384 Cloud Engineer Jobs in Bangalore

Hello,I hope you are doing well!Your Profile has shortlisted for Azure AdminLocation: Mumbai Exp 6 yrs to 12 yrsNotice Period Immediate 30 days Microsoft Azure;cloud computing;cloud providers| Primary Skills * Azure Secondary Skills * Window location * Mumbai Detailed JD's * Azure Administrator with Windows and Scripting skillset: Provisioning and administration experience on Azure IaaS (compute; storage & network) / PaaS services. Experience on configuring and management of Azure Policies; Azure AD; IAM; Log Analytics; Key Vault; Load Balancer; Application Gateway; Traffic Manager; Scale-set; DNS; Azure Monitor is required. Hands on Experience on provisioning; Managing Azure vNet; vNet Peering; IP Management; Resource Management; NSG; VPN configuration. Expertise on Azure IAM; MFA & AAD Experience on troubleshooting windows in Azure environment. Experience of Azure ARM Templates and make the necessary changes as per the need. Experience in setting up monitoring; analytical; optimization tools (Azure Native Services). Experience in Azure Subscription management; Azure Advisory & Azure cost management. Track the performance; security; and health of your infrastructure with the tools available in Azure Monitor. Create/manage technical reference documentation (policy; procedures; knowledgebase; Runbooks; etc.) Automating the repetitive tasks on Azure infrastructure using Azure functions with any scripting language such as Windows PowerShell / Python scripting. Good scripting knowledge on Windows PowerShell or Python is recommended. In-depth knowledge on installation; configuration and troubleshooting of Windows Servers. Apply Windows OS patches and upgrades on a regular basis. Configure / add new services as necessary. Fault finding; analysis and of logging information for reporting of performance exception. Debug/troubleshoot memory; filesystem issues etc. Configure; Monitor & Perform Native Azure Back-ups and recovery. Deploy applications; performance fine tuning; troubleshooting; maintain security; and automate routine procedures through scripting. Experience in systems administration supporting a medium to large scale Windows Server environment. Knowledge on Azure Site Recovery Manager will be a plus. Knowledge on ServiceNow is recommended. Excellent soft skills & Communication (Verbal and Written If JD is matching to your profile kindly share below details and updated resume on SHRUTI.VINOD-SONAWANE@CAPGEMINI.COMTotal Exp Relevant Exp Azure/WindowsNotice Period Current CTC Expected CTC Current Company Current Location Preferred Location -Having all previous companies documents Offer Letter/Reliving letter/PF/Experience letter Y/NAvailable for interview pls mention time - PAN Number -

Job Opening DevOps Engineer Location: Bangalore (Bangalore candidates preferred) Work Mode: Work From Office (WFO) Timings: 10:00 AM 7:00 PM Employment Type: Contract (6 Months) Experience Required: 47 Years Notice Period: Immediate Joiners Only Interview Mode: Virtua About the Role We are seeking a passionate DevOps Engineer to manage and optimize our cloud infrastructure on AWS. The ideal candidate enjoys solving complex problems, driving scalability, and working with cutting-edge technologies in a dynamic environment. Key Responsibilities Manage and optimize cloud infrastructure across AWS and GCP to ensure scalability and high availability. Monitor system performance, troubleshoot issues, and implement effective solutions. Ensure infrastructure security through access controls, encryption, and compliance best practices. Collaborate with developers, product teams, and stakeholders to support infrastructure requirements. Manage and monitor databases, storage, and other critical resources. Requirements 47 years of proven experience in DevOps. Strong hands-on expertise with AWS (knowledge of GCP is a plus). Proficiency in Linux systems, scripting, and automation. Experience with monitoring tools such as New Relic, Prometheus, Grafana, and CloudWatch. Solid understanding of cloud security and compliance best practices.

We are looking for a Senior Kubernetes Platform Engineer with 10+ years of infrastructure experience to design and implement the Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform. This role focuses on automating the Kubernetes layer and its dependencies (e.g., GPU drivers, networking, runtime) using 100% GitOps workflows. You will work across teams to deliver a fully declarative, scalable, and reproducible infrastructure stackfrom hardware to Kubernetes and platform services.  Key Responsibilities Architect and implement GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD. Develop and manage declarative infrastructure components for: o GPU stack deployment (e.g., NVIDIA GPU Operator) o Container runtime configuration (Containerd) o Networking layers (CNI plugins like Calico, Cilium, etc.)

Senior Implementation Engineer- 9 to 14 years- Work from Home (US shift)- 30 to 35 Lakhs PAJob Category: EngineeringJob Type: Full TimeJob Location: Work From HomeSalary: 30-35 LPAYears of Experience: 9-14 yearsLinkedInFacebookTwitterEmailWhatsAppCopy LinkShareSenior Implementation Engineer to join our Professional Services team to provide implementation and consulting services to our customers. Ideal candidates possess must possess good knowledge on working with EDI/B2B integration products, EDI mapping and communication protocols like AS2, SFTP etc. What You Will Be Doing Design end to end integration solutions for cloud customers.Work with customer to understand the business requirements.Develop EDI maps and business processes.Create communication setups with trading partners for AS2, SFTP.Create Unit test plan and perform unit testing.Assist with System Integration testing and User Acceptance testing and resolve issues.Conduct performance testing for high volume customers and fine tune integrations to achieve desired performance.Create support documentation and transition the project to support.Create go-live plan and warranty support plan.Work effectively with other internal departments to ensure the highest level of support for customers.Exhibit a sense of ownership of customer systems and work on issues until completely resolvedHandle multiple projects simultaneously within established time constraints Requirements 7-10 years of experience with any of the EDI integration products.Good understanding of ANSI X12 and EDIFACT standards.Experience with XML, Flat Files and SpreadsheetsExperience with transfer protocols such AS2, FTP/s, SFTP, HTTP/sExperience working with REST API.Good understanding of SQL queries and joins.Team player with good written and verbal Communication skillsAnalytical and problem-solving skillsLinkedInFacebookTwitterEmailWhatsAppCopy LinkShare

Cybersecurity Professional Experience Level: 3-10 Years Employment Type: Full-Time About the Role We are seeking an experienced Cybersecurity Professional to join our security team and help protect our organization's critical assets, infrastructure, and data. The ideal candidate will have a proven track record in identifying vulnerabilities, implementing security controls, and responding to security incidents. Key Responsibilities Security Operations: Monitor, detect, and respond to security incidents and threats across the organization's infrastructure Vulnerability Management: Conduct regular security assessments, penetration testing, and vulnerability scans; remediate identified risks Security Architecture: Design and implement security solutions including firewalls, IDS/IPS, SIEM, EDR, and other security tools Incident Response: Lead incident response activities, perform root cause analysis, and develop remediation strategies Compliance & Governance: Ensure compliance with security standards (ISO 27001, NIST, PCI-DSS, GDPR, SOC 2) and industry best practices Security Awareness: Develop and deliver security training programs to enhance organizational security posture Threat Intelligence: Stay current with emerging threats, vulnerabilities, and attack vectors; implement proactive defense measures Policy Development: Create and maintain security policies, procedures, and documentation Required Qualifications Education: Bachelor's degree in Computer Science, Information Security, or related field Experience: 3-10 years of hands-on experience in cybersecurity roles Technical Skills: Strong knowledge of network security, application security, and cloud security (AWS/Azure/GCP) Experience with security tools (SIEM, IDS/IPS, firewalls, antivirus, DLP) Proficiency in security frameworks and standards Understanding of operating systems (Windows, Linux, Unix) and network protocols Experience with scripting/programming (Python, PowerShell, Bash) Certifications: One or more relevant certifications such as CISSP, CEH, CISM, CompTIA Security+, GIAC, or equivalent Preferred Qualifications Experience with cloud security and DevSecOps practices Knowledge of threat hunting and malware analysis Familiarity with zero trust architecture Experience in regulated industries (finance, healthcare, government) Strong analytical and problem-solving abilities Excellent communication and stakeholder management skills What We Offer Competitive salary and performance bonuses Comprehensive health and wellness benefits Professional development and certification support Flexible work arrangements Cutting-edge security tools and technologies Collaborative and innovative work environment To Apply: Submit your resume and cover letter detailing your cybersecurity experience and achievements.

Job Title Software Engineer Job Summary We are looking for a skilled Software Engineer to join our development team. In this role, you will design, code, test, and maintain software applications, working closely with cross-functional teams to deliver high-quality solutions. You should be comfortable working in a dynamic environment, troubleshooting issues, and adapting to new technologies as needed. Key Responsibilities Software Design & Development Design, develop, and implement software applications using modern programming languages and frameworks. Write clean, efficient, scalable, and maintainable code following best practices. Translate requirements into functional software features and components. Testing, Debugging & Maintenance Perform unit testing, integration testing and other testing as needed to ensure software quality and reliability. Troubleshoot, debug, and resolve software defects or issues in a timely manner. Maintain and upgrade existing applications, ensuring they remain efficient, secure, and up-to-date. Collaboration & Cross-Functional Work Collaborate with product managers, designers, QA, and other stakeholders to define requirements, design solutions, and deliver features. Participate in code reviews, provide constructive feedback, and follow code standards and best practices. Document software design, code changes, workflows, and maintain version control records. Continuous Improvement & Learning Keep up-to-date with emerging technologies, development practices, and industry trends and apply them when beneficial. Contribute to process improvements, help refine development workflows, and enhance software quality and performance. Qualifications & Skills Bachelors degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Proven experience (or strong internship / project experience) in software development working with one or more programming languages (e.g. Java, Python, C++, JavaScript, etc.). Good understanding of the software development life cycle (SDLC), version control, and coding best practices. Strong problem-solving, debugging, and analytical skills. Ability to work collaboratively in a team environment, communicate clearly, and coordinate across teams. Adaptability and willingness to learn new technologies, frameworks, tools, and development practices quickly. (Optional / Preferred) Additional Skills Experience with front-end or back-end frameworks / libraries / full-stack development. Familiarity with database systems (SQL / NoSQL), web services / APIs, cloud services or DevOps practices depending on project needs. Experience with automated testing frameworks, CI/CD pipelines, containerization, or related modern development tools.

Job Title: Senior AWS DevOps Engineer   About Us We are seeking a skilled and motivated AWS DevOps Engineer to join our infrastructure team in Bengaluru. You will play a key role in automating, managing, and scaling cloud infrastructure and deployment pipelines for our applications and services. What Youll Do Responsibilities Design, build, and maintain cloud infrastructure on AWS using Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation (or similar), and configuration management tools like Ansible. Automate infrastructure provisioning, environment setups, and deployments to ensure reproducibility, scalability, security, and reliability. Manage containerization and orchestration for applications using Docker and Kubernetes (or managed Kubernetes services such as AWS EKS); create and maintain Helm charts for application deployment. Build, maintain, and optimize CI/CD pipelines enabling automated, consistent build, test, and deployment workflows across environments (development, staging, production). Plan and execute application migrations either from on-premise/data-center infrastructure to cloud or across cloud environments. Script and automate routine tasks related to infrastructure, deployment, monitoring, backups, maintenance, etc., using scripting languages like Python, Bash, or Shell. Monitor cloud infrastructure and application performance, respond to incidents, perform root-cause analysis, and ensure high availability and reliability. Implement security best practices: manage IAM, network configurations (VPCs), secure access controls, compliance, and resource-hardening. Collaborate with development, QA, operations, and product teams to ensure smooth integration between services, and support architecture, deployment strategies, and infrastructure planning. What You Bring Required Skills & Experience Strong hands-on experience (typically 5+ years, or as per seniority) in DevOps / Cloud / Infrastructure roles, with significant exposure to AWS cloud environment. Expertise in Infrastructure-as-Code (IaC) tools such as Terraform (or CloudFormation) and configuration management/automation tools such as Ansible (or equivalent). Solid experience with containerization (Docker) and container orchestration platforms (Kubernetes), including Helm chart management and deployments. Strong scripting and automation skills proficient in languages such as Python, Bash, or Shell. Familiarity with building and managing CI/CD pipelines using standard tools and workflows. Deep familiarity with core AWS services e.g. EC2, S3, RDS (or managed databases), VPC/networking, IAM, storage, security, and cloud-native infrastructure design. Good understanding of cloud migration practices (on-premise cloud or cross-cloud) and ability to manage migrations effectively. Strong troubleshooting, incident analysis, system monitoring, and performance-optimization skills. Awareness of security best practices for cloud infra: access management, network security, compliance, backups, disaster recovery, etc. Excellent communication and collaboration skills; ability to work across cross-functional teams (developers, QA, operations, product)

Key Skills: Strong experience in Python Hands-on with PySpark Expertise in ETL processes and data pipeline development Experience working on any Cloud platform (AWS or Azure) Interview Process: Level 1 (L1): Technical Interview Level 2 (L2): Technical Interview Executive Leadership (EL): Final round In-person Responsibilities: Design, build, and maintain scalable data pipelines and ETL workflows Work with large datasets to ensure efficient data flow and quality Collaborate with cross-functional teams to support data-driven solutions Optimize performance of data processing systems    Please revert back with your confirmation

Roles & Responsibilities  Integration of new applications into the existing system throughout the enterprise using java script, C#, MVC, API and WCF. To work independently on web-based enterprise applications. Build component-based applications in a distributed environment. Ideal candidate should have a flair for cutting edge technologies and be highly flexible to adapt in an Agile working environment. Provide end to end digital solutions in the BFSI sector. AWS cloud knowledge and Data migration Write scripts/ queries to analyze large amount of production data from any databases and server/client application logs Perform health check on production environment Provide sessions to business & other stakeholders for new changes deployed Identification of query/ complaint raised by the user with regards to product/ server/ network/ other issues and routing the same to the respective team.   Required Skills Languages : SQL, T-SQL, PostgreSQL Web : HTML/CSS RDBMS : Microsoft SQL Server 2008 R2/2012/2016/2017, Oracle12c Reporting Tools Used : MS Excel Keywords: Javascript,C#,MVC,WCF,Agile,Enterprise Applications,ASP.Net Core,Web API, WCF Services,XSLT Industry Type: IT-Software / Software Services Functional Area: Software Development - ERP / CRM  Immediate joiners preferred

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

Job Title: GCP Data Engineer Employment Type: Permanent Industry of the Employer: IT / Software Services Department / Functional Area: Data Engineering, Cloud Engineering Job Description GREETINGS FROM HUCON Solutions Hiring for Leading MNC GCP Data Engineer Role: GCP Data Engineer Skills: GCP, Python, SQL, BigQuery, ETL Data Pipeline Experience: 59 Years Locations: Chennai, Kochi, Bangalore, Hyderabad, Pune Eligibility Criteria Strong hands-on experience in Python, Pandas, NumPy Expertise in SQL and solid understanding of Data Warehousing concepts In-depth knowledge of GCP Services including: BigQuery, Cloud Run, Pub/Sub, Cloud Storage, Spanner, Cloud Composer, Dataflow, Cloud Functions Experience with Docker, Kubernetes, GitHub Strong communication and analytical skills Working experience with PySpark, Data Modeling, Dataproc, Terraform Google Cloud Professional Data Engineer certification is highly preferred Role Responsibilities Design, develop, and manage robust and scalable ETL / ELT pipelines on GCP using Dataflow, Cloud Run, BigQuery, Pub/Sub, and Cloud Composer Implement data ingestion workflows for structured and unstructured data sources Build and maintain data warehouses and data lakes using BigQuery, Cloud Storage, and other GCP tools Work with data modeling, architecture, and ETL/ELT frameworks Ensure best practices in performance, optimization, and cloud data management Keywords / Skills GCP, Python, SQL, BigQuery, ETL, Data Pipeline, Data Engineering, Cloud Run, Pub/Sub, Cloud Storage, Dataproc, Terraform, Kubernetes, Docker, Dataflow Total Experience: 5 to 9 Years Salary Type: Yearly Annual Salary Offered: As per company standards Job Type: Full Time Shift Type: Day Shift / Rotational (based on project requirement) Location of the Job: Chennai | Kochi | Bangalore | Hyderabad | Pune

Capgemini is Hiring on Below Requirment. Job Title: Machine Learning Engineer Location:Bangalore Experience:6-9 years Qualifications and Skills: Technical Expertise: Solid hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face building deep learning & machine learning models. Proficient in fine-tuning LLMs (Large Language Models) using LoRA, QLoRA, and PEFT techniques to optimize resource efficiency. Strong knowledge of Graph Databases (e.g., Neo4j, TigerGraph) and their integration with machine learning systems. Experience working with Vector Databases (e.g., Pinecone, Weaviate, Milvus, FAISS or ChromaDB). In-depth understanding of neural network architectures, including Transformers, GANs, and Diffusion Models. Solid expertise in NLP, retrieval systems, and multimodal AI integration (text, images, audio). Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn). Experience with deploying machine learning models on cloud platforms like AWS, GCP, or Azure. Soft Skills: Strong analytical and problem-solving abilities to tackle complex AI challenges. Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Ability to mentor junior developers and collaborate effectively within a cross-functional team. Self-driven with the ability to work independently on projects and tasks, while aligning with team goals. Education and Experience: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields. 2-5 years of experience in machine learning, generative AI, NLP, or graph-based AI solutions. Preferred Skills (Nice-to-Have): Familiarity with multimodal AI techniques (combining text, images, and other data types). Knowledge of MLOps practices, including tools for continuous deployment and monitoring of AI models. Published research or open-source contributions in generative AI or graph-based AI. Awareness of ethical AI principles and data privacy regulations.  

Fill below mandatory link.  MLops-virtual interview with Capgemini--all locations, Monday 27th Oct 2025 Fill out form   Position: - Machine Learning Ops Harvest Level: Software Engineer  Job Description:    Machine Learning Ops Engineer is the one whos responsible for managing and optimizing the deployment and operation of machine learning models in production environments. He/she works closely with data scientists, software engineers, and DevOps teams to ensure that machine learning models are integrated seamlessly into existing systems and can scale effectively. Role & Responsibilities Responsible for design and implementation of secure and scalable infrastructure in Azure cloud. Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects. Own and automate the infrastructure provisioning, demand forecasting and capacity planning. Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability. Setting up the alerts and monitoring for the platform. Monitoring system, application health, security controls and cost Envision, implement and rollout best MLOPs/DevOps tools and automation.  Requirements: Strong understanding of concepts related to Machine Learning, Architecture, and MLOps practices. Proficient in Azure Cloud practices and managing Azure Kubernetes Service infrastructure. Hands on experience in Python or any other scripting languages (Groovy, Shell) Experience with monitoring tools. Hands-on experience in Docker, Kubernetes. Excellent experience with source code management tools (git) Experience with modern cloud development practices such as Microservices Architecture, REST Interfaces etc. Experience in implementing Data/Model drift. Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline. Excellent Troubleshooting skills Always ready to learn more and adopt new cutting-edge technology with right value proposition.  

We are currently hiring for the position of SFMC CDP Data Cloud Developer at Capgemini. Your profile aligns with our requirements, and we would like to share the role details for your review. Role: SFMC CDP Data Cloud DeveloperGrade: C1 Experience Required: 6 to 10 years Location Options: Hyderabad, Bangalore, Chennai, Mumbai, Kolkata, Pune, Noida, Gurugram Role Responsibilities:Drive discussions on SFMC user stories and requirements with stakeholdersArchitect solutions across Marketing and CRM landscapeLead end to end SFMC deliverables for large marketing initiativesCreate use cases, user stories, and proof of conceptsMap Marketing Cloud data models to CRM solutionsDevelop training plans and conduct end user sessionsWork extensively on Email Studio including A B testing, segmentation, personalization, and triggered sendsAct as a key Capgemini representative to bridge business and technical teamsCreate HLD documents and support proposal responses and RFPsProvide best practices for SFMC and CDP implementation and deploymentSupport Salesforce Data Cloud Lead on technical estimations and project planningCoordinate with Salesforce support on upgrades, patches, and configuration best practicesPresent solutions around digital marketing, marketing automation, and data management Technical Skills Required:Minimum 5 years of hands on Marketing Cloud development experienceStrong experience in Salesforce Data Cloud and SFMC integrationsKnowledge of Journey Builder, Automation Studio, Email Studio, Social StudioExperience with Data Cloud modules such as event tracking, API and SDK integration, Salesforce connectors, Apex, JavaScript, and JSONStrong understanding of CDP components including Contact Builder, Audience Builder, Content Builder, and AutomationsCRM integration knowledge with SFDC or other CRM toolsGood understanding of security, roles, access controls, and campaign data governanceExpertise in data architecture, identity resolution, duplicate management, consent management, segmentation, and subscriber managementKnowledge of AMPscript, reporting tools like Tableau or Datorama, and Production deployment processesGood to have experience with mobile push notifications, Interaction Studio, Advertising Studio, and DMPMandatory: Salesforce Data Cloud CertificationGood to Have: SFMC Certification If you are interested in exploring this opportunity, kindly share the following details: Total ExperienceRelevant Experience in SFMC and Data CloudCurrent LocationPreferred LocationCurrent CTCExpected CTCNotice PeriodSalesforce Data Cloud Certification statusUpdated ResumeLooking forward to your response. Thanks & Regards,TA Team Capgemini

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

Required experience: 8-10 yrs Normal IST Shift timing: Overlap EST hours (2 hours +-)   Were looking for a Salesforce Architect to lead solution design and implementation across Sales Cloud, Revenue Cloud (CPQ & Billing). The ideal candidate will have strong experience designing scalable Salesforce architectures, optimizing revenue operations, and integrating multiple Salesforce modules.  Responsibilities: Design and oversee end-to-end Salesforce architecture for Sales and Revenue Cloud implementations. Configure and optimize UI Configurator within Rev Cloud. Define and integrate SIPP (Subscription, Incentive, Pricing & Promotions) modules. Implement and streamline Conga solutions for document automation and CLM. Partner with business and technical teams to align architecture with requirements. Ensure scalable, secure, and high-performance Salesforce solutions.  Required Skills: 8+ years of Salesforce experience; 3+ years in an architect role. Strong knowledge of Sales Cloud, Revenue Cloud (CPQ & Billing), SIPP, and Conga. Proven ability to lead technical design and guide development teams. Salesforce Architect or CPQ Specialist certification preferred. Excellent communication and client-facing skills.

Data Engineer Azure Data Factory, SQL, Python, Databricks, ETL  Data Engineer .Net + Azure Data Factory  We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining data systems and architectures that support our business needs. This role requires expertise in working with large datasets, cloud technologies, and advanced data platforms to ensure the availability, quality, and accessibility of data for business analytics and decision-making. Key Responsibilities: Design, build, and maintain data pipelines to collect, process, and store data efficiently from various sources. Work with cross-functional teams to understand business requirements and deliver data solutions that meet the needs of the organization. Optimize data storage and retrieval methods to enhance system performance and data quality. Integrate data from multiple sources (databases, data lakes, cloud storage, etc.) to build comprehensive data sets. Build and maintain data infrastructure, ensuring it is scalable, reliable, and secure. Implement and manage data governance policies, ensuring data accuracy, consistency, and compliance. Conduct data modeling and provide insights into the data through advanced analytics tools and reports. Perform data transformations and data wrangling tasks to prepare data for analysis. Troubleshoot data issues and collaborate with stakeholders to resolve technical challenges. Ensure the integrity of data pipelines and systems by conducting routine testing and validation. Required Skills and Qualifications: Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Proven experience as a Data Engineer or in a similar role, with a minimum of [X] years of experience. Proficiency in data engineering tools and technologies such as SQL, Python, Java, Scala, and ETL frameworks. Experience working with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, Snowflake, BigQuery). Solid understanding of data modeling, database design, and cloud data architectures. Hands-on experience with data warehousing concepts and tools (e.g., Apache Hive, Apache Spark). Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory. Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus. Strong problem-solving skills and ability to troubleshoot complex data issues. Familiarity with data security best practices and data privacy regulations (e.g., GDPR, HIPAA).

Job Description-  Data EngineerTotal yrs of exp should be 6+yrs   Must have 3+ years in Pyspark. Strong programming experience, Python, Pyspark, Scala is preferred. Experience in designing and implementing CI/CD, Build Management, and Development strategy. Experience with SQL and SQL Analytical functions, experience participating in key business, architectural and technical decisions Scope to get trained on AWS cloud technology Proficient in leveraging Spark for distributed data processing and transformation. Skilled in optimizing data pipelines for efficiency and scalability. Experience with real-time data processing and integration. Familiarity with Apache Hadoop ecosystem components. Strong problem-solving abilities in handling large-scale datasets. Ability to collaborate with cross-functional teams and communicate effectively with stakeholders. Primary Skills : Pyspark SQL Secondary Skill: Experience on AWS/Azure/GCP would be added advantage

Job Title: Software Engineer Platform & Infrastructure Department: Software Engineering Job Category: Individual Contributor Reporting Structure: Reports To: Manager Software Engineering Reportees: None Peers: Software Engineers, Software Architects Stakeholders: Product Managers Location: Europe (Travel Required) Job Summary: The Software Engineer Platform & Infrastructure is responsible for building and maintaining the foundational systems that enable efficient, secure, and reliable software delivery across the organization. This includes cloud infrastructure automation, CI/CD pipeline development, Kubernetes environments, SDKs, data engineering support, and observability tooling. The engineer collaborates closely with development teams to create performant, developer-friendly platforms for both applications and data systems. Key Responsibilities: Design and implement Infrastructure as Code (IaC) using tools like Terraform, Bicep, and manage Azure cloud and Kubernetes environments. Develop and maintain CI/CD pipelines in Azure DevOps. Implement and manage monitoring and alerting systems (e.g., Prometheus, Grafana, Azure Monitor). Maintain and enhance the internal Developer Portal (Backstage). Build reference or sample applications using C#, TypeScript, or Java. Support data workloads and pipelines (Spark, PySpark) under team guidance. Identify and automate repetitive operational tasks to improve reliability and efficiency. Enhance monitoring and observability for better visibility, reliability, and proactive issue detection. Collaborate with development teams to define requirements, architecture, and specifications. Coach and support teams on DevSecOps best practices and platform utilization. Contribute to improving developer onboarding and maintaining comprehensive platform documentation. Qualifications, Skills, and Competencies: Education: Bachelors degree in Computer Science, Engineering, or a related field. Language: Proficiency in English (spoken and written). Experience: Proven experience as a Software Engineer or Platform Engineer. Technical Proficiency: Strong programming experience in C#, Python, TypeScript, or Angular. Expertise in Azure Cloud, Terraform, and Bicep. Hands-on with Kubernetes, networking, and monitoring tools. Deep understanding of CI/CD pipelines and DevSecOps principles. Exposure or interest in data engineering (Python, PySpark). Soft Skills: Excellent problem-solving, communication, teamwork, and attention to detail. Mindset: Proactive, automation-driven, and collaborative approach to platform engineering. Success Criteria / KPIs: Software Development & Reliability High platform reliability and reproducibility (pipeline success rates, infra drift metrics). Increased automation across delivery processes (manual task reduction). Fewer manual interventions or deployment incidents. Compliance with Service Level Objectives (SLOs). Improved developer satisfaction with platform usability. Collaboration & Communication Active participation in defining platform standards and requirements. Effective collaboration with development and operations teams. Constructive contributions to design reviews and incident postmortems. Code Quality & Best Practices Adherence to coding and infrastructure standards (code review success rate, test coverage). Positive impact on reliability and maintainability (fewer failures, reusable IaC modules, faster builds). Problem Solving & Debugging Efficient incident detection and resolution (MTTR, incident count). Proactive prevention of recurring issues and improvement in system stability. Learning & Growth Continuous learning and implementation of emerging technologies. Tangible skill growth through certifications, trainings, and project impact. Timely Delivery On-time delivery of automation and infrastructure improvements. Minimal delays in development or deployment due to platform dependencies.

We have an exciting opportunity for the role of Data Engineer. Please find the details below: Job Description: Total experience required: 6+ yearsMinimum 3 years of experience in PySparkLocation: Pune Chennai and Bangalore. Strong programming skills in Python and PySpark (Scala is preferred)Experience in designing and implementing CI/CD, build management, and development strategiesHands-on experience with SQL and SQL analytical functionsExposure to key business, architectural, and technical decision-making processesOpportunity to get trained on AWS cloud technologyProficient in leveraging Spark for distributed data processing and transformationSkilled in optimizing data pipelines for efficiency and scalabilityExperience with real-time data processing and integrationFamiliarity with Apache Hadoop ecosystem componentsStrong problem-solving abilities for handling large-scale datasetsExcellent collaboration and communication skills for working with cross-functional teamsPrimary Skills: PySpark and SQL Secondary Skills: Experience with AWS, Azure, or GCP would be an added advantageIf interested, please apply. Best regards,HR Team, Capgemini