Senior Cloud Security Engineer

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Market Intelligence, AI, SaaSIndustries

Requirements

Candidates should have 5+ years of experience in cloud security, with at least 3 years of hands-on experience in containerized environments. Excellent understanding of AWS, Kubernetes (k8s), and Infrastructure as Code (IaC) solutions is required, along with proficiency in at least one programming language and experience with cloud security posture management tooling. Experience with Azure, GCP, integrating security into CI/CD pipelines, threat modeling, security architecture reviews, and compliance requirements is also beneficial.

Responsibilities

The Senior Cloud Security Engineer will develop and automate security controls for cloud infrastructure, maintain, integrate, and scale cloud security tooling, and investigate and remediate security vulnerabilities. Responsibilities include building access controls, partnering with incident response teams to build detections and analyze/mitigate security incidents, developing security standards for engineering teams, and working with compliance teams to ensure adherence to frameworks like ISO 27001, SOC 2, and GDPR. The role also involves conducting architecture reviews, threat modeling, and code reviews.

Skills

Cloud Security

Containerized Environments

Infrastructure as Code

Kubernetes

DevOps

Infrastructure Engineering

Security Controls

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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