Lead Engineer - DevSecOps

Overview

Responsibilities

• Lead a product, project, people practicing industry best practices in GenAi product build.
• Integrate security practices into the DevOps lifecycle, ensuring that security is a core component of the development, deployment, and operational processes.
• Design, implement, and maintain CI/CD pipelines that incorporate automated security testing and compliance checks.
• Collaborate with development, operations, and security teams to identify and address security vulnerabilities and risks.
• Implement and manage infrastructure as code (IaC) to ensure consistent and secure infrastructure deployment.
• Develop and maintain automation scripts and tools to streamline security processes and enhance efficiency.
• Monitor and analyze system performance, security events, and logs to detect and respond to security incidents promptly.
• Conduct regular security assessments, audits, and penetration testing to ensure the integrity and security of AI solutions.
• Stay updated with the latest security threats, vulnerabilities, and best practices, incorporating them into the DevSecOps processes.
• Provide guidance and training to development and operations teams on security best practices and tools.
• Ensure compliance with industry standards and regulatory requirements, implementing necessary controls and documentation.
• Foster a culture of continuous improvement and security-first mindset within the engineering and operations teams.
• Ensure the alignment of DevSecOps goals with the company's strategic objectives, driving the secure and efficient delivery of AI products.

Qualifications

• Programming and Scripting Languages: Proficiency in Python, Bash, PowerShell, or Ruby for automation and scripting.
• CI/CD Tools: Experience with continuous integration and continuous deployment tools such as GitHub,Jenkins, GitLab CI/CD, CircleCI, or Travis CI.
• Configuration Management: Knowledge of configuration management tools like Ansible, Puppet, or Chef.
• Containerization and Orchestration: Proficiency in Docker and Kubernetes for managing containerized applications.
• Cloud Platforms: Familiarity with cloud services such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).
• Security Tools: Experience with security tools and practices including vulnerability scanners (e.g., Nessus, Qualys), SIEM systems, and compliance frameworks.
• Infrastructure as Code (IaC): Proficiency in IaC tools like Terraform/Bicep or AWS CloudFormation.
• Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk.
• Version Control: Proficiency in Git and platforms like GitHub or GitLab for version control and collaboration.
• Networking: Understanding of networking concepts, protocols, and security measures.
• Proficient in integrating AI agents and Experience leveraging AI-assisted orchestration and autonomous agents to streamline infrastructure management, automate security compliance, and drive operational excellence.

Skills And Attributes For Success

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field.
• Extensive experience in DevSecOps, cybersecurity, or a related field.

What We Look For

What Working At Inception Offers