Cybersecurity Cloud Architect

New York, New York, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Information Security, CybersecurityIndustries

Requirements

Candidates should possess a CCSP, GIAC, CISSP, or other relevant security credentials, or equivalent experience, along with experience working with cloud environments such as Google Compute Platform (GCP), Amazon Web Service (AWS), and Microsoft Azure. Familiarity with cloud security platforms like Wiz, Orca Security, Divvycloud, Palo Alto Prisma Cloud, and understanding of encryption, identity and access management (IAM), network security, vulnerability management, and incident response are also required. Programming experience using Python, Terraform, OPA, ruby, or similar technologies is necessary.

Responsibilities

The Cybersecurity Cloud Architect will design and implement secure cloud architectures, ensuring adherence to industry standards and best practices, and staying up to date on emerging threats, vulnerabilities, and technologies in cloud security. They will function as part of a small, cross-functional team specializing in cybersecurity, develop documentation and training for cloud and developer security, and recommend plans of action to respond and adapt to changing landscapes.

Skills

Cloud Security Platforms (Wiz, Orca Security, Divvycloud, Palo Alto Prisma Cloud)

Cloud Environments (GCP, AWS, Azure)

Security Practices (SAST, DAST, CI/CD, SCA, encryption, IAM, network security, vulnerability management, incident response)

Programming (Python, Terraform, OPA, Ruby)

Schrödinger

Computational platform for biopharmaceutical research

About Schrödinger

Schrödinger provides a computational platform that aids in the research efforts of biopharmaceutical companies, academic institutions, and government laboratories around the world. Their platform offers advanced computational tools that help in drug discovery and development across various therapeutic areas. Schrödinger's products work by using sophisticated algorithms and simulations to predict how different compounds will interact, which can significantly speed up the research process. Unlike many competitors, Schrödinger not only licenses its software but also engages in collaborative research and drug discovery programs, allowing for a more integrated approach to scientific research. The company's goal is to enhance scientific research and development through its platform, ultimately leading to the discovery of new drugs and therapies.

New York City, New YorkHeadquarters

1990Year Founded

$362.7MTotal Funding

IPOCompany Stage

Government & Public Sector, Enterprise Software, BiotechnologyIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Flexible Work Hours

Remote Work Options

Paid Vacation

Parental Leave

Risks

Recursion and Exscientia merger creates strong AI-driven drug discovery competitor.

Avicenna's independent expansion could lead to competitive tensions with Schrödinger.

High R&D costs may strain resources despite Gates Foundation's $10M grant.

Differentiation

Schrödinger's platform supports diverse clients, including biopharma, academia, and government labs.

The company excels in rapid drug discovery, exemplified by SGR-1505's swift development.

Schrödinger's collaboration with Avicenna enhances medicinal chemistry through machine learning.

Upsides

$19.5M Gates Foundation grant boosts platform for neglected diseases, expanding market reach.

Predictive toxicology tools initiative could lead to safer, efficient drug development.

SGR-1505 discovery showcases ability to reduce drug discovery timelines significantly.

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