
Attaching the Job description for reference -
Role : Automation Tester
EXP : 5+ yrs
Mode : WFO
Location : Coimbatore
Role Description
As an Automation Cloud QA Engineer, you will be responsible for designing, implementing, and executing automated tests for cloud-based applications. You will work closely with the development and DevOps teams to ensure the quality and reliability of software releases in a cloud environment. The ideal candidate will have a strong background in test automation, cloud technologies, and a deep understanding of quality assurance best practices.
Automation QA Engineer Responsibilities:
Automated Testing:
· Design, develop, and maintain automated test scripts for cloud-based applications using industry-standard tools and frameworks.
· Implement end-to-end test automation to validate system functionality, performance, and scalability.
Cloud Testing:
· Perform testing on cloud platforms (e.g., AWS, Azure, Google Cloud) to ensure applications function seamlessly in a cloud environment.
· Collaborate with DevOps teams to ensure continuous integration and deployment pipelines are robust and reliable.
Test Strategy and Planning:
· Contribute to the development of test strategies, test plans, and test cases for cloud-based applications.
· Work with cross-functional teams to define and implement quality metrics and standards.
Defect Management:
· Identify, document, and track defects using established tools and processes.
· Collaborate with developers and product teams to ensure timely resolution of issues.
Performance Testing:
· Conduct performance testing to identify and address bottlenecks, ensuring optimal application performance in a cloud environment.
Collaboration
· Work closely with development teams to understand system architecture and functionality.
· Collaborate with cross-functional teams to promote a culture of quality throughout the development lifecycle.
Requirements And Skills:
· Bachelor's degree in Computer Science, Engineering, or a related field.
· Proven experience as a QA Engineer, with a focus on automation and cloud technologies.
· Strong programming skills in languages like Python, Java, or other scripting languages.
· Experience with cloud platforms such as AWS, Azure, or Google Cloud.
· Proficiency in using automation testing frameworks (e.g., Selenium, JUnit, TestNG), Selenium is preferred.
· Solid understanding of software development and testing methodologies.
· Excellent problem-solving and analytical skills.
· Strong communication and collaboration skills.
· Maintain documentation for test environment
Regards
Divya

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Overview:
We're looking for a Full Stack Developer with strong backend expertise who can build,
manage, and scale AI-driven products end to end. You'll play a critical role in designing
scalable architectures, optimizing performance and cost, and building robust AI and agentic
systems.
Responsibilities
1. Architect and build scalable backend systems using FastAPI, PostgreSQL, and Redis.
2. Design, develop, and maintain AI-driven applications, integrating multiple LLMs, APIs,
and agentic frameworks.
3. Implement vector databases (pgvector, Qdrant, etc.) for RAG and AI memory systems.
4. Orchestrate multi-agent AI systems with LangChain/LangGraph, including function
calling, agent collaboration, and monitoring.
5. Build and integrate RESTful APIs for frontend and external use.
6. Manage DevOps workflows, including CI/CD, cloud deployments (AWS/GCP), server
scaling, and logging/monitoring (Sentry).
7. Optimize application cost, latency, and reliability, balancing speed with LLM call
efficiency and caching strategies.
8. Collaborate with product, design, and AI teams to translate business requirements into
high-performing tech.
9. Maintain documentation and ensure code quality with tests, reviews, and async-first
architecture.
10. Contribute to frontend development (React + TypeScript) when necessary, ensuring
seamless API integration and data visualization.
Requirements
Core Skills
• Strong proficiency in Python and FastAPI.
• Experience with PostgreSQL (including pgvector) and SQLAlchemy (async).
• Solid understanding of Redis, RQ (Redis Queue), and caching mechanisms.
• Proven experience integrating LLMs and AI APIs (OpenAI, Anthropic, etc.).
• Hands-on experience with LangChain / LangGraph, RAG pipelines, and agent
orchestration.
• Experience working with cloud platforms (AWS / GCP) and managing file storage (S3).
• Familiarity with frontend stacks (React, TypeScript, Tailwind, Zustand).
• Working knowledge of DevOps: Docker, CI/CD pipelines, deployment automation, and
observability tools (Sentry, Mixpanel, Clarity).
Bonus / Nice to Have
• Experience building agent monitoring dashboards or AI workflows.
• Prior experience in startup or product-based environments.
• Understanding of LLM cost optimization, token management, and function calling
orchestration.
• Familiarity with external API integrations like BrightData, Hunter.io, Adzuna, and Serper.
• Experience building scalable AI products (e.g., chatbots, AI copilots, data agents, or
automation tools).
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• Deep curiosity about AI systems and automation.
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• Pragmatic and cost-conscious in architectural decisions.
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We speak mainly in javascript and golang, though we are open to engineers with different backgrounds and languages








