Senior Software Engineer at AlphaSense

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TechnologyIndustries

Requirements

No less than 4 years of experience in backend development
Proficiency in Java or Python, or both
Working understanding of any cloud service providers (preferably AWS)
Working knowledge of SQL and NoSQL databases
Experience in designing stateless and stateful microservices
Strong problem-solving and analytical skills (ability to dissect complex problems into manageable components)
Strong communicator with the ability to distill complex technical concepts for diverse audiences
Proactive and customer-first mindset
Adaptable and eager to continuously learn and improve
Enjoys being part of an entrepreneurial team and helping others

Responsibilities

Write high-quality, performant, industry-standard code
Develop and maintain product expertise and technical mastery while contributing to the team
Work with a globally distributed and cross-functional team
Stay abreast of and implement the latest engineering processes, DevOps practices, and trends
Mentor Software Engineers to improve their skills and reduce development iterations
Clarify requirements and develop effective solutions
Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices
Solve larger technical challenges while leading the effort to design, build, and configure applications
Act as the primary point of contact

Skills

Integrations

Connectors

Data Ingestion

Enterprise Platforms

AlphaSense

AI-driven financial research platform

About AlphaSense

AlphaSense provides a financial research platform that uses artificial intelligence to help clients gain insights into various companies, industries, and market trends. Users can search through a vast library of over 300 million documents, which includes both external and proprietary content. The AI technology streamlines the research process by automating repetitive tasks, allowing clients to concentrate on analyzing the information instead. Additionally, AlphaSense monitors real-time data to highlight important insights, helping clients stay ahead in a rapidly changing market. Unlike its competitors, AlphaSense is particularly focused on data security, implementing advanced measures like the zero trust security model and secure data encryption. The goal of AlphaSense is to empower clients in making informed decisions, whether they are launching new products or providing strategic insights to executives.

New York City, New YorkHeadquarters

2011Year Founded

$1,248.2MTotal Funding

LATE_VCCompany Stage

Cybersecurity, AI & Machine Learning, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Company Equity

Performance Bonus

Remote Work Options

Risks

Rapid AI adoption may homogenize creative outputs, reducing unique value of insights.

Tegus acquisition poses integration challenges, potentially disrupting service delivery.

Reliance on AI exposes AlphaSense to risks of biases and inaccuracies affecting client trust.

Differentiation

AlphaSense leverages AI to provide real-time insights, enhancing decision-making speed and accuracy.

The platform's Generative Search tool offers advanced search capabilities mimicking human analysts.

AlphaSense's acquisition of Tegus expands its content library, offering unmatched insights.

Upsides

Generative AI integration enhances AlphaSense's speed and reliability of financial insights.

The Tegus acquisition significantly expands AlphaSense's content library for comprehensive insights.

AI-driven tools are essential for financial institutions, aligning with AlphaSense's offerings.

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