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Project description One of the world's largest providers of products and services to the energy industry has a need to develop, support and integrate software system in Oil & Gas domain. You will be a member of a cross functional team. Key project stakeholders are open for innovative ideas. Project is based on SCRUM methodology. This is a great opportunity to work in an international team, apply and learn modern IT technologies Responsibilities Application Security with strong AI/ML security exposure Threat modeling and risk assessment for AI systems, APIs, and cloud-native applications Protection against prompt injection, adversarial ML, data poisoning, and model abuse Secure SDLC and CI/CD integration, including MLOps pipelines Hands-on experience with SAST, DAST, SCA, container scanning, and security automation Strong collaboration with development and data science teams Skills Must have 5+ years in Application Security, with at least 1-2 years focused on AI/ML security Strong secure coding and vulnerability management background (OWASP Top 10) Experience with cloud platforms (AWS and/or Azure) Strong programming skills in Python or Java Familiarity with AI platforms such as Amazon Bedrock, SageMaker, or Spark Strong communication skills Nice to have Good knowledge of Microsoft Active Directory services Firewall and security group administration practical experience. Good understanding of AICPA SOC2 controls and processes. Thorough knowledge of network security and protocols. Knowledge of cryptography protocols and hands-on experience in SSL certificates generation. Penetration testing hands-on experience in Azure and AWS cloud environments and Kubernetes clusters. Web and desktop applications penetration testing hands-on experience. Other Languages English: B2 Upper Intermediate Seniority Senior
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