Senior Automation Tester in Python (Agentic Gateway testing)

EPAM Systems; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

EPAM Systems is seeking a Senior Automation Tester in Python to join our AI platform team. You will own functional, security, and performance test suites for an enterprise-grade agent development platform built on LangGraph and AWS AgentCore Runtime.

You will design and execute test suites for agentic workflows, validate MCP protocol behavior, ensure proper authorization, and drive observability and CI/CD automation across deployments.

Qualifications

• 3+ years of QA engineering experience for AI/ML or agent systems.
• Hands-on experience testing AI agent systems in a production agentic AI project (e.g., MCP protocol, authorization/policy-enforcement, or multi-step workflow test automation).
• Experience testing LLM agent workflows, including tool calling and multi-step reasoning.
• Expertise in security testing for authorization and authentication.
• Performance benchmarking for cloud services.
• Familiarity with MCP protocol testing.
• Background in agent framework testing (LangChain, LangGraph, Crew).
• Knowledge of AWS Bedrock Agents testing.
• Understanding of chaos engineering for agentic systems.
• Familiarity with audit log validation (CloudTrail, OpenTelemetry traces).

Responsibilities

• Design and execute test suites for agentic workflows, including tool discovery, tool invocation, and multi-step agent workflows.
• Validate MCP protocol behavior, including tool list aggregation, tool call routing, and streaming response handling.
• Verify agent authorization mechanisms, including unauthorized tool access attempts and policy enforcement validation.
• Conduct agent performance testing covering tool discovery latency, concurrent agent sessions, and agent-to-agent latency.
• Build Python-based test automation using pytest with async support, mock MCP servers, and agent workflow simulation.
• Validate agent observability, including trace completeness, agent step logging, and audit trail verification.
• Collaborate with engineering teams to define quality standards for agent framework design and runtime architecture.
• Support CI/CD automation efforts by integrating test suites into deployment pipelines.

Skills

Python

Pytest

Async testing

Security testing

Performance testing

CI/CD testing

MCP protocol testing

Agent framework testing

LangGraph

OpenTelemetry

Tools

CloudTrail

OpenTelemetry

LangGraph

LangChain

AWS Bedrock

Job description

We are looking for a Senior Automation Tester in Python to join our team and 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. The 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. You will own functional, security, and performance test suites for the agentic gateway.

Responsibilities

Design and execute test suites for agentic workflows, including tool discovery, tool invocation, and multi-step agent workflows

Validate MCP protocol behavior, including tool list aggregation, tool call routing, and streaming response handling

Verify agent authorization mechanisms, including unauthorized tool access attempts and policy enforcement validation

Conduct agent performance testing covering tool discovery latency, concurrent agent sessions, and agent-to-agent latency

Build Python-based test automation using pytest with async support, mock MCP servers, and agent workflow simulation

Validate agentic observability, including trace completeness, agent step logging, and audit trail verification

Collaborate with engineering teams to define quality standards for agent framework design and runtime architecture

Support CI/CD automation efforts by integrating test suites into deployment pipelines

Requirements

3+ years of QA engineering experience for AI/ML or agent systems

Hands-on experience testing AI agent systems in a production agentic AI project, such as MCP protocol testing, agent authorization/policy-enforcement testing, or multi-step agent workflow test automation

Experience testing LLM agent workflows, including tool calling and multi-step reasoning

Expertise in security testing for authorization and authentication

Skills in performance benchmarking for cloud services

Nice to have Familiarity with MCP protocol testing

Background in agent framework testing (LangChain, LangGraph, Crew)

Knowledge of AWS Bedrock Agents testing

Understanding of chaos engineering for agentic systems

Familiarity with audit log validation (CloudTrail, OpenTelemetry traces)