Senior System Engineer - AWS IAM, Python and Agentic AI

EPAM · Coimbatore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:23 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: bltj1izyoyt10kb1ejk

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

We are seeking a Senior System Engineer with deep expertise in AWS IAM, Python, and Agentic AI to architect and secure next-generation AI systems. In this role, you will design secure-by-design controls for agentic mesh AI environments, govern multi-account AWS landscapes, and enable policy-aware AI agents operating within defined security and compliance boundaries. Responsibilities Design and implement secure-by-design controls for agentic mesh AI systems built on Amazon Bedrock Define trust boundaries between autonomous AI agents and services Assess and mitigate risks related to prompt injection, model misuse, and agent-to-agent trust and verification Address data leakage and cross-agent contamination concerns across AI workloads Enable policy-aware AI agents that operate within defined security and compliance constraints Apply network security patterns for AI workloads, including VPC design, private endpoints, and Bedrock access controls Architect and govern multi-account AWS environments leveraging Organizations and Control Tower Implement account isolation strategies for AI workloads, data, and agent execution Enforce security controls using AWS Security Hub, GuardDuty, Config, and CloudTrail Collaborate across AI engineers, cloud teams, and governance stakeholders to align on security architecture Produce strong architectural documentation and communicate complex security concepts clearly Requirements 5-8 years of general IT experience, including 5+ years of professional experience in system engineering and cloud security Expertise in AWS IAM, Amazon AWS Security, and AWS Security Hub Proficiency in Python for automation and security tooling Background in Amazon Bedrock AgentCore and AI Agents Frameworks Knowledge of AI & ML Strategy with focus on secure deployment patterns Skills in multi-account AWS governance using Organizations and Control Tower Familiarity with AWS security services, including GuardDuty, Config, and CloudTrail Understanding of network security patterns for AI workloads, including VPC design and private endpoints Capability to act as a structured thinker with a security-first mindset and strong communication skills Proficient communication skills in English (B2 level or higher) Nice to have Understanding of agentic AI concepts and design principles Familiarity with multi-agent systems architecture Knowledge of tool-using and autonomous agents

Collected experience requirement

5-8 years