Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$201к-251к/год
$200к$240кмедиана$280к
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У роли понятный уровень Staff и фокус на аналитической платформе, современный облачный стек и заметное влияние на продукт; специализация на инвестициях может сузить выбор следующих ролей.
?Узкая специализация
Актуальный стек
Влияние на продукт
Сильный соцпакет
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer, Performance and Analytics (Investment Management): Building a next-generation performance and analytics platform for calculating, reporting, and presenting investment performance and attribution metrics with an accent on OLAP and columnar technologies, analytical data modeling, and cloud-native AWS services. Focus on architecting scalable applications, optimizing complex queries over large datasets, and developing automated testing and developer tooling.
Location: Hybrid; New York, NY or Reno, Nevada, United States
Salary: $200,500–$251,000 starting range per year
Company
hirify.global is an industry cloud platform building a modern public-cloud product for the investment management industry, with a focus on security, agility, and usability.
What you will do
Design and implement the next-generation performance and analytics platform for investment performance and attribution metrics.
Participate in the full software development lifecycle, from requirements and design reviews through implementation.
Help evolve a technology stack based on AWS back-end services.
Build developer-focused automation for scalable, high-quality applications.
Collaborate with design, strategy, and engineering while communicating clearly and contributing to a learning-oriented environment.
Requirements
8+ years of software engineering experience, including architecting and designing new products and technologies.
Experience with Kotlin or similar programming languages.
Familiarity with OLAP or columnar databases and the ability to optimize queries.
Understanding of data modeling for analytical use cases and interest in running complex analytics over large-scale data quickly.
Experience building cloud-native applications on AWS, Azure, or Google Cloud.
Degree in Computer Science, Information Science, or a related discipline.
Willingness to learn new technologies and develop expertise in a business domain; ability to balance short-term deliverables with a long-term perspective.
Strong complex problem-solving and communication skills, including communication with colleagues at all levels.
Understanding of the value of automated tests at all levels.
Nice to have
Buy-side technology experience.
Experience with GitHub Copilot or ChatGPT.
Experience building ETL pipelines that move data into OLAP systems.
Familiarity with performance concepts and methodologies including TWR, Brinson Attribution, and Profit and Loss.
Culture & Benefits
Collaborative, transparent, high-performing culture focused on ownership, learning, teaching, resilience, and solutions-oriented work.
Hybrid work arrangement with offices in New York, Reno, Lake Tahoe, and the Bay Area.
Unlimited vacation and educational and wellness reimbursements.
$0-cost employee insurance plans and participation in the company stock plan, subject to the applicable agreement.
Opportunities for career advancement and product impact.
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