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Senior Automation Tester in Python (Agentic Gateway testing)

Role overview

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
  • Experience testing LLM agent workflows, including tool calling and multi-step reasoning
  • Expertise in security testing for authorization and authentication

Responsibilities

  • Design and execute test suites for agentic workflows
  • Validate MCP protocol behavior
  • Verify agent authorization mechanisms
  • Conduct agent performance testing

Key facts

Hard skills

Other skills

  • Collaboration

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

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.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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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)

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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