Software Test Automation Engineer (Jaipur, India) ThoughtsWin Gen AI Engineer Job Description Job Summary: Key Responsibilities: Design, develop, and execute automated test scripts using Python, Pytest, and Selenium WebDriver. Develop mobile test automation using Appium for Android and iOS platforms. Collaborate with developers, product managers, and other QA engineers to ensure comprehensive test coverage. Contribute to building and maintaining CI/CD pipelines to automate the testing process (using tools like GitHub Actions, Jenkins, or Azure DevOps). Perform functional, regression, integration, system, and smoke testing to validate product features and performance. Participate in Agile ceremonies, including sprint planning, reviews, and retrospectives. Manage test plans, test cases, test data, and maintain test requirement traceability. Track and manage defects using tools like JIRA or Azure DevOps, ensuring a thorough bug lifecycle. Contribute to QA process improvements, maintain documentation, and ensure best testing practices. Required Skills and Qualifications: 3+ years of experience in software testing with a strong focus on automation. Proficient in Python and Pytest for writing automated tests. Experience with Selenium WebDriver and Selenium IDE. Experience in mobile automation using Appium. Solid knowledge of SQL for database validation and data verification. Understanding of CI/CD processes and integration with automation frameworks. Hands-on experience with Git and source control best practices. Solid understanding of testing methodologies (SDLC, STLC) and QA best practices. Preferred Skills (Good to have): Experience with Selenium Grid for distributed testing. Familiarity with Load Testing tools like JMeter. ISTQB or other QA certifications. Experience working with cloud-based testing infrastructure (e.g., BrowserStack, Sauce Labs). Exposure to behavior-driven development (BDD) frameworks like Cucumber. ThoughtsWin Systems, Jaipur, India Join Our Team We are looking for passionate and innovative individuals ready to make a meaningful impact. Our collaborative and inclusive work environment values your ideas and fosters professional growth. Be part of a dynamic team that celebrates success and strives for excellence in every endeavor. Shape the future with us explore our diverse range of roles and embark on a rewarding journey.
Data Architect (8+ years in data architecture) Job Summary: We are seeking a skilled Data Architect to lead the design and delivery of innovative, scalable data solutions that power our business. With deep expertise in Databricks and cloud platforms like Azure and AWS, you will architect high-performance data systems and drive impactful analytics. If you thrive on solving complex data challenges, this is your chance to shine. Key Responsibilities: Design scalable data lakes, warehouses, and real-time streaming architectures. Build and optimize data pipelines and Delta Lake solutions using Databricks (Spark, Workflows, SQL Analytics). Develop cloud-native data platforms on Azure (Synapse, Data Factory, Data Lake) and AWS (Redshift, Glue, S3). Create and automate ETL/ELT workflows with Apache Spark, PySpark, and cloud tools. Design and implement robust data models (e.g., dimensional, normalized, star schemas) to support analytics and reporting. Leverage big data technologies (Hadoop, Kafka, Scala) for large-scale processing. Ensure data governance, security, and compliance with standards like GDPR and HIPAA. Optimize Spark workloads and storage for peak performance. Collaborate with engineering, analytics, and business teams to align data solutions with organizational goals. Required Skills & Qualifications: 8+ years in data architecture, engineering, or analytics roles. Hands-on experience with Databricks (Delta Lake, Spark, MLflow, pipelines). Expertise in Azure (Synapse, Data Lake, Data Factory) and AWS (Redshift, S3, Glue). Strong coding skills in SQL, Python OR Scala. Experience with NoSQL (e.g., MongoDB), streaming (e.g., Kafka) Knowledge of data governance and compliance best practices. Excellent problem-solving and communication skills, with a knack for cross-team collaboration. 2. Senior Backend Developer (4-5 years' experience) Industry: AI/Technology Job Summary: We are looking for a Senior Backend Developer to lead the design and implementation of our core agentic framework. This role is perfect for a highly skilled developer who is passionate about high-performance backend solutions, distributed systems, and API development. As part of our team, you will work on cutting-edge AI architectures, developing advanced tools, agents, and scalable backend services that power next-generation AI-driven solutions. Key Responsibilities: Architect & develop the core agentic framework with tools and agents. Build backend services for drag-and-drop modules and workflow scheduling. Provide boilerplates and development guidance for tools and agent creation. Implement caching strategies and optimize performance for complex workflows. Conduct code reviews, enforce best practices, and mentor junior developers. Ensure scalability, security, and reliability of backend systems using Kubernetes and cloud-native architectures. Required Skills & Qualifications: 4-5 years of backend development experience, preferably in AI-based systems. Strong expertise in Python and FAST API for high-performance backend services. Experience with OpenAPI standards for API documentation. Proficiency in Kubernetes & GitOps for managing infrastructure as code. Deep understanding of PostgreSQL database management and Redis caching techniques. Hands-on experience with message queue systems like RabbitMQ, Celery. Familiarity with ELK stack for logging, monitoring, and debugging. Strong knowledge of workflow automation, microservices, and distributed computing. Ability to work independently while collaborating with cross-functional teams in a remote environment. Preferred Skills (Good to Have): Experience in developing agentic AI architectures. Knowledge of serverless computing and event-driven architectures. Exposure to cloud platforms (AWS, Azure, or GCP) for scalable deployment. Familiarity with real-time data processing and AI model integration. Why Join Us? Work on cutting-edge AI architectures and backend innovations. Opportunity to lead backend development and shape AI-driven solutions. Competitive salary, remote flexibility, and a collaborative work environment.
Jaipur || Hybrid 5-6 years of backend development preferably in AI-based systems . Design, develop & maintain scalable backend systems using Python, FAST API & microservices architecture with Azure Cloud, MySQL & Celery, Kubernetes & GitOps.
Position: Cloud Architect Location: Jaipur/Hybrid Experience: 8+ years Role Overview: Drive the technical architecture, deployment, and optimization of advanced cloud platforms (Azure/AWS/GCP) for enterprise analytics, AI/ML workloads, and mission-critical systems. Champion best practices in automation, security, and performance across complex multi-cloud and hybrid environments. Key Technical Responsibilities: Architect and implement scalable cloud-native solutions using microservices, containers (Docker, Kubernetes/AKS/EKS/GKE), serverless (Azure Functions, AWS Lambda), and event-driven patterns. Design robust virtual network architectures, including VNET peering, private endpoints, VPN/ExpressRoute/Direct Connect, NSGs, firewalls, and application gateways. Build and optimize CI/CD pipelines for cloud infrastructure and application deployment (using Azure DevOps, GitHub Actions, Jenkins, Terraform, ARM, CloudFormation). Integrate and secure Identity & Access Management (Azure AD, IAM, SSO, RBAC, Key Vault/Secrets Manager). Develop policies and guardrails for cloud cost management, tagging, and resource governance (Azure Policy, AWS Config). Lead cloud migration and modernization projectsassess existing infra, design migration blueprints, and execute workload lift-and-shift/refactor strategies. Automate monitoring, alerting, and logging solutions (Azure Monitor, Log Analytics, Prometheus, Grafana, CloudWatch). Design resilient backup, disaster recovery, and geo-redundancy solutions using native cloud services. Troubleshoot distributed systems, network, security, and performance issues at scale. Document architectural decisions, create HLD/LLD artifacts, and provide technical mentorship to DevOps, platform, and engineering teams. Requirements: Bachelors /master's in computer science, Engineering, or related. Certifications: Azure Solutions Architect Expert or AWS/GCP equivalent. Hands-on expertise in architecting multi-cloud/hybrid cloud solutions. Proven experience with networking, security, identity, monitoring, backup, and disaster recovery in cloud. Strong communication and documentation skills.
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