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merqube
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Чили
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Platform Support Engineer

Оценка ИИ

Интересная роль в быстрорастущем финтехе с современным стеком (Cloud, Python, Kubernetes). Компания предлагает хорошие бенефиты и возможности для профессионального роста, хотя наличие on-call смен может подойти не всем.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в отладке бэкенд-сервисов и ETL-конвейеров, а также готовности к дежурствам (on-call). Необходим опыт работы с Python/Go и SQL от 3 лет, что делает позицию сложной для новичков.

Анализ зарплаты

Медиана3 500 $
Рынок2 500 $ – 4 500 $
Оценка ИИ

Предлагаемая позиция в Чили соответствует уровню Middle/Senior Support Engineer. Рынок финтеха в регионе предлагает конкурентные зарплаты, часто превышающие средние показатели по стране для ИТ-сектора.

Сопроводительное письмо

I am writing to express my strong interest in the Platform Support Engineer position at MerQube. With over 3 years of experience in building and debugging production services using Python and working with complex data pipelines, I am confident in my ability to enhance the reliability of your indexing platform. My background in root cause analysis and distributed systems aligns perfectly with your need for an engineer who can navigate backend architectures to resolve critical issues.

Throughout my career, I have developed a passion for troubleshooting ETL workflows and optimizing system stability. I am particularly drawn to MerQube's innovative approach to rules-based investing and the opportunity to work with advanced cloud-based technologies. I am eager to bring my technical expertise and problem-solving mindset to your team in Viña del Mar and contribute to the seamless operation of your financial data infrastructure.

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Откликнитесь в merqube уже сейчас

Присоединяйтесь к MerQube, чтобы решать сложные технические задачи на стыке финтеха и высоконагруженных систем!

Описание вакансии

MerQube is a cutting-edge fintech firm, specializing in the development of advanced technology for indexing and rules-based investing. We offer innovative solutions for designing and calculating complex, rules-based strategies. Founded in 2019 by a team of index industry veterans and technology experts, MerQube provides a tech-focused alternative in the indexing space, with offices in New York, London, Bangalore and Vina Del Mar.

MerQube designs and calculates a wide variety of indices, including thematic, ESG, QIS, and delta one strategies, spanning multiple asset classes such as equities, futures, and options. Leveraging cloud-based architecture and advanced index-tracking technology, our platform enables clients to bring new ideas to market swiftly and efficiently.

Summary

We are looking for a Platform Support Engineer to help maintain and improve the reliability of MerQube’s production systems.

In this role, you will investigate technical issues, debug backend services and data pipelines, and work closely with engineers across the organization to diagnose and resolve system problems. You will gain deep visibility into MerQube’s platform and play an important role in ensuring that our systems operate reliably for internal teams.

This position is ideal for engineers who enjoy problem solving, debugging complex systems, and learning how large-scale platforms operate. Support Engineers work across multiple parts of the system, making this role a great opportunity to develop a broad understanding of backend architecture, data pipelines, and financial data processing.

You will also help identify recurring issues and collaborate with the broader engineering team to improve system reliability and reduce operational friction.

What will you do?

  • Investigate and diagnose production issues, bugs, and system failures
  • Work closely with internal engineering teams to resolve technical issues impacting the platform
  • Debug backend services, APIs, and distributed systems
  • Troubleshoot issues in data ingestion pipelines, ETL workflows, and computation processes
  • Perform root cause analysis (RCA) on production incidents
  • Identify recurring operational issues and propose improvements to increase system reliability
  • Collaborate with engineers to implement fixes and improve system stability
  • Use logs, monitoring tools, and debugging techniques to analyze system behavior
  • Document troubleshooting processes and common operational workflows
  • Develop a broad understanding of MerQube’s systems and financial data infrastructure

On-Call Responsibilities

The role includes participation in a light on-call rotation focused on responding to critical production incidents.

Most work occurs during regular business hours supporting internal teams. During on-call periods, engineers ensure that high-priority incidents (P1 issues) are addressed in a timely manner by either resolving the issue directly or coordinating with the appropriate engineering teams.

The on-call rotation is designed to provide coverage for critical incidents and is not intended to require continuous off-hours work.

Technologies & Systems You May Work With

  • Backend services and APIs
  • Data ingestion and ETL pipelines
  • Distributed systems and microservices
  • Financial market data processing
  • Cloud infrastructure (AWS / GCP)
  • Monitoring and observability tools
  • Containerized environments and orchestration systems

What the position requires:

  • Bachelor’s Degree in Computer Science, Engineering or equivalent work experience.
  • 3+ years experience building production services using Python/Go/C++/Java
  • Experience working with backend systems or data processing pipelines
  • Strong debugging and problem-solving skills
  • Familiarity with Python or similar backend programming languages
  • Experience working with SQL and data systems
  • Ability to investigate complex technical issues across multiple services
  • Strong communication skills and ability to collaborate across teams
  • Interest in learning about financial systems and data processing

Preferred Qualifications

  • Experience working with ETL or data pipelines
  • Familiarity with workflow orchestration tools such as Airflow
  • Experience with distributed systems or microservices architectures
  • Familiarity with cloud environments (AWS or GCP)
  • Experience debugging production systems
  • Familiarity with tools such as Docker, Kubernetes, or containerized environments
  • Experience working with monitoring, logging, or observability tools
  • Exposure to financial markets or financial data

We believe in creating and preserving an environment of collaboration and growth for all team members, and take steps every day to promote inclusivity, wellness, and fun. With these commitments in mind, we are proud to offer:

  • Competitive compensation packages
  • Stellar full-time benefits, including medical, dental, vision, and more
  • Flexible working arrangements, including opportunities to work remotely
  • Community-first environment (we want your colleagues to be your friends!)
  • Focus on health, wellness, and work-life balance
  • Opportunities to learn, develop, and grow
  • PTO, holiday, and sick time

Equal Opportunity Employer

MerQube is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you’re the best person for the job, we want you on board!

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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Навыки

  • Python
  • Go
  • C++
  • Java
  • SQL
  • ETL
  • AWS
  • Google Cloud Platform
  • Docker
  • Kubernetes
  • Airflow
  • Microservices
  • Distributed Systems
  • Monitoring

Возможные вопросы на собеседовании

Проверка навыков отладки в распределенных системах.

Опишите ваш процесс поиска первопричины (RCA) при возникновении ошибки в микросервисной архитектуре, когда данные теряются между сервисами.

Оценка опыта работы с данными, что критично для MerQube.

С какими типичными проблемами в ETL-пайплайнах вы сталкивались и как вы их решали для обеспечения целостности данных?

Проверка владения основным стеком (Python).

Как бы вы оптимизировали медленный Python-скрипт, который обрабатывает большие объемы финансовых данных из SQL-базы?

Оценка готовности к работе в режиме on-call.

Расскажите о самом сложном инциденте, который вы решали во время дежурства. Как вы приоритизировали задачи под давлением?

Проверка понимания облачной инфраструктуры.

Какие инструменты мониторинга и логирования (например, Prometheus, ELK, CloudWatch) вы использовали для проактивного обнаружения проблем?

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merqube
Страна
Чили