Junior Data Security - Hybrid (3 days in office) Job, 1+ Year Experience
Annual Income: $56K - $74K
A valid work permit is necessary in the US
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
Are you passionate about data security and safeguarding sensitive information? Do you have a strong understanding of security best practices and a desire to make a real impact? If so, then this Data Security Specialist role at [Your Firm] is the perfect opportunity for you!
In this critical role, you'll join our Cloud Security Architecture team, playing a vital role in protecting our firm's data, infrastructure, and systems within cloud environments.
Here's what you'll do:
- Data Security Champion: Set the vision and strategy for how we protect sensitive client information.
- Policy & Standards Architect: Develop and implement robust data security policies and technical standards to govern data handling practices.
- Security Consultant: Partner with internal teams to design and implement secure data architectures that meet stringent data protection requirements.
- Firm-Wide Data Guardian: Define comprehensive firmwide policies and procedures for data protection.
- Technical Guidance Guru: Craft detailed technical guides to empower engineers in implementing effective data-protection controls.
- Risk Assessment Expert: Conduct thorough security analysis of our systems, identifying data security risks and recommending mitigation strategies.
- Collaboration Champion: Proactively consult with internal stakeholders to help them find solutions to data protection challenges.
To be successful, you'll need:
- Strong knowledge of data security tools, processes, and procedures (access control, encryption, data loss prevention, data masking, tokenization).
- A solid understanding of information security and risk analysis methodologies.
- Proven experience in systems architecture, design, and engineering.
- Excellent analytical and problem-solving skills to identify and resolve complex data security challenges.
- Exceptional written and verbal communication skills to collaborate effectively with stakeholders across the organization.
- A degree in a relevant computing or software development discipline.
Bonus points if you have:
- Experience with cryptographic techniques, PKI, certificate lifecycle management, and hardware security modules (HSMs).
- Knowledge of public cloud security product offerings, particularly data protection solutions.
- Familiarity with authentication technologies (OAuth2, OpenID Connect, SAML 2.0).
- Experience with containerization technologies (Docker) and workload orchestration platforms (Kubernetes).
We offer:
- The opportunity to play a vital role in safeguarding our firm's sensitive data and infrastructure.
- A collaborative and dynamic work environment where you can learn and grow your expertise.
- The chance to work with cutting-edge technologies and industry best practices.
- The chance to make a real impact on the security posture of our organization.
Ready to leverage your data security expertise and join a team of passionate professionals? Apply today!
Please note: This role requires a strong commitment to data security and confidentiality.
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.
The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.
