Senior/Lead Infrastructure Security Engineer
BiorenderSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Security, Cloud Computing, Software DevelopmentIndustries
Requirements
Candidates should have 5+ years of previous experience in software engineering with a strong focus on developing user-facing security features, along with strong development skills and experience shipping Python in production. Experience with Kubernetes dev and production coding and support, and familiarity with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving is required. A deep understanding of OIDC specifications, including OAuth 2.0, JWT, and related protocols, is necessary, as is a solid knowledge of security principles like session management, multi-factor authentication, and secure coding practices.
Responsibilities
As a Senior Software Engineer with a security focus, you will contribute to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure. You will write secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption. You will implement authentication mechanisms including user login, token management, and authorization checks to maintain data integrity, integrate new tools to enhance North’s security capabilities, design and implement secret management within Kubernetes clusters, including encryption and RBAC, and demonstrate strong soft skills to communicate security best practices to stakeholders.
Skills
Python
Kubernetes
GCP
Azure
AWS
OCI
Security features
OIDC
OAuth
JWT
Encryption
RBAC
DevSecOps
Session management
Authentication
Token management
Cohere
Provides NLP tools and LLMs via API
About Cohere
Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.
Key Metrics
Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees