
Platform Engineer – Agent Lifecycle & Archiving
Primary stack
Nice to have's
Job description
About the Position
We are looking for a Platform Engineer to design and automate agent lifecycle and archiving capabilities for an enterprise AI Agent Platform being built from the ground up.
The role will focus on managing the complete lifecycle of agent versions after deployment, including decommissioning, retention, archival, cleanup, and recovery, while ensuring historical versions remain available when required for audit, compliance, or incident investigation.
Responsibilities
- Design and implement agent decommissioning and retirement workflows, including controlled deprecation and version removal.
- Automate agent version archival and retention across AWS ECR and S3.
- Configure and manage ECR lifecycle policies for agent container images.
- Implement automated cleanup of deprecated agent versions while preserving required historical and audit records.
- Build mechanisms to recover archived agent versions for compliance, audit, and incident investigation purposes.
- Maintain lifecycle status and historical information for deprecated and retired versions within the Agent Registry.
- Develop automation for agent snapshots, archival, restoration, and lifecycle operations.
- Implement retention strategies balancing compliance requirements and storage cost optimization.
- Support long-term archival using Amazon S3 Glacier storage classes where appropriate.
- Support cross-region replication and disaster recovery patterns for agent artifacts.
- Collaborate with platform, governance, and compliance teams to define lifecycle and retention standards for AI agent versions.
Requirements
- Skills:
- Agent decommissioning process - deprecation workflow, retirement lifecycle, version removal procedures
- Agent version archiving - ECR lifecycle policies, retention policies, S3 archival for old agent versions
- Agent version recovery - restore archived agent versions for compliance, audit, or incident investigation
- Agent version cleanup - automated removal of deprecated versions while preserving audit trail
- AWS ECR lifecycle policies for agent images - move old versions to cheaper storage, eventual deletion
- Agent Registry decommission tracking - mark versions as deprecated/retired, maintain historical records
- Experience:
- 4+ years platform or cloud engineering
- Artifact lifecycle management and retention policies
- Compliance-driven data archival and retention (audit trail preservation)
- ECR lifecycle policies and cost optimization
Nice to Have
- AWS S3 Glacier for long-term agent version archival
- Compliance requirements for AI system versioning (audit, investigation)
- Agent version snapshot and recovery automation
- Cross-region agent version replication for DR
We Offer
- Competitive salary
- Remote work options
- Professional development budget
About the Company
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
© Intellias. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
The company develops projects in IoT, Artificial Intelligence, Data Science, UX/UI, Big Data, Cloud, DevOps, and other technologies.
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