3085 Cloud Platforms Jobs

Overview We are seeking a Senior Cloud Engineer to contribute to the development and deployment of secure, scalable cloud-native platforms for digital health solutions. This role requires strong hands-on experience with cloud infrastructure, automation, and DevOps practices. You will collaborate with cross-functional teams to deliver infrastructure components that meet performance, security, and compliance standards. As a senior engineer, you are expected to be hands-on, actively contributing to sprint deliverables, infrastructure provisioning, and CI/CD pipeline development. Key Skills Cloud Platforms: Google Cloud Platform (preferred), plus AWS or Azure Infrastructure as Code (IaC): Terraform, Shell scripting Containers & Orchestration: Docker, Kubernetes DevOps Tools: Azure DevOps (preferred), GitHub Actions, Jenkins Operating Systems: Windows and Linux containerization Networking & Identity: VPC, DNS, IAM, SSO, OAuth Security & Compliance: SAST/DAST tools, encryption, HIPAA, GDPR Monitoring & Logging: Prometheus, Grafana, ELK stack Agile & Collaboration: Jira, Confluence, Scrum practices Responsibilities Deliver infrastructure components across cloud-native workstreams (digital products, data lakes, automation) Implement infrastructure provisioning using Terraform and CI/CD pipelines Collaborate with lead engineers, architects, and vendor teams to ensure secure and scalable environments Participate in code reviews and enforce infrastructure quality standards Optimize cloud environments for performance, reliability, and cost efficiency Stay up to date with cloud technologies and DevOps best practices Support compliance with healthcare regulations and data governance requirements Contribute to agile sprints and product planning activities Qualifications Bachelors degree in Computer Science, Engineering, or related field 3+ years of hands-on experience with GCP (preferred) and either AWS or Azure Proven experience in cloud infrastructure and DevOps implementation Familiarity with healthcare or regulated environments is a plus Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ideal Candidate A technically strong engineer who thrives in agile environments and enjoys solving infrastructure challenges. You are hands-on, proactive, and passionate about building secure platforms that support impact digital health solutions.

Role Overview: You will be joining as a Presales Technical Associate at VE3, a global technology company focused on delivering innovative digital solutions to empower organizations. In this entry-level position, you will work closely with sales and technical teams to provide tailored software development and cloud solutions to clients across various industries. This role offers a great opportunity to gain hands-on experience, develop technical and sales skills, and learn from experienced professionals in a fast-paced environment. Key Responsibilities: - Assist in Technical Consultation: Support the team in guiding clients on software development and cloud solutions, including platforms like AWS, Azure, and Google Cloud. - RFP and Proposal Support: Contribute to the preparation of RFPs, RFIs, and RFQs by collecting information, drafting content, and ensuring accurate submissions. - Solution Design Support: Aid in designing cloud-based solutions that meet customer needs under the supervision of senior consultants. - Client Interaction: Participate in client meetings to understand their technical and business requirements. - Sales Engagement: Assist the sales team in creating presentations, demos, and other client-facing materials. - Research and Analysis: Conduct research on emerging technology trends and competitors to help develop innovative solutions. - Team Collaboration: Work closely with cross-functional teams to learn and contribute to ongoing projects. - Documentation: Create and maintain documentation such as meeting notes, solution blueprints, and process guidelines. Qualifications Required: - Educational Background: Completed a Bachelor's degree in Computer Science, Information Technology, or a related field with 6 months to 2 years of experience. - Basic Technical Knowledge: Familiarity with cloud platforms (AWS, Azure, Google Cloud) is advantageous. Understanding of software development fundamentals or experience with programming languages like Python, Java, or SQL is desirable. - Strong Communication Skills: Excellent verbal and written communication skills with the ability to collaborate effectively in a team setting. - Eagerness to Learn: Demonstrated interest in technology consulting, sales, or cloud solutions with a willingness to learn and adapt. - Problem-Solving Skills: Analytical mindset with the ability to break down complex problems and develop solutions. - Time Management: Ability to manage multiple tasks and meet deadlines in a fast-paced environment. If you are a tech enthusiast looking to kickstart your career in presales consulting and are eager to learn and grow, VE3 offers mentorship from experienced professionals, real-world project experience, flexible working arrangements, and an inclusive workplace culture. Apply now to begin your journey towards becoming a technology expert.,

As a highly skilled Gen AI Engineer with 1 to 3 years of experience and hands-on expertise in building and deploying AI agents, you will be responsible for architecting, developing, and deploying intelligent agents that automate workflows, integrate with APIs and CRMs, and deliver real-time decision-making capabilities. - Design, build, and deploy AI agents using LangChain, LangGraph, OpenAI Assistants, and CrewAI. - Develop modular, scalable pipelines for retrieval-augmented generation (RAG), tool integrations, and multi-agent collaboration. - Integrate agents with databases, CRMs, APIs, and external systems. - Optimize prompt engineering, memory, and context management. - Implement LLM orchestration, error handling, and performance monitoring. - Collaborate with product and business teams to translate requirements into functional AI-driven workflows. - Stay updated on emerging AI frameworks, LLM models, and agent ecosystems. Required Skills & Experience: - Strong proficiency in Python (1+ years professional experience). - Hands-on experience with LangChain, LangGraph, OpenAI Assistants API, and CrewAI. - Proven track record of building and deploying AI agents in production. - Deep understanding of LLM concepts: embeddings, vector databases, RAG pipelines, prompt engineering. - Experience with API integration (REST, GraphQL, webhooks). - Familiarity with cloud platforms (AWS, GCP, or Azure). - Strong problem-solving and debugging skills. Nice-to-Have: - Experience with FastAPI for serving AI endpoints. - Knowledge of vector databases (Pinecone, Weaviate, Chroma, FAISS). - Exposure to multi-agent systems and orchestration frameworks. - Prior work on enterprise AI solutions (chatbots, automation agents, sales/marketing AI, etc.). - Contribution to open-source AI frameworks. In this role, you will have the opportunity to work on cutting-edge AI agent technologies in a collaborative environment with an AI-first mindset. The company offers a competitive salary, performance-based incentives, flexibility in working hours, and project ownership. Location: On-site (Ahmedabad, Gujarat) Employment Type: Full-time,

As a Generative AI Developer, your role will involve designing, building, and deploying solutions powered by Large Language Models (LLMs), multimodal AI, and prompt engineering. You will collaborate closely with product and engineering teams to integrate GenAI capabilities into real-world applications such as chatbots, copilots, content generation, and intelligent automation. Key Responsibilities: - AI/ML Development: - Fine-tune and optimize LLMs (GPT, LLaMA, Claude, etc.) for specific business use cases. - Build and deploy GenAI-powered applications like chatbots, copilots, summarization, Q&A systems, and generative content. - Experiment with multimodal AI involving text, image, audio, and video. - Prompt Engineering & Orchestration: - Design effective prompts and workflows to maximize model performance. - Work with frameworks like LangChain, LlamaIndex, and Haystack for retrieval-augmented generation (RAG). - Backend & Integration: - Develop APIs and services to integrate GenAI models into existing platforms. - Connect AI with structured and unstructured data sources. - Cloud & Deployment: - Deploy models on AWS, Azure, or GCP (SageMaker, Vertex AI, Azure OpenAI). - Implement scalable and cost-efficient inference pipelines. - MLOps & Performance: - Monitor AI models in production including latency, accuracy, and hallucination rates. - Implement continuous training, evaluation, and improvement workflows. Required Skills & Qualifications: - Strong programming skills in Python (Node.js/Java is a plus). - Hands-on experience with GenAI/LLMs (OpenAI, Anthropic, Hugging Face, Cohere, Stability AI). - Familiarity with LangChain, LlamaIndex, and RAG pipelines. - Knowledge of NLP, embeddings, vector databases (Pinecone, Weaviate, Milvus, FAISS). - Experience with cloud platforms (AWS, Azure, GCP) and deployment of ML models. - Understanding of prompt design, fine-tuning, and model evaluation. - Solid grasp of APIs, microservices, and REST/GraphQL integrations. Preferred: - Experience with multimodal models (text-to-image, speech-to-text, etc.). - Exposure to containerization and orchestration (Docker, Kubernetes). - Knowledge of data privacy, security, and compliance in AI systems. - Prior work in AI-driven SaaS products. In this role, you will have the opportunity to contribute to cutting-edge projects in the field of Generative AI. If you have experience deploying applications or AI models on cloud platforms, familiarity with AI/ML frameworks, and working with CDN platforms for scaling applications, we encourage you to apply for this full-time position.,

As a Senior Machine Learning Engineer at Sarvam AI, you will be responsible for overseeing the orchestration of the end-to-end AI in Media pipeline. Your role will involve combining cutting-edge models, agile workflows, and media-grade quality automation to automate movie and OTT content creation & localization across diverse languages. **Key Responsibilities:** - Own the design and evolution of Sarvam's Media AI pipeline by combining agent-based orchestration, scalable ML integration, and rapid experimentation. - Build and lead the development of production-grade ML pipelines, ensuring robustness, automation, and adaptability to media workflows. - Prototype and deploy agentic systems to automate task sequencing, error handling, and quality evaluation. - Drive continual improvements through prompt engineering, fine-tuning, and metric-driven performance monitoring. - Define pipeline-wide standards for quality, testing, fallback mechanisms, and edge-case handling. - Collaborate with model researchers, infra/platform teams, and product stakeholders to ensure end-to-end reliability. - Provide technical leadership and mentorship across the orchestration and pipeline engineering team. **Technical Expertise:** - 4-7 years of experience in ML/AI engineering. - Hands-on expertise in Generative AI, Python, PyTorch/TensorFlow, MCP, and agent orchestration frameworks. - Proven track record of deploying ML pipelines in production at scale with monitoring and alerts. - Familiarity with ASR/TTS/translation models. - Experience with cloud platforms, containerized deployments, and scalable inference is a plus. **Leadership & Soft Skills:** - Entrepreneurial spirit with hands-on experience in 0-to-1 startup phases. - Proven ability to lead and mentor ML teams. - Strong systems thinking and cross-functional coordination. - Passion for keeping pace with the latest in Gen AI, LLMs, and ML engineering. - Experience working with media/OTT post-production pipelines is a plus.,

As a Senior AI/ML Developer at Capgemini, you will play a crucial role in designing and architecting scalable and efficient generative AI models and systems. Your responsibilities will include: - Developing and implementing generative AI algorithms for various applications, such as text generation, image synthesis, and more. - Collaborating with data scientists, machine learning engineers, Integration engineers, UI Developers, and software developers to integrate AI models into production environments. - Leading the development of AI-powered applications and services, ensuring they meet performance, scalability, and reliability requirements. - Staying updated with the latest advancements in Gen AI, LLMs, Gen AI Frameworks, Cloud technologies, AI, and machine learning, and applying them to improve existing systems and processes. - Providing technical guidance and mentorship to team members and stakeholders. - Conducting research and experiments to push the boundaries of generative AI capabilities. Qualifications required for this role include: - Master's or PhD degree in Computer Science, Engineering, Mathematics, or a related field. - 7+ years of experience in AI/ML development, with a focus on generative models. - Strong proficiency in programming languages such as Python, Java, or C++. - Extensive experience with AI/ML frameworks and libraries like TensorFlow, PyTorch, and Keras. - Proven track record of designing and deploying AI systems in a production environment. - Deep understanding of neural networks, natural language processing, and generative models (e.g., GANs, VAEs, Transformers). - Excellent problem-solving skills and the ability to think critically and creatively. - Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams. - Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes). At Capgemini, you will have the opportunity to shape your career, work on cutting-edge projects in tech and engineering, and create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world while creating tangible impacts for enterprises and society. With a diverse team of over 340,000 members in more than 50 countries, Capgemini has a strong heritage and is trusted by clients worldwide to unlock the value of technology.,

As an experienced Project Manager / Tech Lead Digital with 8-12 years of IT experience, you will play a crucial role in leading enterprise-scale digital initiatives at BigTapp. Your responsibilities will encompass driving end-to-end delivery of projects across Java, React, Mobile Application Development, and Agile Project Management. Your expertise in modern application architecture, stakeholder engagement, and technical leadership will be essential to ensure projects are delivered on time, within budget, and aligned with organizational goals. **Key Responsibilities:** - Lead planning, execution, and delivery of web and mobile application projects. - Collaborate with engineering teams working on Java, React, and mobile applications. - Drive Agile practices including sprint planning, daily stand-ups, and retrospectives. - Ensure alignment with business objectives and delivery of project milestones. - Identify risks and implement effective mitigation strategies. - Provide technical guidance and mentoring to developers. - Ensure adherence to security, compliance, and quality standards. **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, IT, or related field. - PMP, Agile, or Scrum Master certification. - Proficiency in Java, React, REST API-based applications. - Strong knowledge of Mobile App Development frameworks (Android/iOS). - Proficiency with Agile tools (JIRA, Confluence, MS Project). - Familiarity with CI/CD pipelines and DevOps practices. - Exposure to cloud platforms (Azure, AWS, GCP). **Soft Skills:** - Strong leadership and people management skills. - Excellent verbal and written communication. - Problem-solving and decision-making mindset. - Ability to handle multiple projects simultaneously. - High adaptability and innovative thinking. In addition to the above, it is good to have domain knowledge in BFSI and prior experience with Digital Transformation / Mobile-first initiatives. Familiarity with AI/ML integration in applications would also be beneficial. Your work experience should include 8-12 years in IT with at least 4-5 years in project management, specifically leading projects involving Java, React, and Mobile Apps. BigTapp offers a competitive salary, annual performance-based bonuses, comprehensive health and optional parental insurance, as well as optional retirement savings plans and tax savings plans. Your key result areas will include delivering projects in Java, React, and Mobile Applications within agreed timelines and budgets, driving adoption of Agile methodologies, ensuring high-quality delivery aligned with client expectations, and providing leadership and mentoring to technical teams. This opportunity at BigTapp provides a platform for you to showcase your skills, contribute to innovative solutions, and drive successful digital initiatives within a dynamic and collaborative environment.,

As a QA/Support Engineer at Milestone Technologies, you will play a critical role in ensuring the quality and stability of the next-generation B2B eCommerce experience. Your responsibilities will include testing and monitoring a composable, headless architecture built on commerceTools, ContentStack CMS, and a Vercel-hosted frontend (Next.js). You will collaborate closely with developers, product managers, and system integrators in a modern engineering environment. **Role Overview:** In this role, you will be responsible for learning and testing composable eCommerce workflows, executing test plans for the Next.js/Vercel frontend, commerceTools APIs, and integration points with CMS, ERP, WMS, and PIM systems. You will also monitor application logs, respond to reported issues, and contribute to API contract testing across microservices. **Key Responsibilities:** - Create and execute test plans for eCommerce workflows and systems - Monitor application logs and cloud environments to identify and respond to issues - Participate in API contract testing and validate data consistency across systems - Contribute to testing of CI/CD pipelines and deployment verification - Document test cases, defects, and system behavior - Propose and support QA process improvements - Derive test cases and procedures from existing documentation - Follow testing best practices for eCommerce systems **Qualifications Required:** - Bachelor's degree in computer science, Information Systems, or related field - 3-5 years of experience in software QA or support roles - Understanding of eCommerce testing principles - Experience with test case management tools, browser developer tools, and bug tracking systems - Hands-on experience with automation frameworks such as Cypress or Selenium - Familiarity with version control and collaboration/documentation tools - Basic understanding of RESTful APIs and integration testing - Exposure to cloud platforms such as AWS or Azure - Knowledge of commerceTools, Sage X3, Solochain WMS, or similar platforms - Strong communication skills and attention to detail At Milestone Technologies, we are committed to fostering a workplace that values diversity and inclusion. We encourage individuals from diverse backgrounds to bring their unique perspectives and experiences to our global community. Join us in revolutionizing the IT deployment landscape and contributing to our mission of delivering industry-leading innovation to our clients.,

As the Enterprise Full Stack Presales Engineering Manager, your role involves leading presales efforts, designing strategic solutions, and boosting sales growth by aligning client needs with customized software solutions. Your deep technical expertise in software development, cloud technologies, and enterprise architecture, combined with strong business acumen and exceptional communication skills, will be pivotal in collaborating with sales, product, and engineering teams to address complex business challenges effectively. - Lead presales engagements by understanding client requirements and crafting tailored software solutions. - Develop and deliver engaging presentations, demonstrations, and Proof of Concepts (POCs) to showcase the value of custom solutions. - Collaborate with sales teams to drive customer adoption and revenue growth through strategic technology initiatives. - Provide technical guidance in full-stack development, cloud platforms, and enterprise application design to support sales efforts. - Influence product roadmaps by closely working with product and engineering teams based on market needs and customer feedback. - Respond to RFPs/RFIs with well-structured proposals and technical solutions. - Conduct competitive analysis to position custom software offerings effectively in the market. - Ensure seamless integration of custom solutions with clients" existing systems through API development and deployment best practices. In terms of technical skills, you should possess expertise in: - Full-Stack Development: Front-end and back-end technologies including JavaScript (React, Angular, or Vue), Node.js, Java, or .NET. - Cloud Platforms: Experience with AWS, Azure, or Google Cloud for deploying enterprise solutions. - Database Management: Knowledge of SQL, PostgreSQL, MySQL, and NoSQL databases. - Solution Architecture: Ability to design scalable and secure custom software solutions. - API Integration: Strong understanding of REST APIs, GraphQL, SDKs, and enterprise system integration. - DevOps & CI/CD: Experience with containerization (Docker, Kubernetes) and deployment pipelines. Your business and soft skills should include: - Presales & Proposal Writing: Crafting proposals, responding to RFPs/RFIs, and developing POCs. - Client Engagement: Translating business pain points into tailored software solutions. - Presentation & Storytelling: Communicating technical concepts effectively to technical and non-technical stakeholders. - Industry Awareness: Understanding custom software solutions across various industries like finance, healthcare, retail, and manufacturing. - Competitive Analysis: Grasping technology market trends and competitor positioning. - Collaboration & Teamwork: Working closely with sales, product, and engineering teams to ensure successful client engagements. Preferred qualifications for this role include: - Bachelor's/masters degree in computer science, Software Engineering, or a related field. - 7+ years of experience in software development, solution architecture, or presales engineering roles. - Proven track record in leading presales initiatives and driving business growth. - Strong problem-solving skills and ability to manage complex software-driven sales cycles. - Experience with enterprise clients and large-scale software implementations.,

As an award-winning, equal opportunity, and culturally diverse organization, BMC fosters a work environment where giving back to the community is a driving force for continuous improvement. Balancing your priorities is encouraged as we believe that your best work stems from a harmonious work-life integration. Your achievements will be celebrated and acknowledged by our supportive peers who will also inspire and drive you towards success. Key Responsibilities: - Hands-on experience with Prompt Engineering, RAG, LLM Evaluation, and LLM Fine-tuning - Solid understanding of NLP concepts and familiarity with NLP libraries - Writing Python backend APIs using Fast API, Flask, or other frameworks - Knowledge of fine-tuning LLMs including Llama, BERT, and GPT based models - Demonstrating a self-starter attitude and intellectual curiosity - Excellent communication skills to effectively convey predictive analytics to non-technical audience - Proficiency in machine learning frameworks, data exploration techniques, and tools - Familiarity with observability tools, cloud platforms (e.g., OCP, AWS, Azure, GCP), statistical analysis, hypothesis testing, and data visualization techniques - Experience with Agile methodology and use of Atlassian products Jira and Confluence Qualifications Required: - Bachelors degree in computer science, Engineering, or a related field with 8 years of Data Science or a related field experience - Familiarity with machine learning frameworks and libraries - Nice to have: Worked on multiple Gen AI projects, forecasting, predictive modeling, any Azure or AWS Cloud certification, experience with big data technologies (e.g., Hadoop, Spark), and familiarity with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform - Mainframe knowledge is a plus BMC's commitment to its employees is centered around building a culture that values individuality. With a global team of over 6000 brilliant minds, BMC encourages you to be your authentic self and contribute with your unique skills and experiences. If you find alignment with BMC's vision and values but are unsure about meeting all the qualifications, we still encourage you to apply. Diversity in backgrounds and experiences is highly valued at BMC to foster innovation and collaboration. Please note that the salary mentioned is just one aspect of BMC's comprehensive employee compensation package, which may include additional benefits based on your location. BMC ensures fair and transparent compensation practices for all its employees. If you have had a break in your career, BMC welcomes candidates who are looking to re-enter the workforce. To explore opportunities and apply, visit the Returnship Program page at https://bmcrecruit.avature.net/returnship.,

As a Project Manager / Production IT Digital Manufacturing at EDAG Production Solutions India in Gurgaon, you will be responsible for the implementation, extension, and rollout of an existing group MES/MOM system. Your role will involve technical conceptual design, development, and implementation of global systems used in digital manufacturing. You will collaborate on large agile IT projects, design unified architecture frameworks, and contribute to the further development of cloud-based system architecture. Key Responsibilities: - Implement, extend, and rollout an existing group MES/MOM system - Design global systems for digital manufacturing and collaborate between OT and IT security units - Contribute to large agile IT projects and design unified architecture frameworks - Develop cloud-based system architecture and strategic cross-service concepts Qualifications Required: - Completed university studies in technical computer science or general computer science - 5-7 years of experience in functional development of manufacturing operation management systems - Experience in designing IT solutions for the process industry, especially MES and MOM systems - Knowledge of IATF standards and experience in agile requirements engineering - Familiarity with cloud platforms, cloud native technologies, and DevOps practices - Experience in technical management and rollout of MES/MOM systems At EDAG Production Solutions India, we value your skills and expertise, regardless of gender, age, nationality, or religion. If you are ready to take on the challenge of shaping the future of digital manufacturing, we look forward to receiving your application marked "Production IT Digital Manufacturing" via email.,

As a Senior Consultant in Infrastructure Capital Project Management at EY, you will have the opportunity to work on large and small-scale infrastructure programs in sectors such as oil and gas, energy, roads & highways, utilities, or industrial projects. Your role will involve collaborating with clients to deliver innovative solutions and manage capital projects effectively. You will be responsible for project setup, planning, and lifecycle delivery, ensuring quality and budget adherence. Moreover, you will need to integrate data for insights, communicate effectively with stakeholders, and drive continuous process improvement. Key Responsibilities: - Provide strategic and operational consulting support for capital infrastructure programs, including PMO setup, project planning, risk management, cost control, and governance frameworks. - Develop project schedules using tools like Primavera P6 or MS Project, create cost breakdown structures, and track project budgets and financial reporting. - Conduct schedule tracking, critical path analysis, resource & cost management, and develop reports and dashboards for impactful insights. - Develop project risk management plans, perform schedule risk analysis, and ensure adherence to best practices and industry standards. - Support RFP solutioning, content development, and drive go-to-market activities to expand the client network. - Mentor junior team members and conduct learning & development activities in the capital projects domain. Qualifications Required: - Must have experience with Primavera P6, MS Project, PowerBI, EPC phases, schedule delay analysis, and at least two end-end capital project experiences. - Experience in PMO setup, client-facing roles, and excellent articulation and communication skills. - Good to have PMP certification, knowledge of Digital Twin, SAP implementation, BIM, AI technologies, Cloud platforms, and Agile methodology. In addition, EY is committed to building a better working world by creating long-term value for clients, people, and society. With diverse teams in over 150 countries, EY provides trust through assurance and helps clients grow, transform, and operate effectively across various sectors.,

Role Overview: As an AI Engineer, your main responsibility will be to design, develop, and deploy AI and ML models for real-world applications. You will optimize algorithms for performance and scalability, integrate AI solutions into existing systems, and work on NLP, Computer Vision, and Predictive Analytics projects. It is essential to stay updated with the latest AI frameworks, tools, and research trends. Key Responsibilities: - Design, develop, and deploy AI and ML models for real-world applications. - Optimize algorithms for performance and scalability. - Integrate AI solutions into existing systems and workflows. - Work on NLP, Computer Vision, and Predictive Analytics projects. - Stay updated with the latest AI frameworks, tools, and research trends. Qualifications Required: - Proficiency in Python, TensorFlow, PyTorch, or Keras. - Strong understanding of machine learning, deep learning, and data science concepts. - Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus. - Excellent problem-solving and analytical skills. Additional Details: The company offers benefits such as flexible schedule, paid sick time, paid time off, Provident Fund, and work from home option. (Note: The above job description is for an AI Engineer position with 4+ years of experience or freshers with exceptional skills.),

Key Responsibilities Model Development & Optimization Lead the independent design, training, and validation of highly robust, reusable AI/ML models, leveraging and defining best practices for frameworks like Kubeflow, PyTorch, TensorFlow, or HuggingFace. Champion and apply advanced techniques in deep learning, NLP, computer vision, and classical ML, ensuring models are inherently explainable, scalable, and highly performant. Define strategies for and oversee the optimization of models for accuracy, speed, and resource efficiency, providing technical leadership and guidance to ML Data Engineers on deployment readiness. AI/ML System Design Architect complex and resilient AI model systems, effectively translating intricate business use cases into scalable architectures, including defining advanced pre-processing strategies and innovative feature engineering approaches. Drive the architectural vision, ensuring deep alignment between data characteristics, model architecture, and expected system behavior in large-scale production environments. Lead the collaboration with ML Data Engineers to establish and standardize robust integration patterns for embedding AI models into critical downstream workflows. Documentation & Standards Establish, enforce, and maintain comprehensive documentation standards for model assumptions, architecture choices, rigorous evaluation criteria, and recommended usage across the team. Lead the standardization of model development guidelines within the AI team, promoting best practices for reproducibility, traceability, and maintainability across the organization. Stakeholder Collaboration & Delivery Drive the end-to-end scoping, planning, and delivery of major AI features and strategic enhancements within broader data product initiatives, ensuring alignment with business objectives. Serve as a primary technical liaison and trusted advisor, proactively partnering with domain experts, business stakeholders, and functional analysts to iterate on model design, interpret complex results, and influence strategic decisions. Proactively identify opportunities for adaptation and enhancement based on feedback and performance monitoring, ensuring maximum realization of business value. Innovation & Capability Building Spearhead research, evaluation, and adoption of cutting-edge AI/ML methods, tools, and frameworks, assessing their potential to significantly improve our modeling practices and drive competitive advantage. Lead knowledge-sharing initiatives, design and facilitate advanced team learning sessions, establish playbooks, and drive prototyping initiatives to continuously advance the team&aposs and organization&aposs capabilities. Security & Compliance in AI Champion and ensure the rigorous integration of data privacy, access control, and advanced bias mitigation considerations throughout the model design and development lifecycle. Establish and enforce adherence to complex compliance, governance, and interpretability standards relevant to the business context, acting as a subject matter expert. Mentoring & Community Provide advanced technical mentorship, guidance, and code reviews to junior and mid-level AI engineers, fostering their growth in modeling approaches, model evaluation, and development best practices. Actively foster and lead a vibrant knowledge-sharing culture across the AI, data science, and engineering teams, contributing significantly to technical communities through presentations, workshops, and thought leadership. Required Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of extensive experience designing, architecting, and implementing highly impactful AI/ML models in production environments. Mastery of Python development skills, with expert-level familiarity and practical application of ML/DL libraries (e.g., Kubeflow, PyTorch, TensorFlow, scikit-learn) Proven track record of architecting and delivering highly impactful real-world AI solutions across complex use cases, including multi-agent systems, computer vision, natural language processing, and forecasting. Expert-level understanding and practical application of the full model lifecycle, including advanced MLOps practices, versioning, monitoring, and deployment strategies, often setting best practices for others. Exceptional leadership, collaboration, and communication skills, with the ability to articulate complex technical concepts to diverse technical and non-technical audiences, influence strategic decisions, and drive consensus across cross-functional teams. Preferred Skills Deep expertise with transformers, advanced embedding techniques, image recognition, or reinforcement learning. Extensive experience with Docker and designing secure deployments via APIs for seamless inference integration. Advanced understanding of data governance and AI ethics principles, with a focus on practical implementation. Ability to effectively lead and collaborate across highly distributed teams (Europe, US, and India) Extensive familiarity with Cloud platforms, with Google Cloud preferred. Expert understanding of various database technologies (OLTP vs OLAP vs graphs vs blob storage vs ..) and extensive experience working with several of them. What We Offer Opportunities to lead and shape high-impact AI initiatives within a rapidly growing global data organization. A learning-focused environment that champions technical leadership, mentorship, and breakthrough innovation within vibrant technical communities and innovation labs. A collaborative culture that empowers senior engineers to drive ownership, foster clarity, and continuously elevate standards A unique opportunity to lead the development and deployment of cutting-edge AI solutions with significant impact. A collaborative, intellectually stimulating, and innovative work environment in Waregem, Flanders, Belgium. Opportunities for continuous learning, professional growth, and leadership development in the rapidly evolving field of AI. A competitive salary and comprehensive benefits package. The chance to shape the future of AI within the organization and mentor the next generation of AI engineers. Whats In It For You A family atmosphere , people-centric culture, where your emotional and physical well-being matters. A company of great colleagues with a global mindset, where you feel welcomed from day one. A competitive salary , medical insurance for family , retirement benefits Healthy work life balance Internal career opportunities, professional development, including access to LinkedIn Learning and many in-house/external training courses Job security working for a global company with strong presence & commitment in India. PEOPLE ARE AT OUR HEART TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas. About Tvh TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation. Show more Show less

Required Qualifications 8+ years of experience in IT operations, with a minimum of 3 years as an AppDynamics SME . Proven expertise in deploying and managing AppDynamics in hybrid and multi-cloud environments . Strong knowledge of application architectures (microservices, containers, APIs). Hands-on experience with cloud platforms AWS, Azure, GCP. Proficiency in scripting languages (Python, PowerShell, Shell) for automation and integration. Familiarity with DevOps tools (Jenkins, Git, Ansible, Terraform) and observability stacks (Prometheus, Grafana, ELK). Excellent communication, documentation, and stakeholder management skills .

Role Overview: As a GenAI Specialist at Birlasoft, you will be completely hands-on with building applications using GenAI models and frameworks. You will serve as the primary technical expert for GenAI technologies, focusing on enhancing the GenAI footprint across clients by developing, implementing, and optimizing advanced AI models and solutions. Your role will involve defining best practices, standards, and templates for AI solutions, conducting workshops, demos, and client presentations on GenAI use cases, and collaborating closely with cross-functional teams to identify, evaluate, and implement use cases across different customers. Additionally, you will evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities, provide technical leadership and mentorship to teams, and troubleshoot and resolve complex platform integration and functionality issues. Your proactive approach will involve creating blueprints, PoCs, and pilots by independently building quick prototypes and demonstrating them to key decision-makers. Key Responsibilities: - Serve as the primary technical expert for GenAI technologies - Drive innovation and ensure successful integration of AI technologies into IT services for clients - Define best practices, standards, and templates for AI solutions - Conduct workshops, demos, and client presentations on GenAI use cases - Collaborate with cross-functional teams to identify, evaluate, and implement use cases across different customers - Evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities - Provide technical leadership, mentorship, and guidance to teams - Troubleshoot and resolve complex platform integration and functionality issues Qualifications Required: - 10+ years of total IT experience with at least 3-4 years of hands-on experience with AI/Gen AI technologies (OpenAI, Anthropic, Hugging Face, etc.) - Expertise in NLP, NLU, and NLG technologies - Solid understanding of API integrations, backend systems, and data flows - Programming skills in Python, Node.js, Java, or similar languages for API programming - Familiarity with LLMs (Large Language Models), prompt engineering, fine-tuning, and embeddings - Strong problem-solving skills and solution architecture capabilities - Excellent client-facing communication skills with the ability to translate business needs into technical solutions - Experience working with cloud platforms such as AWS, Azure, and GCP - Ability to manage multiple projects and priorities in a fast-paced environment.,

You will be responsible for managing a team of technical support executives and providing International Support to B2B Customers for BitRaser software. Your role will involve handling Technical Support queries of key customers, creating and executing SLAs for responses, ensuring timely resolution of escalated issues, collaborating with the R&D team to prioritize bug fixes, achieving Customer Satisfaction NPS, conducting team training, assisting prospects in software evaluations, managing closed accounts for customer retention, logging issues in CRM, and maintaining feature and issue reports. Key Responsibilities: - Manage a team of technical support executives - Assist B2B customers with BitRaser software - Handle Technical Support queries of key customers - Create and Execute SLA for response - Ensure timely resolution of escalated issues - Collaborate with R&D team for bug fixes - Achieve Customer Satisfaction NPS - Conduct Team Training on newer technology and issues - Assist prospects in software evaluations - Manage closed accounts for efficient customer retention - Log issues in CRM - Maintain feature and issue reports Desired Experience: - Total experience of 10-12 years in B2B support - Minimum 50% experience in International Software/Hardware Support - Enable Performance Improvement of the team by measuring relevant KPIs - Technical Support Experience with B2B Support - Build relationships with Client personnel Key Skills: - Technical Skills: Good knowledge of computer hardware, IT infrastructure, networking, cloud platforms, cybersecurity, and API - Customer Handling Skills: Empathy - Outstanding Communication Skills: Written and Oral - Team management skills - Ability to approach complex tickets with curiosity and identify themes independently Qualification: - B.Tech/M.Tech/BCA/MCA (Computer Science or IT) / Diploma in Computer Shift Timings: - 5:30 to 2:30 AM IST (US Shift) - 8:00 PM to 5:00 AM IST (Night Shift) Perks: - Learning & Development - Medical Insurance - Work-Life Balance - Growth Opportunities - Cab Facility - Meal Benefits Note: This job posting was dated August 18, 2025, located in Gurugram, and requires 10-12 years of experience with 1 position available.,

As the Vice President of Engineering at Teradata, you will lead the India-based software development organization for the AI Platform Group. Your primary responsibility will be to execute the product roadmap for key technologies such as Vector Store, Agent platform, Apps, user experience, and AI/ML-driven use-cases at scale. Success in this role will involve building a world-class engineering culture, attracting and retaining top technical talent, accelerating product delivery, and driving innovation to bring measurable value to customers. Key Responsibilities: - Lead a team of 150+ engineers to help customers achieve outcomes with Data and AI - Partner closely with Product Management, Product Operations, Security, Customer Success, and Executive Leadership - Implement and scale Agile and DevSecOps methodologies - Drive the development of agentic AI and AI at scale in a hybrid cloud environment - Modernize legacy architectures into service-based systems using CI/CD and automation Qualifications Required: - 10+ years of senior leadership experience in product development, engineering, or technology within enterprise software product companies - 3+ years in a VP Product or equivalent role managing large-scale technical teams in a growth market - Experience with cloud platforms, Kubernetes, containerization, and microservices-based architectures - Knowledge of data harmonization, data analytics for AI, and modern data stack technologies - Strong background in enterprise security, data governance, and API-first design - Masters degree in engineering, Computer Science, or MBA preferred Teradata is a company that believes in empowering people with better information through their cloud analytics and data platform for AI. They aim to uplift and empower customers to make better decisions by providing harmonized data, trusted AI, and faster innovation. Trusted by the world's top companies, Teradata helps improve business performance, enrich customer experiences, and integrate data across the enterprise.,

As a Full Stack Engineer at Applied Value Technologies, you will play a crucial role in designing and building scalable, secure, and intuitive enterprise applications across various domains such as Finance, Supply Chain, Compliance, E-commerce, and more. **Key Responsibilities:** - Own product architecture and collaborate with cross-functional teams to set technical direction. - Design and develop scalable, highly available, and secure enterprise systems. - Build and optimize REST APIs, GraphQL, and microservices. - Write high-quality, reliable, and performant code with monitoring & alerting. - Conduct design and code reviews, ensuring best practices and scalability. - Debug and monitor distributed systems using advanced logging tools. - Break down projects into manageable milestones and deliver on time. - Provide L3 support for existing products and implement new features. - Refactor codebases for performance, maintainability, and scalability. - Create and maintain clear technical documentation. - Continuously learn and adapt to new tools, technologies, and processes. **Qualifications:** - Bachelors degree (preferred) or equivalent professional experience. - 5+ years of professional experience in Full Stack development. - Strong expertise in ReactJS or similar frontend frameworks. - Proficiency in PHP, Hack, JavaScript, Python, Java, or C#. - Hands-on experience with SQL/NoSQL, ORM frameworks, and database design. - 3+ years building microservices, REST APIs, GraphQL. - Experience in asynchronous/parallel service development. - Familiarity with cloud platforms (AWS/Azure) and log monitoring in distributed systems. - Strong communication skills and a collaborative, low-ego approach. - Professional fluency in English.,

As a Functional Manager in the EY Consulting Digital Engineering team, your role will involve leading the design, architecture, and delivery of cutting-edge digital platforms that enable intelligent, connected enterprises. You will be translating vision into scalable architectures across AI, IoT, Digital Twin, and Digital Thread ecosystems. Your responsibilities will include engaging with internal and client stakeholders, leading end-to-end project lifecycles, guiding cross-functional teams, developing go-to-market strategies, and defining success metrics post-deployment. Key soft skills required for this role include proven leadership capabilities, strong business storytelling skills, system-level thinking, and confidence in engaging senior stakeholders. **Key Responsibilities:** - Engage with internal and client stakeholders to define solution roadmaps, strategic outcomes, and business transformation goals. - Translate high-level business objectives into actionable technical requirements and architectural blueprints for AI, Digital Twin, and IoT-based ecosystems. - Lead end-to-end project lifecycle: estimation, sprint planning, solution design, development oversight, testing, and go-live. - Architect and enable solutions that incorporate Digital Twin frameworks, Digital Thread integration, AI/ML pipelines, and real-time data flows for operational intelligence. - Guide cross-functional engineering, data, and platform teams through agile delivery cycles. - Serve as the client-facing anchor for solution storytelling, demo orchestration, and strategic alignment workshops. - Develop go-to-market (GTM) strategies with marketing, sales, and pre-salesframing offerings in terms of value, scalability, and business relevance. - Identify opportunities to integrate GenAI, automation, and predictive intelligence into solution backbones to elevate business impact. - Define and track success metrics (KPIs) post-deployment to ensure alignment with customer goals and business returns. - Mentor high-performing teams and drive continuous learning in digital architecture, business communication, and delivery excellence. - Create scalable patterns and reusable solution components for future business enablement and platformization. **Qualifications Required:** - A master's degree in computer science, Engineering, or a related field. - 9-15 years of experience in digital solution delivery, enterprise technology, and client-facing engagements. - Demonstrated experience in solution architecture, especially around Digital Twin, AI/ML, cloud-native platforms, and data-driven decision systems. - Strong understanding of cloud platforms (Azure, AWS, GCP) and connected ecosystems including IoT, Edge, and real-time processing. - Experience in shaping GTM plans, technical proposals, and working with sales/pre-sales teams to close strategic deals. EY exists to build a better working world, helping to create long-term value for clients, people, and society. With diverse teams in over 150 countries, EY provides trust through assurance and helps clients grow, transform, and operate across various domains.,

**Job Description:** **Role Overview:** We are seeking an experienced PM/BA who can effectively bridge the gap between business and technology, leading end-to-end project delivery and ensuring analytical excellence. Your role will involve project execution, facilitating requirement gathering, and overseeing the seamless implementation of business-driven solutions. **Key Responsibilities:** - *Project Management* - Lead full project lifecycle from initiation through closure, utilizing Agile (Scrum/SAFe) and Waterfall methodologies. - Take ownership of project plans including scope, schedule, budget, risk, and change management, with a focus on forecasting and financial management/reporting. - Coordinate diverse cross-functional teams, both onshore and offshore, vendors, and client stakeholders. - Track key performance indicators (KPIs), conduct governance activities (such as standups and steering committees), and provide clear status updates. - *Business Analysis* - Elicit and document business requirements through workshops, interviews, and user stories; develop FRDs, BRDs, use cases, and wireframes. - Model and optimize business processes using tools like BPMN, UML, and Visio. - Support solution design, data migration planning, and activities related to User Acceptance Testing (UAT) coordination/testing. - Ensure that the delivered solutions align with business objectives and meet stakeholder acceptance. **Required Qualifications:** - 5-7 years of combined project management and business analyst experience, preferably within IT, healthcare domains. - Demonstrated ability to manage projects using Agile (Scrum, SAFe) and Waterfall frameworks. - Proficiency with tools such as JIRA, Confluence, MS Project, Excel, Visio, as well as reporting/dashboard tools like Power BI and Tableau. - Strong stakeholder management, communication, and facilitation skills. - Possess an analytical mindset, structured planning approach, and exceptional problem-solving abilities. - Availability for US-shift and willingness to collaborate with global teams. **Desirable Skills:** - Certifications such as PMP, CBAP, PMI-ACP, or SAFe would be advantageous. - Experience in data analysis/ETL, migration, or governance. - Domain expertise in healthcare, particularly in non-profit projects. - Familiarity with cloud platforms like Azure/AWS and CI/CD environments. **Educational Background:** - Bachelor's degree in IT, Business, Engineering, or a related field. A Master's or MBA would be a plus. (Note: The company details were not explicitly mentioned in the provided job description.),

As a Generative AI Architect at NiCE, you will be responsible for providing technical leadership and architectural direction for the development and integration of Generative AI solutions within the organization's product portfolio and platform. Your role will involve collaborating closely with engineering, data science, product, and business stakeholders to ensure effective design, scalability, security, and operationalization of GenAI-powered features and systems. **Key Responsibilities:** - Set the end-to-end technical direction for Generative AI initiatives, including platform, technology stack, tools, and infrastructure. - Architect, design, and oversee the implementation of GenAI models and pipelines for production use cases. - Collaborate with cross-functional teams to define requirements, deliver functional and design specifications, and ensure alignment with business objectives. - Ensure that Generative AI solutions are scalable, secure, reliable, and maintainable, adhering to enterprise standards and best practices. - Lead architectural and design reviews for GenAI features and help establish coding and model development standards. - Evaluate, select, and integrate third-party GenAI platforms, frameworks, APIs, and cloud services as appropriate. - Drive continuous innovation by staying up-to-date with advances in GenAI, ML, and AI infrastructure. - Foster a culture of engineering excellence, mentoring team members on AI/ML, MLOps, and responsible AI practices. - Ensure robust model monitoring, performance evaluation, and feedback loops for deployed GenAI systems. - Collaborate with security and compliance teams to ensure adherence to data governance, privacy, and AI ethics requirements. - Contribute to strategic planning for AI initiatives and the company's long-term technology roadmap. - Mentor teams on the importance of each MCP pillar and drive adoption of best practices throughout the AI development lifecycle. **Qualifications:** - 15+ years of software development or technical leadership experience, with at least 5 years focused on AI/ML solutions and a minimum of 2 years architecting Generative AI systems. - Expertise in designing and deploying production-grade Generative AI solutions, including LLMs, summary generation, prompt engineering, and RAG-based architectures. - Experience with leading AI/ML frameworks and MLOps tools. - Strong understanding of cloud platforms and AI services. - Deep knowledge of machine learning concepts, data engineering, and model operationalization at scale. - Familiarity with responsible AI practices, including data privacy, fairness, explainability, and compliance. - Proficient in programming languages such as Python, Java, or similar; experience with containerization and orchestration. - Experience driving Continuous Integration and Delivery for AI/ML solutions. - Excellent problem-solving, decision-making, and communication skills. - Proven ability to mentor engineers and data scientists, foster teamwork, and drive consensus. - Experience working in Agile development environments. - Strong quality orientation, attention to detail, and ability to translate ideas into robust solutions. - Familiarity with security technologies and best practices for AI-enabled platforms. - Experience with AI/ML testing, monitoring, and continuous model evaluation in production. - Exposure to natural language processing (NLP) and computer vision applications. - Familiarity with MCP framework. - Passion for delivering innovative, high-quality GenAI products and platforms. - Ability to work independently and collaboratively across multi-disciplinary teams. - Demonstrated leadership in adopting new technologies and driving organizational change. - Strong customer orientation and ability to communicate complex technical concepts to non-technical stakeholders. - Commitment to ethical AI and continuous learning. NiCE offers a challenging work environment, competitive compensation, and benefits, and rewarding career opportunities. Join the NiCE team and be part of a fast-growing, highly respected organization where innovation and growth are at the forefront. Enjoy NiCE-FLEX hybrid model, combining office and remote work for maximum flexibility.,

As a DevOps, SRE, or Technical Operations professional, you will be responsible for the following: - Proven experience in a DevOps, SRE, or Technical Operations role. - Demonstrated ability to meticulously follow technical runbooks and documented procedures. - Hands-on experience with cloud platforms, preferably AWS or GCP. - Experience with orchestration tools, preferably Puppet. - Proficiency in a scripting language, preferably Python. - Strong troubleshooting and debugging skills. - Support Model: 24/7 coverage with good English verbal and written proficiency. Your qualifications should include: - 3-6 years of experience in Splunk administration, engineering, or support. - Proficiency in Splunk Search, Dashboards, ITSI (optional), troubleshooting, and maintaining systems. - Experience with ServiceNow workflows. - Familiarity with working in a compliance-driven engagement model. Preferred certifications include: - Splunk Core Certified Admin / Power User. - ITIL Foundation (for change process understanding). - Puppet/Ansible certification (desirable). Feel free to apply if you meet these requirements and are looking for a challenging opportunity in a dynamic environment.,

Role Overview: ZS is seeking a motivated and detail-oriented Information Protection Analyst to join the Data Governance team. In this role, you will be responsible for supporting the implementation and ongoing management of the data governance framework. Your primary focus will be on operationalizing governance policies, maintaining data quality, supporting data classification and discovery efforts, and ensuring that data is well-managed, secure, and compliant. As a Data Governance Analyst, you will play a crucial role in data stewardship, monitoring governance processes, and assisting with tool administration to promote trusted and governed data across the organization. Key Responsibilities: - Support the implementation and enforcement of data governance policies, standards, and procedures. - Assist in data discovery, classification, and cataloging efforts using data governance and DSPM tools. - Monitor and report on data quality metrics, compliance adherence, and data stewardship activities. - Maintain and update data inventories, metadata repositories, and lineage documentation. - Collaborate with data owners, stewards, and IT teams to address data governance issues and remediation. - Participate in data risk assessments, control testing, and regulatory compliance audits. - Manage governance tool configurations, user access, and workflow automation. - Provide training and support to data steward teams and end-users on governance principles and tool usage. - Prepare regular data governance status reports and dashboards for leadership. Qualifications Required: - Bachelor's degree in Data Management, Computer Science, Information Systems, Business, or related field. - 2+ years of experience in data governance, data quality, data management, or related operational roles. - Familiarity with data governance frameworks, data cataloging, or metadata management concepts. - Hands-on experience with data governance, catalog, or data quality tools (e.g., Collibra, Informatica, Alation, Talend, BigID). - Understanding of data privacy regulations (such as GDPR, CCPA, HIPAA) and data security basics. - Strong analytical skills with attention to detail and problem-solving capabilities. - Excellent communication skills with the ability to work collaboratively across teams. - Familiarity with cloud platforms (AWS, Azure, GCP) and data architecture is a plus. Additional Company Details: ZS offers a comprehensive total rewards package that includes health and well-being, financial planning, annual leave, personal growth, and professional development. The company's skills development programs, career progression options, internal mobility paths, and collaborative culture empower individuals to thrive within the organization and as part of a global team. ZS promotes a flexible and connected way of working, allowing employees to combine work from home and on-site presence at clients/ZS offices for the majority of the week. The company values face-to-face connections for fostering innovation and maintaining its culture. If you are eager to grow, contribute, and bring your unique self to the work environment at ZS, they encourage you to apply. ZS is an equal opportunity employer committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.,

Role Overview: As a Node.js developer at our company located in Webel IT Park, Tower 2, BN - 9, Salt Lake, Sector V, Kolkata - 700091, you will play a crucial role in optimizing the performance of our web-based application. Your primary responsibilities will include collaborating with front-end developers, designing back-end components, and integrating data storage and protection solutions. You will focus on developing high-performance applications by writing efficient and reusable code while ensuring the security and responsiveness of our central database to front-end requests. Key Responsibilities: - Developing and maintaining all server-side network components. - Ensuring optimal performance of the central database and responsiveness to front-end requests. - Collaborating with front-end developers on the integration of elements. - Designing customer-facing UI and back-end services for various business processes. - Implementing effective security protocols, data protection measures, and storage solutions. - Running diagnostic tests, repairing defects, and providing technical support. - Documenting Node.js processes, including database schemas, and preparing reports. - Recommending and implementing improvements to processes and technologies. - Keeping informed of advancements in the field of Node.js development. Qualifications Required: - B.Tech/MCA in computer science or similar field. - At least 2 years of experience as a Node.js developer. - Extensive knowledge of JavaScript, web stacks, libraries, and frameworks. - Knowledge of front-end technologies such as HTML5 and CSS3. - Strong proficiency in backend languages like Python, PHP, etc. - Knowledge in using cloud platforms such as AWS, Azure, and others. - Superb interpersonal, communication, and collaboration skills. - Exceptional analytical and problem-solving aptitude. - Great organizational and time management skills. - Availability to resolve urgent web application issues outside of business hours.,