We are looking for a highly skilled QA Lead with a strong background in manual testing, team leadership, and mobile testing. The ideal candidate will have proven experience managing teams of 8-10 manual QA engineers and be comfortable with scripting . This role will require hands-on involvement in testing while leading the team and ensuring the quality of the product through rigorous test planning, execution, and reporting. Key Responsibilities: Lead a team of manual QA engineers , providing guidance, mentoring, and fostering a collaborative environment. Oversee and manage the manual testing activities for Web & mobile applications and other platforms. Ensure effective test planning, strategy, execution, and reporting for all types of tests, including functional, regression, integration, and acceptance testing. Work with product owners, developers, and business analysts to ensure comprehensive test coverage. Ensure that all test cases are created, executed, and tracked in JIRA and other test management tools. Collaborate with other teams (development, product, DevOps, etc.) to identify and resolve issues quickly. Lead daily stand-ups, sprint reviews, and retrospectives in alignment with Agile processes. Monitor and track the progress of the QA team, ensuring that sprints are completed on time and with high quality. Provide detailed defect reports and track them through resolution. Take ownership of test results and ensure effective root cause analysis of defects. Conduct performance and load testing as needed and ensure application stability. Act as the Subject Matter Expert (SME) for all features of the application and manual testing, providing thought leadership to the team. Technical Skill Requirements: Proven experience with web and mobile manual testing . Proven experience in API testing Familiarity with Databases like MySQL, Oracle, and MongoDB. Strong knowledge of JIRA , Postman , SQL , and other QA tools. Experience with performance and load testing . Strong knowledge of Agile Scrum practices and experience working in Agile teams . Experience with test automation is a plus. Scripting knowledge (e.g., Python, JavaScript, Shell scripting) would be beneficial. Good understanding of mobile testing frameworks (e.g., Appium, Espresso, or similar). Team & Project Management: Proven experience in managing teams of a large size . Excellent leadership, coaching, and mentoring skills. Ability to work closely with cross-functional teams, including developers, product managers, and business analysts. Ability to manage multiple testing projects in parallel, ensuring deadlines and quality targets are met. Take a proactive approach to identify potential bottlenecks, resolve conflicts, and maintain high morale within the team. Soft Skills: Strong communication skills with the ability to interact with stakeholders at all levels. Detail-oriented, with the ability to identify issues and risks quickly. Strong problem-solving and decision-making skills. Ability to thrive in a fast-paced, dynamic environment. Highly accountable, with a focus on quality and continuous improvement. Good to Have: Certification in ISTQB or similar quality assurance qualifications. Familiarity with cloud platforms like AWS or Azure. Experience with CI/CD tools and DevOps processes.

ideyaLabs is seeking a skilled and motivated Lead- IT Infrastructure to join our dynamic team in Hyderabad. This role is crucial in ensuring the stability, security, and optimal performance of our IT infrastructure, which supports a wide array of IT services, with a strong focus on emerging technologies like AI/ML and blockchain, to help businesses across various industries with our digital transformation and product development needs. The ideal candidate will have a strong technical background in managing and maintaining various IT systems and a proactive approach to problem-solving. Minimum experience: 5 -9 years Responsibilities Responsible for supporting the company s Windows and Linux servers, Active Directory, Office 365, VMware virtual environment, and storage infrastructure. Ticket management and end to end ownership of tickets Work closely with the other Infrastructure teams to improve SLAs, ticket resolution times, and gain knowledge of the company s systems Handle daily support for all areas of Infrastructure. Change request implementation for standard\common change Creation of new virtual machines, groups, user accounts Monitor and handle access control to internal systems Remediating security vulnerabilities and other findings as necessary Monitor the ticket queue to ensure SLAs are met Assist as necessary with any other assigned duties that may arise Qualifications Demonstrated understanding of complex problem-solving techniques dealing with infrastructure support. Experience with some of the following areas / concepts: Windows Server and Linux operating systems Active Directory (maintenance, group policy, permissions) VM server creation Enterprise storage systems Physical server class hardware Data center operations System monitoring and administration tool sets - VCenter, ADUC, storage management tools, etc. An understanding of networking and administration Basic understanding of DNS Used some security tools and software - anti-virus, anti-malware, patch management Creating\deleting accounts in Microsoft Office 365 Some experience with Active Directory and/or Azure Active Directory Other Skills: Industry recognized certifications (Microsoft, Azure, AWS, VMWare etc) highly desirable Experience with Sophos antivirus and Firewall Reasonable level of experience with automation and/or scripting A strong desire to make a difference. Able to set objectives, meet deadlines and work under pressure in a fast-moving business Excellent interpersonal and communication skills. Has broad perspective and understanding of business and trends in the marketplace; is current on business and industry trends. Has a holistic approach to business; understands his/her own area of expertise and how it applies to the good of the group/business. Excellent organizational and project management skills. Strong problem-resolution skills Must be detail-oriented and a team player.

ideyaLabs is seeking a talented and innovative Generative AI Engineers with experience in leveraging Low-Code/No-Code (LCNC) platforms. This unique role will be at the forefront of developing and deploying cutting-edge generative AI models while utilizing LCNC tools to accelerate prototyping, integration, and application development. The ideal candidate will possess a strong understanding of generative AI techniques, proficiency in programming, and a passion for exploring the synergy between AI and rapid application development. Responsibilities: Generative AI Model Development & Deployment: Design, develop, train, and evaluate generative AI models for various applications (e.g., text generation, image synthesis, code generation, synthetic data generation). Implement and optimize generative AI models using relevant frameworks (e.g., TensorFlow, PyTorch, Transformers). Deploy and scale generative AI models on cloud platforms (e.g., AWS, Azure, GCP) or on-premise infrastructure. Stay up-to-date with the latest advancements in generative AI research and techniques. Low-Code/No-Code Platform Utilization: Utilize LCNC platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy) to rapidly prototype and build applications that integrate with generative AI models. Develop user interfaces and workflows using LCNC visual development tools. Connect generative AI APIs and services to LCNC applications. Build and deploy data connectors and integrations between various systems using LCNC capabilities. Integration & Application Development: Design and implement robust APIs and integration strategies to connect generative AI models with other systems and applications. Collaborate with software engineers and data scientists to build end-to-end AI-powered solutions. Develop and maintain documentation for AI models, LCNC applications, and integration processes. Experimentation & Innovation: Research and experiment with new generative AI models, LCNC platforms, and integration techniques. Evaluate the feasibility and potential of applying generative AI to solve specific business problems. Contribute to the development of best practices and guidelines for using generative AI and LCNC tools. Collaboration & Communication: Work closely with cross-functional teams, including product managers, designers, and business stakeholders. Communicate technical findings and progress effectively to both technical and non-technical audiences. Participate in code reviews and knowledge-sharing activities. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 3 + years of experience in developing and deploying machine learning models, with a focus on generative AI. Proven experience working with at least one or more Low-Code/No-Code development platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy). Experience in building and consuming APIs (RESTful, etc.). Technical Skills: Strong programming skills in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers). Solid understanding of deep learning concepts and architectures relevant to generative models (e.g., GANs, VAEs, Diffusion Models, Transformers). Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Understanding of database concepts and SQL. Proficiency in using visual development tools and integration capabilities of LCNC platforms. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to learn quickly and adapt to new technologies. Proactive and self-motivated with a strong sense of ownership. Passion for innovation and exploring the potential of generative AI. Preferred Qualifications: Experience with specific generative AI applications relevant to our industry (e.g., content generation, synthetic data). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Certifications in relevant AI/ML or LCNC platforms.

We are seeking a passionate and driven Generative AI Engineer to design, develop, and deploy innovative AI applications using Large Language Models (LLMs). The ideal candidate will have hands-on experience with prompt engineering, Python programming, and foundational knowledge of AI orchestration frameworks like LangChain and LangGraph. Experience with the Model Context Protocol (MCP) is a significant advantage. You will work closely with senior AI engineers and cross-functional teams to bring cutting-edge generative AI solutions to life Role & responsibilities Generative AI Application Development: Design, build, and deploy AI applications leveraging LLMs for various use cases such as RAG (Retrieval-Augmented Generation) based chatbots, intelligent agents, content generation, and more. Prompt Engineering: Develop, test, and optimize advanced prompt engineering techniques (e.g., few-shot, Chain-of-Thought, ReAct) to enhance LLM performance, accuracy, and user experience. LLM Orchestration with LangChain & LangGraph: Utilize LangChain and LangGraph to build robust, stateful, and multi-agent AI systems, managing complex conversational flows and integrating external tools and data sources. Python Development: Write clean, efficient, and well-documented Python code for AI model integration, data preprocessing, API development, and general application logic. Model Context Protocol (MCP): Implement and leverage MCP for seamless interaction between LLMs and external systems, ensuring efficient context management and secure communication (if applicable to project needs). Model Evaluation & Testing: Assist in evaluating the performance of generative AI models, defining relevant metrics, and conducting rigorous testing to ensure reliability and effectiveness. Collaboration: Work collaboratively with data scientists, machine learning engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Research & Innovation: Stay updated with the latest advancements in generative AI, LLMs, and related frameworks, and actively experiment with new approaches to improve existing solutions. Deployment & MLOps (Basic): Contribute to the deployment of AI models and understand basic MLOps practices for model versioning, monitoring, and continuous improvement. . Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related quantitative field. 1-3 years of hands-on experience in machine learning, software development, or data science, with exposure to AI/ML projects. Strong proficiency in Python programming and familiarity with relevant libraries (e.g., NumPy, Pandas). Proven experience with LangChain for building LLM-powered applications and chaining together various components. Familiarity with LangGraph for orchestrating complex, stateful multi-agent workflows. Hands-on experience with prompt engineering and optimizing prompts for LLMs. Understanding of Large Language Models (LLMs) and their underlying concepts. Experience or strong understanding of Model Context Protocol (MCP) for connecting LLMs with external tools and data sources. Excellent problem-solving skills and a proactive approach to challenges. Strong communication and interpersonal skills, with the ability to articulate technical concepts clearly.) Preferred Skills : Experience with cloud platforms (Azure, AWS, GCP) for deploying AI/ML solutions. Microsoft Certified: Azure AI Engineer Associate (AI-102) or similar AI/ML certification. Familiarity with vector databases (e.g., Pinecone, Chroma, FAISS). Experience with deep learning frameworks such as TensorFlow or PyTorch. Knowledge of Natural Language Processing (NLP) techniques beyond LLMs. Experience in building conversational AI systems or chatbots

ideyaLabs is seeking a highly skilled and motivated DevOps Lead to drive our CI/CD pipelines, infrastructure automation, and cloud operations. The ideal candidate will lead a team of DevOps engineers and collaborate closely with development, QA, and IT teams to enhance our deployment processes, scalability, and system reliability. Key Responsibilities- Lead and mentor a team of DevOps engineers to deliver scalable and secure infrastructure. Design, build, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, GitHub Actions, etc. Architect and automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi. Manage and optimize cloud infrastructure (AWS/Azure/GCP) to ensure high availability and performance. Implement monitoring, logging, and alerting systems using tools like Prometheus, Grafana, ELK, Datadog, or New Relic. Champion DevSecOps practices and integrate security at every stage of the DevOps lifecycle. Collaborate with software development teams to ensure smooth deployments and fast recovery from incidents. Define and enforce SRE/DevOps best practices, SLAs, and disaster recovery procedures Continuously evaluate emerging tools and technologies to improve system efficiency and team productivity. Required Skills & Qualifications Bachelor's or Master's in Computer Science, Engineering, or related field. Proven experience leading DevOps/SRE/Platform teams. Strong expertise in cloud platforms (AWS, Azure, or GCP). Proficient with containerization and orchestration (Docker, Kubernetes, Helm). Hands-on experience with IaC and configuration management tools (Terraform, Ansible, Chef, Puppet). Excellent scripting skills (Python, Bash, or Go preferred). Familiarity with GitOps and modern release strategies (Blue/Green, Canary deployments) Deep understanding of network, system, and security principles. Having an understanding of PCI DSS and SOC 2 procedures. Strong communication and stakeholder management skills. Preferred Qualifications Certifications like AWS Certified DevOps Engineer, CKAD/CKA, Azure DevOps Expert. Experience with service mesh technologies (Istio, Linkerd).- Exposure to FinOps or cost optimization practices in the cloud

ideyaLabs is seeking a highly skilled and motivated DevOps Lead to drive our CI/CD pipelines, infrastructure automation, and cloud operations. The ideal candidate will lead a team of DevOps engineers and collaborate closely with development, QA, and IT teams to enhance our deployment processes, scalability, and system reliability. Key Responsibilities- Lead and mentor a team of DevOps engineers to deliver scalable and secure infrastructure. Design, build, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, GitHub Actions, etc. Architect and automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi. Manage and optimize cloud infrastructure (AWS/Azure/GCP) to ensure high availability and performance. Implement monitoring, logging, and alerting systems using tools like Prometheus, Grafana, ELK, Datadog, or New Relic. Champion DevSecOps practices and integrate security at every stage of the DevOps lifecycle. Collaborate with software development teams to ensure smooth deployments and fast recovery from incidents. Define and enforce SRE/DevOps best practices, SLAs, and disaster recovery procedures Continuously evaluate emerging tools and technologies to improve system efficiency and team productivity. Required Skills & Qualifications Bachelor's or Master's in Computer Science, Engineering, or a related field. Proven experience leading DevOps/SRE/Platform teams. Strong expertise in cloud platforms (AWS, Azure, or GCP). Proficient with containerization and orchestration (Docker, Kubernetes, Helm). Hands-on experience with IaC and configuration management tools (Terraform, Ansible, Chef, Puppet). Excellent scripting skills (Python, Bash, or Go preferred). Familiarity with GitOps and modern release strategies (Blue/Green, Canary deployments) Deep understanding of network, system, and security principles. Having an understanding of PCI DSS and SOC 2 procedures. Strong communication and stakeholder management skills. Preferred Qualifications Certifications like AWS Certified DevOps Engineer, CKAD/CKA, and Azure DevOps Expert. Experience with service mesh technologies (Istio, Linkerd).- Exposure to FinOps or cost optimization practices in the cloud

We are looking for a Senior .NET Developer with strong expertise in building scalable APIs and cloud-native solutions using AWS. This role focuses on logistics/transportation systems and requires leadership, mentoring, and hands-on development across modern .NET technologies. Looking for immediate joiners Key Technical Skills : Languages/Frameworks: C#, .NET Core, ASP.NET Core Web API Data Access: Entity Framework Core, LINQ, Dapper (Micro-ORM), PostgreSQL Cloud: AWS (Lambda, S3, SQS/SNS, X-Ray, Secrets Manager) Architecture: Clean Architecture, SOLID principles, Microservices Testing/Dev Tools: xUnit, Swagger, Git, Fluent Validation, Serilog Security: CORS, API Versioning, Secure Coding Practices Responsibilities: Design and develop high-performance APIs and microservices Build and deploy cloud-native apps using AWS services Lead code reviews, enforce clean code and architecture principles Mentor junior developers and foster best practices • Collaborate on requirement analysis, planning, and estimation Maintain documentation, ensure test coverage and system reliability Preferred Experience & Domain : 34 years of hands-on experience in .NET development 2+ years working with AWS cloud infrastructure Experience in logistics or transportation domains (preferred) Technical leadership or mentoring background Soft Skills: Excellent problem-solving and debugging skills Strong communication and collaboration abilities Experience in planning, estimation, and project execution Passion for knowledge sharing and team growth Education & Certifications: Bachelors degree in Computer Science or related field Preferred: AWS or Microsoft .NET certifications

Role & responsibilities We are seeking a dynamic and results-oriented Marketing Lead/Manager to spearhead all aspects of our web lead generation efforts. This role will be crucial in driving qualified traffic to our website, nurturing leads, and ultimately converting them into paying customers. The ideal candidate will be a data-driven marketer with a proven track record of success in B2B lead generation campaigns. Key Responsibilities: Develop and execute comprehensive digital marketing strategies to drive website traffic and generate high-quality leads. Manage and optimize all digital marketing channels , including: Search Engine Optimization (SEO): On-page and off-page optimization, keyword research, competitor analysis. Search Engine Marketing (SEM): Paid search campaigns (Google Ads, etc.), campaign optimization, and budget management. Social Media Marketing (SMM): Organic and paid social media campaigns on relevant platforms (LinkedIn, Twitter, etc.). Content Marketing: Develop and publish high-quality, engaging content (blog posts, white papers, case studies, webinars) to attract and nurture leads. Email Marketing: Develop and execute targeted email campaigns for lead nurturing and conversion. Website Analytics & Tracking: Monitor website traffic, track key metrics (e.g., conversion rates, cost per acquisition), and analyze data to optimize campaigns. Build and maintain a strong online presence through social media engagement, online communities, and industry events. Conduct market research to identify target audiences, competitor analysis, and industry trends. Manage the marketing budget effectively and efficiently. Collaborate with sales and other departments to ensure seamless lead flow and customer acquisition. Stay abreast of the latest digital marketing trends and technologies and continuously improve our marketing efforts. Qualifications: Bachelor's degree in Marketing, Business Administration, or a related field. 7+ years of experience in B2B digital marketing, with a strong focus on lead generation. Proven track record of success in driving website traffic and generating qualified leads. Strong understanding of SEO, SEM, SMM, and content marketing principles. Experience with CRM and marketing automation platforms (e.g., HubSpot, Marketo, Salesforce). Excellent analytical and data-driven decision-making skills. Strong project management and organizational skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team.

We are seeking a dynamic and results-oriented Marketing Head to spearhead all aspects of our web lead generation efforts. This role will be crucial in driving qualified traffic to our website, nurturing leads, and ultimately converting them into paying customers. The ideal candidate will be a data-driven marketer with a proven track record of success in B2B lead generation campaigns. Key Responsibilities: Develop and execute comprehensive digital marketing strategies to drive website traffic and generate high-quality leads. Manage and optimize all digital marketing channels , including: Search Engine Optimization (SEO): On-page and off-page optimization, keyword research, competitor analysis. Search Engine Marketing (SEM): Paid search campaigns (Google Ads, etc.), campaign optimization, and budget management. Social Media Marketing (SMM): Organic and paid social media campaigns on relevant platforms (LinkedIn, Twitter, etc.). Content Marketing: Develop and publish high-quality, engaging content (blog posts, white papers, case studies, webinars) to attract and nurture leads. Email Marketing: Develop and execute targeted email campaigns for lead nurturing and conversion. Website Analytics & Tracking: Monitor website traffic, track key metrics (e.g., conversion rates, cost per acquisition), and analyze data to optimize campaigns. Build and maintain a strong online presence through social media engagement, online communities, and industry events. Conduct market research to identify target audiences, competitor analysis, and industry trends. Manage the marketing budget effectively and efficiently. Collaborate with sales and other departments to ensure seamless lead flow and customer acquisition. Stay abreast of the latest digital marketing trends and technologies and continuously improve our marketing efforts. Qualifications: Bachelors degree in Marketing, Business Administration, or a related field. 7+ years of experience in B2B digital marketing, with a strong focus on lead generation. Proven track record of success in driving website traffic and generating qualified leads. Strong understanding of SEO, SEM, SMM, and content marketing principles. Experience with CRM and marketing automation platforms (e.g., HubSpot, Marketo, Salesforce). Excellent analytical and data-driven decision-making skills. Strong project management and organizational skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team.