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SeniorВ офисеПолная занятость

Senior Software Engineer (Python)

Оценка ИИ

AlphaSense — это стабильный 'единорог' с сильной инженерной культурой и интересным доменом (AI + Fintech). Работа с современным стеком в глобальной команде обеспечивает отличные возможности для профессионального роста.


Вакансия из Quick Offer Global, списка международных компаний
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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в области распределенных систем и алгоритмов, а также опыта работы с Python и AWS. Высокая планка ответственности за критически важные пайплайны данных повышает сложность позиции.

Анализ зарплаты

Медиана45 000 $
Рынок35 000 $ – 60 000 $
Оценка ИИ

Зарплата для Senior Python ролей в Дели (Индия) в международных продуктовых компаниях обычно выше среднего по рынку. Указанный диапазон отражает текущие рыночные реалии для опытных инженеров в технологическом секторе Индии.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Software Engineer position within the FinData team at AlphaSense. With over five years of experience in building mission-critical software and a deep proficiency in Python and distributed systems, I am excited about the opportunity to contribute to a platform that empowers over 6,000 enterprise customers with AI-driven market intelligence.

In my previous roles, I have focused on developing robust data pipelines and scalable services, which aligns perfectly with the FinData team's mission to ingest and process complex financial datasets. I am particularly drawn to AlphaSense's collaborative culture and your commitment to technical excellence through DevOps practices and continuous innovation. My background in designing high-quality, pragmatic solutions and my interest in financial technology make me a strong fit for this role.

I am eager to bring my technical mastery and ownership mindset to your global engineering team. Thank you for considering my application; I look forward to the possibility of discussing how my skills can support AlphaSense's continued growth and the evolution of your FinData services.

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Присоединяйтесь к команде AlphaSense и создавайте будущее финансовых технологий на базе AI!

Описание вакансии

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Team

At AlphaSense, the FinData team is leading the effort to build robust ingestion data pipelines and services that power our platform with fundamentals and reported data coming from various sources.

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of our platform.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

The Role:

We’re looking for an experienced Senior Software Engineer to join our FinData team. This is an opportunity to work on different challenges at all levels of our stack, designing, implementing, testing, maintaining, and improving features and services. You’ll have the autonomy to own and operate applications and services that you build while focusing on collaborative delivery over independent efforts.

What You’ll Do:

  • Develop product expertise, technical mastery, and contribute to a team.
  • Clarify requirements & implement effective solutions.
  • Evolve technical maturity and ability of the organisation by applying new technology and practices through constant learning and innovation.
  • Collaborate with teams in global locations and across functions in some cases. Communicate directly with the product and other stakeholders.
  • Follow the engineering processes, DevOps practices, and trends inside the company (monitoring, alerting, performance optimisation, integration testing, design documentation)

Candidate Requirements:

  • 5+ years of software development experience building highly reliable, mission-critical software.
  • A strong foundation in computer science fundamentals, such as algorithmic complexity, asynchronicity, and distributed computing.
  • Good Knowledge on design and architecture concepts.
  • Familiarity with Agile software development processes and software testing.
  • Experience in shipping pragmatic and high quality solutions with a sense of urgency
  • Ability and desire to work in an open and team-oriented environment.
  • Excitement to learn from and work with experts in other disciplines.
  • Have a strong sense of ownership, a sense of humor and strong collaboration skills
  • Experience with Python, Typescript, AWS is a plus.
  • A background or interest in financial modeling, financial technology, or capital markets is a plus but not mandatory.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

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Навыки

  • Python
  • TypeScript
  • AWS
  • Distributed Systems
  • Algorithms
  • DevOps
  • Asynchronous Programming
  • Software Architecture
  • Agile
  • Unit Testing

Возможные вопросы на собеседовании

Позиция Senior предполагает глубокое понимание основ CS для оптимизации производительности.

Расскажите о наиболее сложной задаче по оптимизации алгоритмической сложности, которую вы решали в распределенной системе.

Команда FinData работает с асинхронностью и высоконагруженными пайплайнами.

Как вы подходите к отладке и обеспечению надежности в асинхронных Python-приложениях (например, с использованием asyncio)?

Вакансия упоминает владение архитектурными концепциями.

Опишите ваш опыт проектирования масштабируемых конвейеров обработки данных (data pipelines). Какие паттерны вы использовали для обеспечения отказоустойчивости?

AlphaSense ценит DevOps-практики и мониторинг.

Каков ваш подход к обеспечению наблюдаемости (observability) сервисов? Какие метрики вы считаете критическими для систем обработки финансовых данных?

Работа предполагает взаимодействие с глобальными командами и стейкхолдерами.

Приведите пример ситуации, когда вам нужно было убедить команду или бизнес-заказчика в необходимости технического изменения. Как вы аргументировали свою позицию?

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