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Senior Platform Engineer

Role overview

Summary

This role focuses on building and maintaining an Enterprise Agent Development Platform at the company. You will manage agent memory retention policies and ensure compliance with GDPR, collaborating with engineering teams to uphold governance standards.

Qualifications

  • 3+ years of experience in platform or compliance engineering.
  • Hands-on experience with agent memory systems in a production agentic AI project.
  • Background in GDPR/privacy compliance for user data.
  • Expertise in TTL and lifecycle management for cloud storage.
  • English proficiency at B2 level or higher.

Responsibilities

  • Define and maintain agent memory retention policies, including TTL configuration and episodic memory expiration.
  • Ensure GDPR compliance for agent memory, including user deletion handlers and right to erasure.
  • Configure AWS AgentCore Memory settings, including TTL settings and access controls.
  • Collaborate with engineering teams to standardize memory governance practices across the platform.

Key facts

Hard skills

Other skills

  • Collaboration

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We are looking for a Senior Platform Engineer to join our team building an Enterprise Agent Development Platform, a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development using LangGraph and Strands Agents on AWS AgentCore Runtime, reducing development time from months to days while enforcing consistent security, quality, and governance standards. As a Senior Platform Engineer, you will own agent memory retention policies, TTL configuration and GDPR compliance. Responsibilities Define and maintain agent memory retention policies, including TTL configuration, episodic memory expiration and summary memory lifecycle Ensure GDPR compliance for agent memory, including user deletion handlers, right to erasure and audit trail maintenance Configure AWS AgentCore Memory settings, including TTL settings, namespace policies and access controls Classify memory data according to sensitivity, encryption requirements and retention periods Manage agent memory cleanup processes, including automated expiration and manual purge procedures Collaborate with engineering teams to standardize memory governance practices across the platform Document memory retention and compliance procedures to support audits and operational consistency Requirements 3+ years of experience in platform or compliance engineering Hands-on experience with agent memory systems in a production agentic AI project, such as implementing memory retention/TTL policies, memory lifecycle management, or GDPR-style data governance for AI agents Experience in data retention policy implementation Background in GDPR/privacy compliance for user data Expertise in TTL and lifecycle management for cloud storage English proficiency at B2 level or higher Nice to have Familiarity with AWS AgentCore Memory retention configuration Background in privacy engineering for AI systems Knowledge of audit trail and compliance logging Understanding of cross-region data residency requirements

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