Software Engineer II (Search Team)

New Delhi, Delhi, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Market Intelligence, SoftwareIndustries

Requirements

Candidates must have 4-6 years of software development experience, with strong proficiency in the Java ecosystem and Spring-based applications. A solid understanding of data structures, algorithms, and relational/NoSQL databases is required, along with experience in Docker, Kubernetes, and system debugging. Strong problem-solving, analytical, communication, and interpersonal skills are essential for writing high-quality code for scalable, reliable, and distributed systems.

Responsibilities

The Software Engineer II will design, develop, and maintain backend systems for search and entitlement validation, optimizing search relevance and performance. They will collaborate with cross-functional teams, manage data across Vespa, Elasticsearch, and MongoDB, and ensure secure data access. Responsibilities also include monitoring system health, writing clean and testable Java code, participating in code reviews, troubleshooting production issues, and staying current with emerging technology trends to propose innovative solutions.

Skills

Java

Data Structures

Algorithms

Problem-Solving

Analytical Skills

Spring

Relational Databases

NoSQL Databases

Docker

Kubernetes

Vespa

Elasticsearch

MongoDB

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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