Senior DevOps Engineer - Agent CI/CD & Registry

EPAM Systems; Turkey; Sur place; TRY 350 000 - 550 000; Plein temps

Avantages offerts par ce poste

Private health insurance

Well-being events

Extra leave days

Referral bonuses

Résumé du poste

EPAM Systems is seeking an experienced Senior DevOps Engineer to help build an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem for AI agents at scale.

You will design, implement, and operate the agent CI/CD pipeline, registry integrations, and security scans across ARM64 builds, AWS ECR, and GitHub Actions, partnering with platform, ML, and security teams to enforce governance and release standards.

Qualifications

• 3+ years of DevOps or platform engineering with AI/ML pipelines.
• Experience building CI/CD pipelines for AI agents in production.
• Proficiency with containerized workflows and AWS ECR.
• Strong knowledge of security scanning in CI/CD.

Responsabilités

• Build and operate the agent CI/CD pipeline including ARM64 builds and security scans.
• Design and maintain Agent Registry integration with metadata (git SHA, status, promotion).
• Implement GitHub Actions workflows for agent use cases and scans.
• Manage AWS ECR for agent images with semantic and git SHA versioning.
• Define and evolve the agent version metadata schema.
• Integrate security scanning across the pipeline for vulnerabilities, secrets, and compliance checks.
• Establish container registry management practices and tagging strategies.

Connaissances

DevOps

CI/CD pipelines

GitHub Actions

AWS ECR

Docker

Container registries

Security scanning

Git

English (B2+)

Outils

LangGraph/LangChain

AgentCore Runtime

ECR tagging

Description du poste

We are looking for an experienced Senior DevOps Engineer to help build 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 across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime.This initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. In this role, you will build and operate the agent CI/CD pipeline and registry integration that powers this ecosystem.ResponsibilitiesBuild and operate the agent CI/CD pipeline, including ARM64 agent container builds, security scanning, pushing to ECR, and triggering AgentCore Runtime version creationDesign and maintain Agent Registry integration to auto-register agent versions with metadata such as git SHA, evaluation pass/fail status, and promotion statusImplement GitHub Actions workflows for agent-specific use cases, including matrix builds and specialized security scans (prompt injection, PII leakage)Manage AWS ECR for agent images with semantic versioning tags and git SHA tags for full traceabilityDefine and evolve the agent version metadata schema, covering version ID, container digest, timestamp, evaluation results, and tool/policy bindingsIntegrate security scanning across the pipeline for vulnerabilities, secrets, and compliance checksEstablish container registry management practices and tagging strategies to support reliable agent deliveryPartner with platform, ML, and security teams to enforce consistent quality, governance, and release standards across all agent deploymentsRequirements3+ years of experience in DevOps or platform engineering with AI/ML pipelinesHands-on background in building CI/CD pipelines specifically for AI agents in a production agentic AI project — e.g., ARM64 agent container builds with security scanning, AWS AgentCore Runtime version registration, or agent-specific evaluation-gate integration in GitHub Actions (generic containerized CI/CD experience without agent/AgentCore context does not meet this bar)Proficiency in CI/CD pipeline implementation for containerized AI agents or ML modelsExpertise in container registry management, tagging strategies, and AWS ECR for agent images with semantic and git SHA versioningSkills in security scanning within CI/CD workflows, covering vulnerabilities, secrets, and complianceCompetency in GitHub Actions for agent workflows, including matrix builds and agent-specific scans for prompt injection and PII leakageUnderstanding of agent version metadata schemas, including container digests, evaluation results, and tool/policy bindingsFamiliarity with Docker for building and operating containerized agent workloadsEnglish proficiency at an Upper-Intermediate level (B2) or higherNice to haveKnowledge of AWS AgentCore Runtime endpoint management APIBackground in agent evaluation gate integration to block promotion when evaluations failFamiliarity with GitOps promotion patterns for agentsSkills in LangChain/LangGraph agent packaging and deploymentWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.