Cyber Security Engineer
- Full Time, onsite
- Belcan Services Group, Limited Partnership
- HybridMon /Wed /Fri Onsite, United States of America
Job Title: Cyber Security Engineer
Location: Palo Alto, CA
Zip Code: 94304
Client: Rivian
Duration: 6 Months
Hybrid M/W/F
Job Description:
This candidate is responsible for designing and developing in-house Security Information and Event Management (SIEM), Security Orchestration, Automation, and Response (SOAR), and investigative tools, with a primary focus on building robust, scalable, and automated security solutions. In this role, you will be responsible for the end-to-end design, development, testing, deployment, and maintenance of key components within our large-scale data infrastructure. This infrastructure is essential for advancing automation, enabling data-driven insights, and enhancing enterprise-wide security measures.
Responsibilities
Develop and deploy scalable, production-ready software to drive automation and enable data-driven decision-making within the Enterprise Cybersecurity team, prioritizing resilience, performance, and security.
Provide engineering support for the Enterprise Cybersecurity Operations team, with a focus on creating automated solutions that reduce manual intervention and operational overhead.
Design and build event-driven, scalable systems to deliver timely alerts and automations, enhancing responsiveness and support for both the Cybersecurity team and external stakeholders.
Integrate new data sources into our data lake to enhance visibility and extend security coverage across the environment, focusing on building reusable, automated data ingestion processes.
Provide development and migration support for the integration of new tools and technologies, ensuring seamless onboarding within the Enterprise Cybersecurity environment.
Qualifications
- Extensive programming experience in object-oriented languages (e.g., Python, Go, Java) and SQL, with a proven track record in designing maintainable, scalable, and efficient solutions.
- Robust expertise in the following areas: distributed data processing, data engineering for high-volume data services, or developing scalable data streaming platforms for real-time analytics.
- Advanced proficiency in cloud and data infrastructure technologies (e.g., AWS, Databricks, Terraform, Apache Spark, Docker) with deep knowledge of development best practices, CI/CD pipelines, and cloud-native deployment.
- Comprehensive knowledge of RESTful APIs and data integration techniques to enable efficient, secure, and scalable data flow and communication between security systems and user-facing platforms.
- Strong familiarity with infrastructure-as-code tools such as Terraform or Ansible to automate and standardize security configurations across diverse environments.
- Hands-on experience with CI/CD pipelines, version control systems (e.g., Git), and modern software development practices to ensure high standards of consistency, quality, and automation in deploying and updating security tools.
- 4-7 years of years experience with Data Engineering and AI/ML is mandatory
Job Title: Cyber Security Engineer
Location: Palo Alto, CA
Zip Code: 94304
Client: Rivian
Duration: 6 Months
Hybrid M/W/F
Job Description:
This candidate is responsible for designing and developing in-house Security Information and Event Management (SIEM), Security Orchestration, Automation, and Response (SOAR), and investigative tools, with a primary focus on building robust, scalable, and automated security solutions. In this role, you will be responsible for the end-to-end design, development, testing, deployment, and maintenance of key components within our large-scale data infrastructure. This infrastructure is essential for advancing automation, enabling data-driven insights, and enhancing enterprise-wide security measures.
Responsibilities
Develop and deploy scalable, production-ready software to drive automation and enable data-driven decision-making within the Enterprise Cybersecurity team, prioritizing resilience, performance, and security.
Provide engineering support for the Enterprise Cybersecurity Operations team, with a focus on creating automated solutions that reduce manual intervention and operational overhead.
Design and build event-driven, scalable systems to deliver timely alerts and automations, enhancing responsiveness and support for both the Cybersecurity team and external stakeholders.
Integrate new data sources into our data lake to enhance visibility and extend security coverage across the environment, focusing on building reusable, automated data ingestion processes.
Provide development and migration support for the integration of new tools and technologies, ensuring seamless onboarding within the Enterprise Cybersecurity environment.
Qualifications
- Extensive programming experience in object-oriented languages (e.g., Python, Go, Java) and SQL, with a proven track record in designing maintainable, scalable, and efficient solutions.
- Robust expertise in the following areas: distributed data processing, data engineering for high-volume data services, or developing scalable data streaming platforms for real-time analytics.
- Advanced proficiency in cloud and data infrastructure technologies (e.g., AWS, Databricks, Terraform, Apache Spark, Docker) with deep knowledge of development best practices, CI/CD pipelines, and cloud-native deployment.
- Comprehensive knowledge of RESTful APIs and data integration techniques to enable efficient, secure, and scalable data flow and communication between security systems and user-facing platforms.
- Strong familiarity with infrastructure-as-code tools such as Terraform or Ansible to automate and standardize security configurations across diverse environments.
- Hands-on experience with CI/CD pipelines, version control systems (e.g., Git), and modern software development practices to ensure high standards of consistency, quality, and automation in deploying and updating security tools.
- 4-7 years of years experience with Data Engineering and AI/ML is mandatory