Platform Engineer — Semantic Discovery & Credentials (mcpreg-004)

EPAM Systems Inc; United States; On-site; USD 69,000 - 104,000; Full time

Job summary

EPAM Systems seeks a Platform Engineer — Semantic Discovery & Credentials to join the team in Portugal in a fully remote mode. You will develop core capabilities for semantic discovery and secure credential management within the MCP Server Registry for an Enterprise Agent Development Platform.

Your work includes designing semantic discovery with vector embeddings, integrating Vault/AWS Secrets Manager, and building Python APIs for credential lifecycles in runtime environments.

Qualifications

• 3+ years in platform or backend engineering roles.
• Hands-on with Vault (HashiCorp) or AWS Secrets Manager.
• Practical experience with semantic or vector search (OpenSearch, pgvector).
• Strong Python for backend API design and integration.
• Knowledge of security, identity, and access management in distributed systems.
• Experience with AWS Bedrock embedding models is a plus.
• Familiarity with OpenSearch Service or pgvector on RDS for search infra.
• Understanding OAuth token lifecycle and security patterns.
• Background in building enterprise-scale registry or resource management platforms.

Responsibilities

• Design semantic discovery mechanisms for MCP servers using vector embeddings.
• Integrate Vault and AWS Secrets Manager for secure credential storage and retrieval.
• Develop Python APIs for credential lifecycle management and runtime retrieval.
• Implement domain and capability taxonomy for MCP resource classification.
• Build indexing pipelines using OpenSearch or pgvector for semantic search.
• Collaborate on integrating semantic search with MCP orchestration workflows.
• Ensure secure handling of keys, tokens, and secrets per enterprise standards.
• Optimize performance and reliability of credential management components.
• Work with governance teams to embed access control in credential workflows.

Skills

Platform engineering

Backend development (Python)

Secrets management

Semantic search

OAuth / IAM concepts

Tools

OpenSearch

pgvector

Vault

AWS Secrets Manager

Python APIs

Job description

We're looking for a Platform Engineer — Semantic Discovery & Credentials (mcpreg-004) to join our team in Portugal in a fully remote working mode. In this role, you will build core capabilities for semantic discovery and secure credential management within the MCP Server Registry for an Enterprise Agent Development Platform. This platform provides a cloud-native environment for defining, orchestrating, and observing AI agents at scale, accelerating development by standardizing runtime, tooling, deployment, and observability. Your work will focus on enabling intelligent MCP resource discovery through vector-based search and providing enterprise-grade, secure credential handling integrated with platform services.

Responsibilities

• Design and implement semantic discovery mechanisms for MCP servers using vector embeddings
• Integrate Vault (HashiCorp) and AWS Secrets Manager for secure credential storage and retrieval
• Develop and maintain APIs in Python for credential lifecycle management and retrieval in runtime environments
• Implement domain and capability taxonomy for MCP resource classification
• Build indexing pipelines using OpenSearch or pgvector for semantic search and discovery
• Collaborate on integrating semantic search with MCP orchestration workflows and developer tooling
• Ensure secure handling of keys, tokens, and secrets with enterprise compliance standards
• Optimize performance and reliability of credential management components for large-scale deployments
• Work closely with platform governance teams to embed access control and compliance into credential workflows

Requirements

• 3+ years of experience in platform or backend engineering roles
• Hands-on experience with secrets management platforms such as Vault (HashiCorp) or AWS Secrets Manager
• Practical expertise implementing semantic or vector search (OpenSearch, pgvector, or equivalent)
• Strong skills in Python for backend API design and integration work
• Knowledge of best practices in security, identity, and access management for distributed systems
• Nice to have Experience using AWS Bedrock embedding models for semantic indexing
• Familiarity with OpenSearch Service or pgvector on RDS for search infrastructure
• Understanding of OAuth token lifecycle management and associated security patterns
• Background in building enterprise-scale registry or resource management platforms