Security Engineer, Product Security
Chainlink LabsFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need a Bachelor's degree in Engineering, Computer Science, Management Information Systems, or a related field (or equivalent experience), plus a minimum of 5+ years of professional experience in DevOps, security engineering, or a related field. A strong understanding of security principles and best practices, including threat modeling and risk assessment, is also required.
Responsibilities include integrating security into the CI/CD pipeline, supporting Application Security Testing (AST) tools like SAST, DAST, IAST, and SCA, conducting security assessments and penetration testing, developing secure IaC scripts with tools like Terraform or Pulumi, and mentoring teams on secure practices.
This information is not specified in the job description.
This information is not specified in the job description.
You will collaborate closely with development, operations, and security teams, mentor junior engineers to foster a culture of security, manage teams implementing DevOps solutions, and educate development and operations teams on secure coding practices.
Data analytics and SQL engine distribution
Starburst specializes in data analytics by providing a distribution and support for the Trino SQL engine, which is designed for efficient and scalable analytics on data lakes and various data sources. Their products, Starburst Galaxy and Starburst Enterprise, allow clients to access and analyze data quickly, whether in the cloud or on-premises. Starburst connects seamlessly with popular data visualization tools like Tableau, Power BI, and Looker, making it easier for users to integrate and access their data. What sets Starburst apart from competitors is its enhancement of the open-source Trino engine with additional connectors, security features, and dedicated enterprise support. The company's goal is to help organizations achieve faster data insights and better decision-making through improved analytics capabilities.