных знаний в области распределенных систем и инфраструктуры как кода (Terraform). Высокая планка ожидается в вопросах масштабирования данных и работы с облачными сервисами AWS.
Анализ зарплаты
Предложенный диапазон $116k–$174k полностью соответствует рыночным стандартам Бостона для уровня Software Engineer II. Верхняя граница диапазона является весьма конкурентоспособной для специалистов с опытом в Data Infrastructure.
Сопроводительное письмо
I am writing to express my interest in the Software Engineer II position within the Data Automation team at Klaviyo. With a strong background in building scalable infrastructure and a passion for automating complex data workflows, I am drawn to Klaviyo’s mission of empowering creators through accessible first-party data. My experience with Python and AWS aligns well with your tech stack, and I am particularly excited about the opportunity to work with technologies like Terraform, Kubernetes, and Clickhouse to enhance platform reliability.
In my previous roles, I have focused on designing systems that bridge the gap between infrastructure and application development. I am impressed by Klaviyo's engineering culture and your commitment to tackling tough problems at massive scale. I am eager to bring my problem-solving skills and my proactive approach to exploring AI-driven workflows to your team, helping to build the tooling that powers mission-critical analytics for thousands of brands.
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Откликнитесь в klaviyo уже сейчас
Присоединяйтесь к Klaviyo, чтобы создавать инструменты автоматизации данных нового поколения и масштабировать инфраструктуру на базе AWS!
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.
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 love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.
Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.
Responsibilities
The Data Automation team builds tooling that helps our Data Platform engineers provision and test infrastructure to power core Klaviyo functionality and generate data-driven insights. As an engineer on this team, you will be responsible for designing, building, and maintaining systems that help us operate our mission critical analytics infrastructure. You will work with a cross functional team to help design systems, create infrastructure, write high quality code, and operate large scale systems in a production environment.
Team Tech Stack
- AWS
- Python
- Terraform
- Kubernetes
- Clickhouse
- DynamoDB
- MySQL
- Kafka
- Spark
- Flink
- Iceberg
- Airflow
Required Skills
- Degree or equivalent experience in a software engineering discipline
- Proficient in using at least one modern programming language
- Able to communicate well
- Able to work with others on a team
- Able to learn continuously and adapt to a high growth environment
- Able to stick with and solve difficult problems
- 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.
Preferred Skills
- Experience designing, building, and operating distributed systems in a cloud computing environment
- Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool
- Experience performance tuning and scaling systems
- Experience with OLTP and OLAP databases
- Experience with high volume data processing and storage systems
- Experience using Linux operating systems
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:
$116,000—$174,000 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
- AWS
- Terraform
- Kubernetes
- ClickHouse
- DynamoDB
- MySQL
- Kafka
- Apache Spark
- Apache Flink
- Apache Iceberg
- Apache Airflow
- Linux
- Distributed Systems
Возможные вопросы на собеседовании
Команда Data Automation занимается инструментами для инженеров платформы данных. Важно понимать опыт кандидата в автоматизации рутинных задач.
Расскажите о самом сложном инструменте автоматизации инфраструктуры, который вы разработали. Какие проблемы он решал?
В стеке указаны Clickhouse и Iceberg. Вопрос проверяет понимание работы с большими объемами данных.
В чем разница между OLTP и OLAP базами данных с точки зрения производительности и когда вы выберете Clickhouse вместо MySQL?
Вакансия предполагает работу с Terraform. Важно оценить навыки управления состоянием инфраструктуры.
Как вы организуете структуру кода в Terraform для управления ресурсами в нескольких окружениях (dev/prod), чтобы избежать дублирования?
Klaviyo работает на AWS в огромных масштабах. Инженер должен уметь находить узкие места.
Опишите случай, когда вам пришлось оптимизировать производительность распределенной системы. Какие метрики вы анализировали?
В описании упомянут интерес к AI. Компания ищет тех, кто готов внедрять новые подходы.
Как вы использовали или планируете использовать инструменты ИИ для повышения эффективности своей разработки или автоматизации процессов?
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- Страна
- США
- Зарплата
- 116 000 $ – 174 000 $