Sr Infrastructure Engineer

About Us

Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The company’s Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at www.automationanywhere.com

Job Title: Cloud & AI Security Engineer

Experience: 5–6 years

Location: Vadodara

Employment Type: Full-time

Job Summary

We are seeking a skilled Cloud & AI Security Engineer to enhance the security posture of our cloud environments and AI configurations. The ideal candidate will have strong experience working with AWS, Azure, and GCP, and hands-on knowledge of tools like Wiz and GuardDuty, with a solid understanding of cloud access, configuration auditing, and AI-related security controls.

Key Responsibilities

• Manage and secure cloud access controls across AWS, Azure, and GCP.
• Review and enforce cloud security configurations based on industry best practices and compliance standards.
• Implement and monitor security tooling such as Wiz and GuardDuty for threat detection, vulnerability management, and misconfiguration alerts.
• Audit cloud infrastructure configurations regularly and generate reports with actionable recommendations.
• Assess and enforce security of AI configurations, ensuring responsible use and access management of AI platforms and tools.
• Stay current with evolving cloud and AI security threats, and proactively suggest improvements.
• Work closely with internal teams to ensure secure configuration and usage of cloud and AI environments.
  
  

• 5–6 years of hands-on experience in cloud security engineering or a related field.
• Proficiency in cloud platforms: AWS, Azure, and GCP.
• Strong experience with Wiz, GuardDuty, or equivalent CSPM/CNAPP solutions.
• Solid understanding of cloud identity and access management (IAM) and security configuration auditing.
• Familiarity with securing AI tools or configurations, including access controls and risk mitigation.
• Knowledge of compliance and security standards such as CIS Benchmarks, NIST, or ISO 27001.
• Excellent problem-solving skills with strong attention to detail.
• Relevant certifications (e.g., AWS Security Specialty, Azure Security Engineer, GCP Security Engineer) are preferred.