Software Engineer

Exp-3-7 years Role Summary We are looking for a highly skilled QA Engineer specializing in AI-enabled systems, intelligent automation, and enterprise AI validation. The role involves testing AI-native applications, AI agents, orchestration workflows, cloud-integrated systems, and AI-assisted SDLC solutions across multiple delivery tracks including CGS, SDS, ETL, modernization, APIs, cloud-native systems, and legacy platforms. The ideal candidate should possess strong expertise in AI testing strategies, automation frameworks, cloud-native testing, API validation, AI harness creation, and scalable deployment validation. Key Responsibilities • Design and execute testing strategies for AI-native applications, AI agents, and enterprise AI workflows. • Build AI testing harnesses and automated validation frameworks for LLM-based systems. • Validate RAG pipelines, prompt flows, agent orchestration, APIs, and enterprise integrations. • Perform functional, integration, regression, security, and performance testing for AI-enabled systems. • Validate AI agent behavior, hallucination risks, guardrails, prompt responses, and orchestration reliability. • Work with AI-assisted testing ecosystems including Amazon Q Developer, AWS Kiro/Cairo, GitHub Copilot, Claude, OpenAI, and related tools. • Support testing and validation of scalable deployments across Docker, Kubernetes, and cloud-native environments. • Collaborate with developers, architects, DevOps teams, and business stakeholders to ensure production readiness. • Support continuous testing within Azure DevOps/GitHub CI/CD pipelines. • Drive observability, logging validation, monitoring validation, and runtime issue analysis for AI workloads. Required Technical Skills AI & Automation Ecosystem • Hands-on exposure to: • AWS Bedrock • Amazon Q Developer • AWS Kiro/Cairo • Claude/OpenAI ecosystems • GitHub Copilot • Understanding of: • AI agents • RAG architectures • Prompt engineering • Vector databases • LangChain/LangGraph • AI orchestration workflows QA & Automation Expertise • Strong experience in: • API testing • Automation testing • Functional testing • Regression testing • Integration testing • Data validation • Hands-on with: • Postman • SoapUI • SQL • Python • AI testing harnesses • Test automation frameworks Cloud & Platform Knowledge • Understanding of: • AWS cloud ecosystem • Docker containerization • Kubernetes orchestration • CI/CD pipelines • Azure DevOps • GitHub Actions • Cloud-native deployments Security & Governance • Understanding of: • IAM/security concepts • AI guardrails • Prompt security • Enterprise governance • Runtime monitoring and observability Mandatory Practical Experience • Must demonstrate hands-on testing experience for AI-enabled enterprise applications and AI agents. • Experience validating AI workflows, orchestration pipelines, and enterprise integrations. • Must have worked on automation-heavy delivery environments and AI-assisted SDLC ecosystems. • Experience validating scalable deployments across containerized/cloud-native environments. • Strong troubleshooting, analytical, and stakeholder communication capabilities. • High learning agility with ability to rapidly adapt to evolving AI ecosystems and enterprise technology stacks.