Cloud Service Models Jobs in Bengaluru

Position: Data Architect Location: Remote/Hybrid | Bengaluru, IND We're searching for a highly skilled and experienced Data Architect to join our team. If you have a deep understanding of big data technologies and extensive experience with Hadoop, Python, Snowflake, and Databricks, you're the ideal candidate. You'll be responsible for designing, implementing, and managing complex data architectures that support our critical business needs and objectives. What You'll Do: Design & Architecture Leadership: Design scalable and efficient data architecture solutions that meet current and future business data needs. Lead the development of data models, schemas, and databases, ensuring alignment with business requirements. Architect and implement robust data solutions on leading cloud platforms (AWS, Azure, or GCP). Data Management & Governance: Develop and maintain robust data pipelines and ETL processes using Hadoop, Databricks, and other essential tools. Oversee data integration and quality efforts to ensure consistency and reliability across the organization. Implement data governance best practices, focusing on data security, privacy, and compliance. Collaboration & Mentorship: Work closely with data engineers, data scientists, and business stakeholders to translate data requirements into effective technical solutions. Provide technical leadership and mentorship to junior data engineers and architects. Collaborate with cross-functional teams to ensure data solutions align perfectly with overall business goals. Optimization & Innovation: Optimize existing data architectures for peak performance, scalability, and cost-efficiency. Monitor and troubleshoot data systems to ensure high availability and reliability. Continuously evaluate and recommend new tools and technologies to improve our data architecture. What You'll Bring: Experience: 10+ years in data architecture, data engineering, or a related field. Big Data Expertise: Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase). Programming Prowess: Strong programming skills in Python for data processing and automation. Data Platform Mastery: Hands-on experience with Snowflake for data warehousing and Databricks for analytics. Cloud Fluency: Extensive experience with cloud platforms (AWS, Azure, GCP) and their data services. Data Modeling: Familiarity with data modeling tools and methodologies. Core Skills: Deep understanding of big data technologies and distributed computing. Strong problem-solving skills to design solutions for complex data challenges. Excellent communication skills, able to explain complex technical concepts clearly to diverse audiences. Proficient in SQL and database performance tuning. Experience with CI/CD pipelines and automation in data environments. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred Qualifications: Advanced Degree: A Master's degree in a related field. Cloud Certifications: Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate. Additional Languages: Experience with other programming languages like Java or Scala. Machine Learning Integration: Knowledge of machine learning frameworks and their integration with data pipelines.

Position: Salesforce Developer (CPQ, Service Cloud, Billing) Location: Remote/Hybrid | Bengaluru, IND We're looking for a highly skilled Salesforce Developer with specialized expertise in Salesforce CPQ, Service Cloud, and Billing. If you have a strong background in developing and customizing Salesforce solutions that enhance sales, service, and billing processes, you'll be instrumental in designing and implementing complex, tailored solutions to meet our business needs. What You'll Do: CPQ Development: Customize and enhance Salesforce CPQ applications, including product configuration, pricing rules, quote templates, and approval processes. Service Cloud Development: Implement and customize Salesforce Service Cloud to optimize customer service operations, covering case management, service processes, and SLAs. Billing Implementation: Develop and integrate Salesforce Billing solutions, ensuring seamless end-to-end billing processes like invoicing, payment processing, and revenue recognition. System Integration: Integrate Salesforce CPQ, Service Cloud, and Billing with internal and third-party systems using REST/SOAP APIs, middleware, and custom integrations. Customization & Data Management: Design and implement custom objects, workflows, validation rules, and other Salesforce features. Ensure data integrity across all Salesforce clouds and connected systems, handling data migrations and quality controls. Quality Assurance: Conduct unit testing, integration testing, and debugging to ensure the stability and performance of Salesforce customizations and integrations. Documentation: Create and maintain comprehensive technical documentation, including system architecture and design specifications. Collaboration: Work closely with business analysts, project managers, and stakeholders to translate business requirements into effective technical solutions. Continuous Improvement: Stay current with Salesforce platform updates and best practices across CPQ, Service Cloud, and Billing. Recommend enhancements to existing systems. What You'll Bring: Experience: 5+ years as a Salesforce Developer, with specific, hands-on experience in CPQ, Service Cloud, and Billing. Salesforce Core: Proficiency in Apex, Visualforce, Lightning Components, and Salesforce development tools. Integration Savvy: Extensive experience integrating Salesforce with external systems using REST/SOAP APIs. Platform Knowledge: Familiarity with Salesforce data models and architecture, particularly within CPQ, Service Cloud, and Billing. Certifications: Salesforce Certified CPQ Specialist and/or Salesforce Service Cloud Consultant certifications are highly preferred. Problem-Solving: Strong problem-solving skills with a focus on delivering customer-centric solutions. Communication: Excellent communication skills, enabling effective collaboration with both technical and non-technical stakeholders. Multitasking: Ability to manage multiple tasks and projects simultaneously in a fast-paced environment. Education: Bachelor s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Preferred Qualifications: Experience with Agile development methodologies. Familiarity with Salesforce Communities, Marketing Cloud, or other Salesforce products. Knowledge of JavaScript, HTML, CSS, and other web development technologies. Experience with CI/CD tools and version control systems like Git.

Manager Adobe AEM Engineering Location: Bengaluru, India Department: Experience Engineering | Adobe AEM Type: Full-Time About the Role As a Manager Adobe AEM, you will lead the delivery of end-to-end digital experience platforms for global clients using Adobe Experience Manager and other Adobe Experience Cloud solutions. You will architect, implement, and optimize scalable enterprise content management solutions, while mentoring technical teams and working directly with clients to understand and translate business requirements into robust, scalable systems. Key Responsibilities Lead design, architecture, and implementation of large-scale AEM projects (Sites, Assets, AEM as a Cloud Service). Architect AEM components, templates, workflows, tagging, publishing, and metadata models. Define and implement cloud-native, SEO-optimized, accessible, secure, and performant digital platforms. Oversee quality processes, including CI/CD (e.g., Jenkins, Bamboo, Cloud Manager), code reviews, SonarQube, and automated testing. Manage infrastructure setup and configurations: Load Balancers, Apache, CDN, DR, and AEM environments. Collaborate across cross-functional teams including frontend (React, Angular, HTL), backend (Java), QA, and DevOps. Support content migration, integrations with eCommerce platforms (Hybris, Magento), and Digital Asset Management systems. Ensure adoption of best practices in performance, scalability, monitoring, and responsive design. Interface directly with clients for technical consulting, requirement gathering, and delivery oversight. Lead and mentor development teams (20+ members) across all project phases in Agile/Scrum environments. Required Skills & Experience 10+ years of experience in software engineering with at least 5+ in AEM development. Deep expertise in AEM architecture (including SaaS/Cloud Service, SDK), deployment (Maven), and migration planning. Proficient in Java 8/11, JCR, OSGi, Sling Models, HTL, JSP, and server-side integrations. Strong understanding of frontend development (ReactJS, Angular, Bootstrap, HTML5, CSS3, JS frameworks). Familiarity with Adobe I/O Runtime, Adobe Events, and cloud platforms (AWS, Azure, GCP). Experience with Adobe Experience Cloud tools: Target, Analytics, Campaign, Launch, Scene7. Proven success in leading full-stack delivery teams including frontend, backend, QA, and PM. Knowledge of SEO, accessibility (WCAG A, AA, AAA), performance monitoring (New Relic, AppDynamics), and analytics integration. Hands-on with monitoring and observability tools: Squid, Nagios, Zabbix, Ganglia, etc. Exposure to Agile methodologies and estimation/planning across digital project lifecycles. Bonus / Preferred Qualifications Experience integrating AEM with eCommerce (Magento, Hybris, ElasticPath). Working knowledge of microservices, containerization, and RESTful services. Adobe certifications (e.g., Adobe Certified Expert AEM Developer/Architect). Familiarity with Adobe I/O integrations and Adobe Dynamic Media. Benefits Gender-Neutral Policy 18 Paid Holidays per year Parental Leave and New Parent Transition Program Flexible Work Arrangements Employee Wellness Programs About Publicis Sapient Publicis Sapient is a premier digital transformation partner helping global enterprises redefine their future with technology. With over 20,000 professionals across 53 offices worldwide, we deliver bold digital solutions across strategy, customer experience, data, and engineering.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

Customer Success Engineer II Technical Support | Cloud & SaaS Location: Bangalore, India Job Type: Full-Time | Customer Success | Cloud Technology | Technical Support About Rubrik s Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is committed to delivering an outstanding post-purchase experience. Our team of seasoned experts ensures smooth deployment, adoption, and continued usage of Rubrik s cloud data management and Zero Trust Data Security solutions. We handle complex technical support cases, guide customers through SaaS product adoption, and provide strategic consultation across a wide range of cloud platforms, data security tools, and enterprise IT ecosystems. Our engineers work closely with cross-functional teams, acting as trusted advisors and primary technical contacts, to maintain high standards of data protection, incident resolution, and customer success. About the Role We are looking for a highly skilled Customer Success Engineer II to join our fast-paced support team. In this role, you will provide enterprise-level technical support for Rubrik s data security solutions via phone, web, chat, and email. You will troubleshoot complex technical issues, support diverse cloud deployments, and deliver excellent service across hybrid infrastructure environments. Key Responsibilities Handle technical support tickets ranging from basic queries to advanced troubleshooting across cloud platforms and virtualized environments. Independently diagnose and resolve customer issues involving snapshots, replication, backup and recovery, data management, and infrastructure. Utilize cloud infrastructure knowledge to provide guidance and recommend best practices (AWS, Azure, GCP). Collaborate with internal teams such as Engineering and Escalations to resolve critical incidents. Deliver high-quality customer communication, ensuring transparency and issue resolution from start to finish. Author and contribute to technical documentation, including knowledge base articles, FAQs, and deployment guides. Continuously improve case resolution processes and provide insights into recurring issues. Analyze and report root causes; work with developers to file bugs and enhance product reliability. Share feedback and insights with product teams to drive platform improvements and enhance customer satisfaction. Support automation, DevOps, and microservices architecture as part of troubleshooting modern enterprise stacks. Required Skills & Experience 3+ years in a technical support, DevOps, or cloud infrastructure role supporting enterprise environments. Strong knowledge of VMware, Linux, Kubernetes, and cloud platforms like AWS, Azure, and Google Cloud Platform (GCP). Hands-on experience with Office 365 APIs, Microsoft SQL databases, scripting languages such as Python or Perl, and automation tools. Deep understanding of SaaS systems, cloud deployment models, and data protection principles. Demonstrated problem-solving skills with a passion for learning and adapting to new technologies. Ability to write clear technical documentation and communicate complex concepts to diverse audiences. Bachelor's degree in Computer Science, Information Technology, or related technical field. Preferred Qualifications Experience in supporting data backup and recovery, storage solutions, or cybersecurity tools. Exposure to Zero Trust Security models, data compliance standards, or incident management workflows. Strong collaboration skills with internal development, QA, and customer success teams. Previous experience contributing to internal knowledge systems or customer-facing documentation. At Rubrik, we are redefining data security and resilience. Our award-winning platform, Rubrik Security Cloud, powered by machine learning, protects enterprise, cloud, and SaaS environments from ransomware, cyber threats, and downtime. You ll work with passionate professionals who are dedicated to helping businesses secure their critical data and recover quickly in times of crisis.

Platform Solution Architect Job Overview As a Platform Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database and cloud workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real-world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long-term impact with their technical knowledge and position of influence with prospects and customers. Key Responsibilities Serve as a subject matter expert on Rubrik s data protection and data security solutions, focused on database and cloud workloads. Act as a trusted advisor on assigned opportunities, aligning Rubrik s technology and roadmap with customer business objectives. Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences. Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs. Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes. Proactively identify technical challenges and architect creative solutions to overcome sales barriers. Translate complex customer requirements into clear, actionable technical strategies. Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik s solutions. Evangelize Rubrik s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs. Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands. Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders. Qualifications 8+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud. Bachelor s Degree in Computer Science, Engineering, or equivalent experience. Deep technical expertise in two or more areas across database and cloud: Database focus: Primary: Oracle (Oracle Cloud, Data Guard, Golden Gate, Exadata, ExaCC) Secondary: MongoDB, Apache Cassandra, SQL Server, IBM DB2, Informix, PostgreSQL Multi-Cloud focus (Azure or AWS or GCP): Primary: AWS EC2, Azure VM, GCP Compute Engine, AWS S3, Azure Blob Secondary: Azure SQL and AWS RDS Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript. Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions. Experience conducting benchmarks and performance testing on enterprise systems (preferred). Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators. Strong cross-functional collaboration skills with sales, engineering, and product management. Exceptional communication skills, including compelling presentations and clear, concise writing. Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software. Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy. Willingness to travel approximately 20%-50% of the time. #LF-SF1 Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked. Qualification : Bachelors degree or equivalent practical experience.

Job Title: Lead Salesforce Engineer Location: Bangalore, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 8+ Years About Eightfold: Eightfold AI is revolutionizing the way we think about skills, careers, and talent management. With over $410 million in funding and a valuation of over $2B, we are leading the industry with our AI-powered Talent Intelligence Platform. Our mission is to transform how organizations hire, develop, and retain talent, ultimately helping individuals transform their careers. Join a dynamic team of innovators and make a tangible impact on employment worldwide. Led by experts with backgrounds from Google, Facebook, and IIT, we re on a mission to redefine how talent is connected with opportunity. What You Will Do: As a Lead Salesforce Engineer, you will lead the design, development, and enhancement of Salesforce solutions, ensuring scalability and maintainability. You will be involved in both technical leadership and hands-on development, driving improvements while mentoring junior and senior developers. Key Responsibilities: Salesforce Solutions Design: Lead and architect the development of Salesforce solutions, including customizations, programming, and data migrations. Project Management: Participate in the planning and execution of Salesforce initiatives, leading the delivery of features, enhancements, and KTLO work items. Team Leadership: Mentor and guide a team of Salesforce developers, ensuring adherence to best practices and alignment with enterprise architecture. Code Reviews & Best Practices: Promote coding best practices, perform solution and code reviews, and ensure compliance with Salesforce best practices. Stakeholder Collaboration: Work closely with GTM systems, RevOps, and business teams to define and execute on Salesforce system enhancements. Technical Debt Management: Identify technical debt and propose design strategies to restructure or overcome existing limitations without compromising functionality. Agile/Scrum Methodologies: Use Agile practices to drive development, including sprint planning, standups, and retrospectives. Salesforce Development: Develop and deploy solutions using Apex, Visualforce, Lightning Web Components (LWC), Salesforce CPQ, Flows, and APIs. Salesforce Performance Optimization: Continuously monitor Salesforce performance, identifying areas for improvement and optimization. Knowledge Transfer & Post-Delivery Support: Coordinate post-delivery activities including support, documentation, and knowledge transfer. Proof of Concept: Lead the creation and demonstration of proof of concepts to address complex business needs. Cross-Functional Collaboration: Work with teams across departments to ensure effective integration and deployment of Salesforce solutions. Qualifications: Required Skills & Experience: 8+ years of experience in implementing Salesforce CRM capabilities, with strong expertise in Salesforce Sales Cloud, Service Cloud, CPQ, and Experience Cloud. Advanced proficiency in Salesforce development tools including Apex, JavaScript, VisualForce, LWC, SOQL, REST API, and Bulk API. Deep understanding of Salesforce architectures, data models, and best practices. Proficient in Salesforce deployment (Metadata API, ChangeSets, Version Control) and data governance (profiles, permission sets, data visibility). Expertise in middleware integration tools, data analysis, and ensuring data hygiene. Strong problem-solving skills with the ability to manage high-level software issues. Solid understanding of Salesforce security practices (e.g., profiles, permission sets, sharing settings). Familiarity with Agile/Scrum methodologies and experience with development cycles, including UAT and deployment. Strong verbal and written communication skills, including presentation skills. Bachelor s degree in Computer Science or related field. Good to Have: Salesforce Certifications (e.g., Salesforce Certified Platform Developer, Salesforce Certified Technical Architect). Exposure to middleware integration tools. Impactful Work: Play a key role in transforming the future of employment and talent management with AI. Growth Opportunity: Eightfold has received $410M in funding and boasts a $2B+ valuation, offering immense opportunities for career growth. Hybrid Work: Enjoy a flexible, hybrid work model that balances remote work with in-office collaboration twice a week in Bangalore or Noida. Inclusive Culture: We believe in equal opportunity and diversity in the workplace, welcoming individuals from all backgrounds. How to Apply: If you are an experienced Salesforce Engineer with a passion for solving complex business problems and leading innovative projects, apply today to join Eightfold AI s mission to reshape how talent and opportunity meet! Qualification : Bachelors degree in Computer Science or related field.

Lead Data Scientist Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company creating service intelligence products that are transforming industries such as high-tech devices, manufacturing, and medical devices. Backed by top Silicon Valley venture capitalists and an esteemed group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds. By analyzing structured and unstructured data, alongside insights from leading experts, we empower service leaders to improve key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. Our goal is to lead the AI revolution in service decision-making, and we want you to be a part of that journey. About the Team As a Lead Data Scientist, you ll play a pivotal role in designing, developing, and deploying NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your deep technical expertise will help launch AI products that directly impact users. You ll also mentor junior team members, ensuring technical excellence and fostering growth within the team. You'll collaborate closely with cross-functional teams and customers to solve complex challenges and create impactful AI solutions. What You ll Do: Lead NLP Development: Oversee the development and deployment of NLP-based solutions for processing and analyzing unstructured data at scale. Machine Learning Model Development: Design, train, and optimize machine learning models using popular libraries such as PyTorch, NLTK, and Scikit-learn. Cloud Deployment: Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS. Collaboration: Work with data engineering teams to ensure seamless integration of AI models into production systems. Data Analytics: Perform advanced SQL analytics to extract actionable insights from structured datasets. Mentorship: Guide and mentor junior data scientists, fostering a culture of technical excellence within the team. Customer Engagement: Work closely with customers to understand their needs and translate those into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Stay Current: Keep up-to-date with the latest advancements in NLP and machine learning to ensure best practices and cutting-edge solutions are applied. What We re Looking For: Experience: Minimum 10 years of experience in data science, specifically focused on NLP and unstructured data processing. Track Record: Proven experience in launching NLP-driven products to live users. Technical Expertise: Expertise in Python and libraries such as PyTorch, NLTK, and Scikit-learn. Hands-on experience with Transformer-based models (e.g., BERT, GPT). Cloud Proficiency: Strong experience with cloud platforms like Azure, GCP, or AWS for hosting and deploying AI/ML products. Data Engineering Knowledge: Familiarity with data engineering pipelines and best practices for scalable AI model deployment. SQL Proficiency: Proficient in SQL for data manipulation and advanced analytics. Problem-Solving: Excellent problem-solving skills with a strong ability to work with large-scale datasets. Leadership & Communication: Strong interpersonal and communication skills, with the ability to mentor team members and interact effectively with customers. Preferred Skills: MLOps Knowledge: Understanding of MLOps practices for model deployment, monitoring, and lifecycle management. Data Processing Tools: Familiarity with tools like Airflow, Spark, or similar frameworks for data processing. Customer-Facing Experience: Background in working with customer-facing applications and APIs to deliver AI-powered solutions. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making using advanced AI technology, and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Hybrid work model with flexibility to work from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about building innovative AI-driven solutions and want to be part of a forward-thinking team, we d love to hear from you!

Job Title: Azure Infrastructure Architect Location: Bengaluru, Karnataka, India Department: Engineering About CloudSEK CloudSEK is one of India s leading cybersecurity product companies, focused on leveraging Artificial Intelligence and Machine Learning to identify and resolve digital threats in real-time. With a strong portfolio of products like CloudSEK XVigil, BeVigil, and SVigil, we provide advanced solutions for attack surface monitoring, cybersecurity risk management, and software supply chain protection. We are headquartered in Singapore and have expanded rapidly across India, Southeast Asia, and the Americas. At CloudSEK, we prioritize innovation, agility, and building impactful products that keep our customers ahead of emerging cybersecurity threats. About the Role: Azure Infrastructure Architect CloudSEK is looking for an Azure Infrastructure Architect to design, implement, and optimize cloud infrastructure solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure services, infrastructure automation, and security best practices, with a strong background in cloud architecture patterns. You will work closely with various stakeholders to align cloud strategies with business objectives, ensuring high availability, security, and scalability of enterprise applications. Key Responsibilities Cloud Architecture & Design: Design and implement highly scalable, resilient, and secure cloud infrastructure solutions on Microsoft Azure. Develop cloud adoption strategies, migration plans, and hybrid cloud architectures to meet business needs. Create architecture blueprints, reference architectures, and best practices tailored to Azure environments. Ensure compliance with the Azure Well-Architected Framework and other industry standards. Infrastructure & Automation: Architect and automate Infrastructure as Code (IaC) using tools like Terraform, ARM templates, Bicep, and Ansible. Implement CI/CD pipelines for infrastructure deployment using Azure DevOps, GitHub Actions, or Jenkins. Automate cloud operations, monitoring, and governance using Azure Automation, PowerShell, and Python. Security & Compliance: Design and enforce Azure security best practices including Azure Policy, RBAC, NSGs, Key Vault, Defender for Cloud, and Sentinel. Ensure adherence to regulatory frameworks like ISO 27001, SOC 2, GDPR, and HIPAA. Perform threat modeling, risk assessments, and define zero-trust architectures. Networking & Hybrid Cloud: Design and optimize Azure Virtual Networks (VNet), ExpressRoute, VPN Gateway, and Load Balancers for seamless operations. Implement hybrid cloud architectures, integrating on-premises data centers with Azure via Azure Arc. Optimize network performance, DNS, CDN, and traffic routing in cloud-native environments. Performance Optimization & Cost Management: Leverage Azure Cost Management to implement cost-effective cloud solutions and manage reserved instances. Optimize cloud resource utilization using Autoscaling, VM sizing, and Serverless computing models. Define and implement cloud governance policies to control costs and improve operational efficiency. Collaboration & Stakeholder Engagement: Collaborate with DevOps, Security, and Application teams to align infrastructure solutions with business needs. Provide technical leadership and guidance to engineering teams, ensuring alignment with industry trends and best practices. Act as a trusted advisor to leadership on cloud strategies, emerging technologies, and technical decision-making. Required Skills & Qualifications Technical Expertise: Azure Services: Experience with Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure SQL, CosmosDB, and Azure Networking (VNet, NSG, VPN, ExpressRoute). Automation & IaC: Expertise in Terraform, ARM Templates, Bicep, Ansible, PowerShell, Python. DevOps & CI/CD: Knowledge of Azure DevOps, GitHub Actions, Jenkins, Kubernetes, Docker. Security & Compliance: Familiarity with Azure Security Center, Azure AD, Key Vault, Microsoft Defender for Cloud, Sentinel, and Zero Trust Model. Networking & Hybrid Cloud: Experience with ExpressRoute, Load Balancers, Private Link, Virtual WAN, Azure Arc. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Prometheus, and Grafana. Cloud Migration: Hands-on experience in cloud migrations using Azure Migrate, including planning and execution. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Ability to work in agile environments and across cross-functional teams. A passion for continuous learning and staying updated with the latest Azure technologies. Preferred Qualifications: Azure Certifications such as Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500), or Azure DevOps Engineer (AZ-400). Experience with multi-cloud environments (AWS, GCP). Familiarity with database technologies (SQL, NoSQL, PostgreSQL, MySQL). Location Bengaluru, Karnataka, India Education/Qualification Bachelor s degree in Engineering or Technology (B.Tech/BE). Years of Experience 10 to 15 years of professional experience in cloud infrastructure and architecture design. Be part of a fast-growing startup where you can make a direct impact. Competitive salary and a comprehensive benefits package. Access to cutting-edge technologies and continuous learning opportunities. Flexible working hours and a collaborative work culture focused on innovation and growth. If you're an experienced Azure Infrastructure Architect passionate about designing and optimizing cloud solutions with Microsoft Azure, we would love to hear from you! Join CloudSEK and be part of a forward-thinking team revolutionizing the cybersecurity landscape. Qualification : Bachelors degree in Engineering or Technology (B.Tech/BE).

Data Scientist with GenAI-2 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Key Responsibilities: Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops, and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training, and development of team members. Serve as an evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations, and/or other channels. Design integrations of and tune machine learning and computer vision algorithms. Research and prototype techniques and algorithms for object detection and recognition. Use Convolutional Neural Networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems. Work with open-source tools & platforms for statistical modeling, data extraction, and analysis. Construct, train, evaluate, and tune neural networks. Mandatory Skills: Proficiency in Java, C++, Python. Experience with Deep Learning frameworks such as Caffe, Torch, TensorFlow. Experience with image/video vision libraries like OpenCV, Clarifai, Google Cloud Vision. Expertise in Supervised & Unsupervised Learning. Development of feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, random forest) on big data computation platforms (Hadoop, Spark, HIVE, Tableau). Familiarity with technologies such as Tableau, Hadoop, Spark, HBase, Kafka. Experience: 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence. Experience in creating and applying Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross-functional teams. Experience with cloud services like AWS, Microsoft, IBM, and Google Cloud. Experience with Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar fields. Nice to Have: Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience. About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome. Qualification : BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Data Scientist with GenAI | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT services and consulting company with over 230,000 employees in 65+ countries. We provide transformative digital solutions across consulting, engineering, and cloud. Job Overview We are seeking a skilled Data Scientist with Generative AI expertise to lead the development of AI/ML solutions using advanced technologies like LLMs, LangChain, and AWS. You will architect and implement end-to-end GenAI pipelines for enterprise-grade applications. Key Responsibilities Design and implement AI/ML solutions using Python and AWS. Develop GenAI systems using LLMs, LangChain, and RAG pipelines. Fine-tune AI models to optimize performance and accuracy. Create custom solutions when off-the-shelf tools don t meet requirements. Build SQL-based data pipelines extracting from Snowflake for model training. Integrate NLP capabilities into AI architecture to process textual data. Ensure responsible AI practices including security, fairness, and transparency. Lead and mentor team members, upholding coding and design standards. Communicate progress, risks, and strategies to stakeholders clearly. Mandatory Skills Python GenAI, LLMs AWS Cloud Services Preferred Skills NLP, AI/ML LangChain, RAG SQL, Snowflake Model fine-tuning and custom architecture development Join Wipro and be part of a global digital transformation journey. We empower talent to lead innovation and embrace reinvention. Applications from people with disabilities are explicitly encouraged.

Sr. Full Stack Developer AEM Location: Bangalore Experience: 5 8 Years Company: Mphasis Role: AEM Full Stack Developer Job Summary As an Adobe AEM Developer, you will participate in all aspects of the software development lifecycle including requirement gathering, estimation, design, development, documentation, testing, deployment, and support. Working in a collaborative team, you will transform wireframes and creative designs into functional, scalable AEM-based solutions. You will play a key role in developing, testing, and deploying Adobe Experience Manager solutions for both web and mobile platforms. Experience Required Minimum of 5 years experience with Adobe AEM (6.X) Full Stack experience including Adobe Analytics Data Layer implementation Technical Skills Design efficient content models, workflows, templates, and security models Strong coding standards for efficiency, readability, and reuse Proficient in AEM technologies: Java, J2EE, Sling, HTL/Sightly, OSGi, JCR, OAK Develop custom AEM templates and components using the latest AEM versions Experience with Analytics and Datalayer integration in AEM Familiarity with Apache, Tomcat, and other web/app servers Knowledge of open-source technologies Experience building and deploying internet-facing applications Expertise in RESTful and SOAP web services Skilled in secure coding practices and unit/automated testing tools Experience with tools like Git, BitBucket, Maven, Jenkins Good grasp of object-oriented design and design patterns Comfortable working with global, distributed teams Excellent estimation and problem-solving abilities Mandatory Front-End Skills HTML, CSS3 JavaScript, ES6 React.js Certifications No certifications required. About Mphasis Mphasis uses next-gen technology to digitally transform businesses through its customer-centric Front2Back approach, leveraging cloud and cognitive solutions. Its Service Transformation helps enterprises "shrink the core" and modernize legacy environments. With strong domain expertise and innovation, Mphasis supports clients globally to stay competitive in a dynamic world. Skill Breakdown Primary Competency: Enterprise Content Management Primary Skill: Adobe AEM (51%) Secondary Competency: Usability Engineering Secondary Skill: Front-End Development (HTML, CSS, JavaScript, AJAX) 25% Tertiary Competency: SOA Tertiary Skill: Service Design and Development (REST, SOAP, RMI) 24%

Senior Member of Technical Staff Location: Bengaluru, Karnataka, India Job Category: Product Development Years of Experience: 3 to 5+ years Job Description: Join Oracle Cerner s platform team as we build a complete healthcare technology platform focused on modernized, automated healthcare. We're working to improve health insights and create human-centric experiences for patients, providers, payers, and the public. This is an exciting new business line that values an entrepreneurial spirit and fosters a creative and energetic environment. As a Senior Member of the Technical Staff, you will play a pivotal role in designing and developing scalable, secure, and observable products. Your contributions will help shape the future of healthcare technology, working with cutting-edge cloud platforms and AI models. You will also lead efforts in solving real-world problems, bringing innovative solutions to production. Responsibilities: Develop and build modules and components for complex, scalable products. Participate in architecture discussions, design sessions, and code reviews. Design and implement functional, reliable, and maintainable software solutions. Develop and optimize code, focusing on performance, security, and quality. Work with cloud platforms (AWS, OCI, Azure) to build and deploy solutions. Write and maintain clean, well-documented code and ensure thorough testing. Collaborate with cross-functional teams to understand requirements and break them down into actionable tasks. Required Skills: Strong proficiency in Java and microservices development. Experience with RESTful web services, Service Oriented Architecture (SOA), and microservice architectures. Proficient in SQL Queries and backend technologies. Experience with cloud platforms such as AWS, OCI, or Azure. Strong understanding of software architecture patterns, design patterns, and data structures. Experience with Jenkins/GIT or other version control tools. Ability to switch technologies as required, maintaining flexibility. Full-stack development knowledge is a plus. Preferred Skills: Experience with AI models and bringing them into production. Knowledge of modern software design and development principles. Oracle Cerner is revolutionizing healthcare by bringing modern technology to improve patient outcomes, reduce costs, and enhance the user experience. We are looking for passionate individuals to join our expanding team and contribute to this mission. If you're excited about reimagining healthcare and thrive in a fast-paced, innovative environment, we want to hear from you!

AI & Cloud Solutions Architect - Infrastructure AI COE Introduction The Infrastructure AI Center of Excellence (COE) is a dedicated team of technical professionals focused on leveraging AI to empower IBM Infrastructure employees to be more effective in their jobs or improve customer's experience when they interact with IBM. We along with the AI Guild serves as a vehicle for knowledge sharing, collaboration, & skill development related to AI. Our core objectives are VELOCITY and SAFETY. We want to help roll out AI projects as quickly as possible, while also ensuring that they are done safely and while operating within the guardrails for AI usage within IBM. Your Role and Responsibilities Looking to make a significant impact? This is your chance to become a key technical architect in a dynamic team of talented professionals, designing and architecting innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Solutions Architect to join us. This technical leadership role focuses on designing scalable architectures, establishing technical standards, and providing architectural oversight for AI-based services. You will be instrumental in solving complex technical challenges, designing system architectures, and collaborating with development teams to implement robust AI solutions. You will establish architectural principles and patterns while ensuring technical excellence across projects. Your efforts will ensure scalable, maintainable, and secure AI solutions for our customers. As an essential part of the technical leadership team, you will shape the technical vision while providing architectural guidance to development teams. Design and establish architectural frameworks for AI and cloud-based solutions. Create and maintain technical roadmaps for AI implementations across the infrastructure. Provide architectural oversight and technical direction for complex AI projects. Define technical standards, patterns, and best practices for AI solution development. Evaluate and recommend new technologies and frameworks for AI implementations. Collaborate with development teams to ensure architectural compliance and technical excellence. Design scalable, secure, and maintainable AI solutions. Create detailed architecture documentation and technical specifications. Review and approve technical designs and implementation approaches. Identify and mitigate technical risks in AI solution architectures. Required Education Bachelor's Degree Required Technical and Professional Expertise Minimum 7-12 years of experience in software development with focus on technical architecture. Deep expertise in designing AI solutions using frameworks like TensorFlow, PyTorch, LLMs, Generative AI. Strong background in cloud architecture patterns and microservices design. Extensive experience with distributed systems architecture and design patterns. Expert knowledge of backend technologies, including server-side languages (Node.js, Python, Java) and databases. Proven experience in designing RESTful APIs and event-driven architectures. Deep understanding of Cloud Technologies, Kubernetes, Kafka, Object Storage, and container technologies. Strong background in security architecture and compliance requirements. Experience in designing highly available and scalable cloud services. Expert knowledge of architectural patterns for AI model deployment and integration. Preferred Technical and Professional Experience Experience with emerging AI technologies and architectural patterns. Knowledge of enterprise architecture frameworks. Background in designing solutions for hybrid cloud environments. Experience with performance optimization and scalability design. Strong technical documentation and diagramming skills. Expertise in API design and management. Background in designing event-driven architectures. Experience with infrastructure as code and automation. Knowledge of AI governance and responsible AI principles. Track record of successful large-scale AI solution implementations.

Company Overview At Intuit, we re on a mission to power prosperity for people and communities around the globe. With products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we serve over 100 million customers worldwide. Our goal is simple ensure everyone has the opportunity to thrive financially. We re constantly innovating, finding new ways to help people manage their finances better, and we need a passionate, skilled Full Stack Engineer to help us revolutionize the future of finance with AI-driven experiences. Job Title: Full Stack Engineer - AI Development At Intuit, our AI team is pushing the boundaries of what's possible in financial technology. We re building cutting-edge solutions that deliver personalized, proactive insights to millions of users. As a Full Stack Engineer on our team, you ll play a pivotal role in creating the infrastructure and applications that bring these AI innovations to life. This is a unique opportunity to work with the latest AI technologies while building impactful web applications for TurboTax, QuickBooks, and beyond. Responsibilities: Develop High-Performance Applications Design, develop, and deploy consumer-facing web applications that integrate seamlessly with our AI models and services. Ensure that applications are scalable, modular, and secure, delivering high-quality experiences to millions of users. Collaborate with Cross-Functional Teams Work closely with data scientists, machine learning engineers, and product managers to transform complex algorithms and data into intuitive, user-friendly interfaces. Contribute to the development of AI platforms and tools for model training, deployment, and monitoring. Backend System Design Build and maintain robust backend systems to support the AI-powered features across Intuit's portfolio. Take ownership of the end-to-end product lifecycle, including resolving defects/bugs and working on post-release patches. Champion Best Practices Promote best practices in software development, including thorough code reviews, unit testing, and documentation. Stay up-to-date with the latest trends in AI, web development, and cloud technologies. UI/UX & Prototypes Design and develop web, software, and mobile applications with a focus on accessibility, internationalization, and user experience. Contribute to the architecture and design of projects to ensure scalability and performance. Qualifications: Educational Background BS/MS in Computer Science or equivalent field. Technical Expertise 5+ years of experience in full-stack software development with a strong focus on JavaScript, HTML, CSS, and backend frameworks such as Node.js, Python/Django, or Java/Spring. Proficiency with modern web technologies and architectures such as React, Angular, Vue.js, and RESTful APIs. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL and NoSQL) and data pipelines. Programming & Frameworks Strong experience with Kotlin/Java and web technologies. 4+ years of experience with APIs (creating and consuming) using REST or GraphQL. Experience with UI frameworks like React, Angular, and JavaScript in a single-page architecture. Experience with unit testing and Test-Driven Development (TDD). Data Management & Systems Familiarity with Postgres, Data Lakes, Kafka, and schema modeling will be a plus. Solid foundation in writing scalable web applications that follow best practices in accessibility, internationalization, and instrumentation. Collaboration & Communication Strong communication skills with the ability to work effectively in a cross-functional team. Ability to contribute to both individual work and team-based projects in an Agile environment. Bonus Points: AI/ML Expertise Experience with machine learning frameworks like TensorFlow or PyTorch and AI/ML model deployment. Contributions to open-source projects related to AI or web development. Experience with data visualization tools and techniques to present AI insights effectively. Join Intuit and become part of a forward-thinking team that is shaping the future of financial technology. You ll have the opportunity to work on innovative AI-driven projects that have the potential to impact millions of people s financial lives. Here, your contributions matter, and you ll be empowered to build scalable, secure, and high-performance systems that drive true change. Qualification : BS/MS in computer science or equivalent

Job Title: Infra Tech Support Practitioner Location: Bengaluru Educational Qualification: 15 years of full-time education Experience Required: Minimum 3 Years Role Overview As an Infra Tech Support Practitioner, you will be responsible for technical support, maintenance, and troubleshooting of production and development systems. This role involves working with various platforms, networks, and operating systems, providing L1 and L2-level troubleshooting, and ensuring seamless system operations. You will support and implement technology at the OS level across servers and networks while ensuring adherence to defined operational models and processes. Key Responsibilities Technical Support & Troubleshooting Provide ongoing technical support and maintenance for production and development systems. Troubleshoot Cloud Unified Communication Operations and related server/network issues. Perform L1 and L2 (basic and intermediate) troubleshooting to resolve technical challenges. Ensure timely resolution of technical issues to maintain business continuity. Infrastructure & Operations Management Manage hardware/software support across different platforms. Implement technology solutions at the OS level for various vendors/brands. Collaborate with cross-functional teams to diagnose and resolve system/software problems. Documentation & Knowledge Sharing Document troubleshooting steps and solutions for future reference. Provide training and guidance to junior team members. Participate actively in team discussions and contribute solutions to technical challenges. Continuous Learning & Best Practices Stay updated on industry trends, best practices, and emerging technologies. Apply knowledge of the ITIL framework for effective service management. Must-Have Skills: Proficiency in Cloud Unified Communication Operations. Strong understanding of network protocols and communication technologies. Experience in troubleshooting and resolving technical issues efficiently. Knowledge of server and network hardware components. Good-to-Have Skills: Familiarity with the ITIL framework for service management. Work Environment & Expectations Independently perform tasks and become an SME (Subject Matter Expert). Contribute to problem-solving and innovative solutions in team discussions. Ensure smooth infrastructure operations and technical issue resolution. Engage in continuous learning and stay updated on industry best practices. Work on cutting-edge cloud and network technologies. Collaborate with top professionals in a global environment. Enhance your skills and grow in a challenging, fast-paced role.

About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by harnessing the power of software and data. We enable organizations of all sizes to build, scale, and manage modern applications by modernizing legacy systems, fostering innovation, and integrating AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With Atlas, customers can build anywhere on the edge, on-premises, or across multiple cloud providers. With a global presence and over 175,000 developers joining MongoDB monthly, industry leaders such as Samsung and Toyota rely on us to develop next-generation, AI-driven applications. Role Overview We are seeking passionate and skilled technologists to join our Pre-Sales organization, ensuring that our growth is strategically aligned with our platform s capabilities and our customers needs. As a Pre-Sales Solution Architect, you will guide customers in designing and implementing reliable, scalable systems using MongoDB s data platform. Our team consists of experienced software architects, entrepreneurs, and developers who take direct responsibility for customer success from software design to deployment and operations. You will collaborate closely with our sales team, playing a key role in securing deals and driving business growth. As a trusted advisor, you will work with a diverse range of clients, from startups to large enterprise IT organizations. If you d like to learn more about the role, explore the experiences of Veronica Tudor, Matt Kalan, and Winston Vargo on our Life at MongoDB blog. This role is based in our Bengaluru office as part of our hybrid working model. Ideal Candidate Profile Required Qualifications: 10+ years of professional experience, including a strong background in software development. 3+ years of pre-sales experience with enterprise software solutions. Proficiency in at least two modern scripting or programming languages (e.g., Python, Node.js, SQL, C/C++, Java, C#). Hands-on experience with scalable and highly available distributed systems. Willingness to travel within the region, including international travel as needed. Preferred Qualifications: Experience selling databases or deploying applications with major cloud providers (AWS, Google Cloud, Azure). Familiarity with database programming and data modeling best practices. Key Responsibilities Design systems, applications, and infrastructure to support large-scale software development projects using MongoDB. Provide technical guidance on architectures, patterns, and best practices for leveraging MongoDB effectively. Support the sales team with technical discovery, demonstrations, proof of value, presentations, system sizing, and documentation of technical decision criteria. Translate technical concepts into business value for stakeholders, including executives and decision-makers. Act as a liaison between customers and MongoDB s Product Management team, providing field insights and feedback. Represent MongoDB at industry events, trade shows, and account-based marketing initiatives to drive demand. Mentor and support other pre-sales team members, sharing knowledge and best practices. Demonstrate situational awareness and adaptability in dynamic team environments. Learning & Development Opportunities Gain in-depth knowledge of MongoDB s rapidly evolving product suite, including: Core Database Server Atlas (fully managed cloud database service) Atlas Data Lake, Atlas Full-Text Search, Realm (Mobile Database), Charts Developer Tools & Connectors (Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark) Expand expertise in complementary technologies such as Apache Kafka and Kubernetes. Learn and apply modern architecture methodologies, including microservices, event-driven architectures, DevOps, and cloud security. Develop and refine sales techniques, including presentations, demonstrations, whiteboarding, discovery, and objection handling. Gain exposure to a diverse range of industries and real-world use cases. Culture & Benefits At MongoDB, we prioritize the personal and professional growth of our employees by fostering a supportive and enriching work environment. From employee affinity groups and fertility assistance to a generous parental leave policy, we are committed to the well-being of our team members at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter.

About Oracle Customer Success Services Oracle Customer Success Services (CSS) follows a One Oracle approach to ensure customer success by offering a comprehensive range of services and solutions. Supported by certified and experienced professionals, CSS accelerates the customer journey by providing expert implementation and support. Through a customer-centric, integrated service model, CSS collaborates closely with Oracle Development to deliver exceptional solutions. Role Overview As a Senior Cloud Security Engineer, you will be responsible for delivering high-quality support and services in Oracle Database, Engineered Systems, and Cloud Technologies for premium customers. This role covers the entire product lifecycle, including architecture design, implementation, optimization, and maintenance. You will work directly with customers to ensure they maximize the value of Oracle s technology solutions. Career Level: IC4 Key Responsibilities 4.5 to 10 years of experience in Oracle Cloud Infrastructure (OCI). Lead the full cycle of Oracle Cloud Security assessments, design, and implementations, ensuring adherence to best practices. Hands-on expertise in Oracle Identity and Access Management (IAM), Identity Cloud Service (IDCS), and cloud security solutions. Implement and manage Active Directory (AD) and IDCS connectivity. Define and maintain role hierarchies, function security policies, and provisioning mechanisms. Perform vulnerability scanning using Qualys Guard and recommend remediation actions. Customize roles and responsibilities while configuring Single Sign-On (SSO) solutions. Analyze and report on application security configurations and compliance status. Support Software Development Life Cycle (SDLC) processes, including environment configuration and migration. Ensure robust User Access Provisioning, Application Control, and Security management. Deliver end-to-end Oracle Cloud Applications Security & Controls services. Required Skills & Expertise Cloud Security Cloud Services Cloud Technologies Diversity & Inclusion at Oracle At Oracle, we believe innovation thrives in an inclusive environment that embraces diverse perspectives. Our career opportunities span industries, roles, countries, and cultures, allowing employees to grow, innovate, and maintain work-life balance. With over 40 years of industry leadership, Oracle operates with integrity and excellence, serving some of the world s top companies. We are committed to fostering an inclusive workforce that encourages thought leadership and innovation. Oracle offers a highly competitive suite of employee benefits, including: Medical and life insurance Retirement planning options Parental leave policies Flexible work arrangements Opportunities to give back to the community through volunteer programs