2,023 Cloud Engineer Jobs in Gurgaon

Key Skills & Qualifications General Skill: Strong problem-solving and analytical skills Excellent communication and collaboration abilities Experience working in cross-functional teams Preferred Qualifications General:  B.Tech / M.Tech / MS / PhD in Computer Science, AI, Data Science, or related fields 410 years of experience in designing and implementing AI systems Experience in startup or fast-paced environments Strong portfolio or GitHub contributions   Excellent communication skills Experience with AWS, Azure, or GCP Infrastructure as Code (Terraform, CloudFormation) CI/CD pipelines, containerization (Docker, Kubernetes) Monitoring and scaling AI workloads Certifications in AWS/GCP/Azure Experience with MLOps pipelines Familiarity with serverless architectures

 Required, DevOps Engineer Cloud & CI/CD * Experience with AWS, Azure, or GCP * Infrastructure as Code (Terraform, CloudFormation) CI/CD pipelines, containerization (Docker, Kubernetes) * Monitoring and scaling AI workloads DevOps Engineer Cloud & CI/CD * Certifications in AWS/GCP/Azure * Experience with MLOps pipelines * Familiarity with serverless architectures night shift 5.5 working days First round telephonic / google meet / Tech Round by  tech head (via Google Meet)       

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.)

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.

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

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 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.

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

We are looking for an experienced Network Automation Engineer to design, implement, and optimize automation solutions for our Private Cloud datacenter network, which underpins large-scale AI/ML GPU and TPU workloads. This role focuses on automating configuration, provisioning, and monitoring of high-performance networking devices to ensure low latency, high throughput, and reliability in a mission-critical environment. This role involves automating network device management as well as OS-level network configurations on servers. Expertise in Ansible and Python is essential, and experience with GoLang is a strong plus.  Key Responsibilities: Develop and maintain network automation frameworks for large-scale datacenter environments supporting AI/ML workloads. Build Ansible playbooks, roles, and modules to automate device configurations, software upgrades, and compliance checks across multi-vendor environments. Design and implement Python-based automation scripts and tools to integrate with APIs, orchestration platforms, and monitoring systems. Automate OS core networking configurations on servers (Linux / Windows / Hypervisor) including bonding, VLANs, routing tables, kernel network parameters, MTU tuning, and NIC performance optimization.

As a Virtualization Engineer, you will be responsible for designing, deploying, and managing KVM-based virtualization environments to meet organizational requirements. You will leverage Apache CloudStack for orchestration, configuration management, and provisioning of virtual resources. Your key responsibilities will include: - Developing and maintaining automation scripts using Ansible and Python to automate tasks like provisioning, monitoring, and configuration management. - Implementing Infrastructure-as-Code principles to ensure consistency and repeatability in deployments. - Monitoring virtualization infrastructure performance, identifying bottlenecks, and optimizing resource allocation. - Proactively ensuring high availability, scalability, and disaster recovery readiness in virtualized environments. - Implementing security best practices and compliance measures, conducting regular security audits, and vulnerability assessments. - Providing technical support and troubleshooting expertise for complex virtualization issues, collaborating with cross-functional teams to resolve incidents. To qualify for this position, you should: - Hold a Bachelor's degree in Computer Science, Engineering, or a related field, or possess equivalent practical experience. - Have a minimum of 12+ years of experience in designing and managing KVM-based virtualization environments. - Demonstrate hands-on expertise with Apache CloudStack for orchestration and management of virtualized infrastructure. - Possess strong scripting skills in Ansible and Python for infrastructure automation. - Be familiar with VMware virtualization technologies and have experience deploying and managing virtualized instances on AWS cloud. - Have a solid understanding of networking concepts, storage technologies, and virtualization architectures. - Be able to troubleshoot complex technical issues independently and provide effective solutions. - Demonstrate excellent communication skills and the ability to collaborate effectively within a team environment. - Possess relevant certifications such as RHCE, AWS Certified Solutions Architect, or similar credentials. Omitting additional details of the company as it is not present in the provided job description.,

As a Cloud Systems Engineer in the DevOps and Cloud Team at GlobalLogic, you will play a crucial role in managing diverse production and non-production systems globally. Your responsibilities will include provisioning, configuring, and maintaining Azure and AWS cloud resources, such as virtual machines, storage, databases, and networking components, with a focus on security, availability, and scalability. You will collaborate with cross-functional teams to provide guidance on existing technologies, implement new features, and onboard third-party solutions. **Key Responsibilities:** - Provision, configure, and maintain Azure and AWS cloud resources, including virtual machines, storage, databases, and networking components, focusing on security, availability, and scalability (IaaS, IAC, DBaaS, PaaS, & SaaS). - Engineer, manage, and optimize the installation, configuration, and tuning of cloud infrastructure components for optimal performance and efficiency. - Participate in migrating and maintaining on-premises solutions to cloud-based PaaS and SaaS offerings, ensuring seamless functionality. - Assist in setting up parallel cloud environments to mirror existing infrastructure for efficient operations and maintenance across regions. - Collaborate with data engineering and analytics teams to implement new features and functionality in the Databricks environment. - Perform Azure cost management by analyzing usage and leveraging Azure Advisor recommendations for optimal resource allocation. - Assist with technology upgrades, cloud systems consolidation, and cleanup initiatives for streamlined infrastructure and resource optimization. - Respond to major incidents, participate in conference calls, and support critical IT processes. - Develop and enforce policies and procedures for consistent platform provisioning, uptime, and regulatory compliance. - Provide ongoing support and maintenance for critical systems and infrastructure components. **Qualifications Required:** - Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience. - Certifications from Microsoft are preferred. - Excellent verbal and written communication skills in English. - Strong understanding of Azure cost management and optimization. - Hands-on experience with managing AWS S3 buckets. - Expertise in troubleshooting network configurations and automation tools like Salt, Puppet, Ansible, or SCCM.,

As a Cloud Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining robust, scalable, and testable infrastructure-as-code projects using CDK for Terraform (CDKTF) with either Python or TypeScript. You will collaborate closely with engineering and DevOps teams to ensure smooth deployment workflows and efficient management of infrastructure state. Key Responsibilities: - Develop and maintain infrastructure as code using CDK for Terraform (CDKTF) with Python or TypeScript. - Write reusable code modules using Python classes or TypeScript constructs to model Terraform resources. - Manage infrastructure lifecycle, deployment, and state using Terraform CLI and Terraform Cloud. - Utilize virtual environments and dependency managers (e.g., pip/venv for Python, npm for TypeScript). - Write test cases using pytest (Python) or Jest (TypeScript) to ensure code quality. - Automate provisioning and validation scripts using language-native tooling. - Troubleshoot and resolve infrastructure drift, state management issues, and deployment errors. - Maintain clear and updated documentation for infrastructure code and workflows. - Stay current with CDKTF, Terraform, and ecosystem best practices. Qualifications: - 2+ years of experience with CDK for Terraform (CDKTF) in either Python or TypeScript. - Strong programming background in Python with 4+ years of experience, OOP, virtualenv/pip, and scripting for infrastructure. - Strong programming background in TypeScript with 4+ years of experience, interfaces, modules, classes, typing, and Node.js. - Hands-on experience with Terraform CLI commands such as terraform init, plan, apply, and validate. - Experience in managing Terraform state, modules, and providers. - Familiarity with writing tests using pytest (Python) or Jest (TypeScript). - Proficiency in debugging infrastructure code and optimizing deployment flows. - Ability to work independently and collaboratively in DevOps-heavy environments.,

Role Overview: As a Cloud DevOps Engineer at SecLogic, you will be responsible for building cloud security capabilities, conducting security research, and analyzing cloud services to identify and address security gaps. You will contribute to the development of protection strategies and stay up-to-date on emerging threats in the cloud environment. This is a full-time on-site role located in Noida. Key Responsibilities: - Utilize your strong cloud DevOps experience to build cloud security capabilities - Conduct reverse engineering and general security research - Analyze cloud services to identify security gaps and develop protection strategies - Stay informed about emerging threats in cloud security - Contribute towards existing product development by providing insights and solutions Qualifications Required: - 2-3 years of work experience with a focus on security research or DevSecOps - Knowledge of emerging threats in cloud security - Familiarity with Kubernetes deployment including EKS, GKE, & AKS - Strong problem-solving and critical-thinking skills - Excellent written and verbal communication skills - Bachelor's degree in Computer Science, Information Security, or a related field - Experience with DevOps/DevSecOps and cloud certifications is mandatory - Knowledge of CI/CD setup and certifications such as CISSP, CEH, or OSCP are a plus - Understanding of secure coding practices and cloud architecture - Proficiency in Python scripting is a must-have skill for this role Note: The role is onsite in Noida and offers an opportunity to work on SecLogic's AI Powered Cloud Application Detection & Response platform for cloud and Kubernetes environments.,

You will be working at SCG in India, where the operations are being modernized by integrating cloud infrastructure and digital platforms to scale sustainably and efficiently. As a Cloud Engineer at SCG, your responsibilities will include: - Deploying, managing, and optimizing cloud infrastructure using AWS, Azure, or GCP. - Monitoring system performance and availability to ensure smooth operations. - Supporting the integration of applications into cloud environments. - Implementing backup, disaster recovery, and security measures to safeguard the systems. - Documenting configurations and providing technical guidance to the team. To qualify for this role, you should have: - A Bachelors's degree in IT, Computer Science, or related fields. - At least 3 years of experience in cloud roles; however, new graduates with cloud certifications are also welcome. - Familiarity with cloud services, virtualization, and scripting. - Strong troubleshooting and collaboration skills to effectively work in a team environment. Additionally, at SCG, you will have opportunities for career development with the chance to advance into cloud architecture, DevOps, or regional infrastructure leadership roles.,

As a Senior Cloud Data Developer, you will be responsible for bridging the gap between data engineering and cloud-native application development. Your role will involve utilizing your strong programming skills and data engineering expertise to build and maintain scalable data solutions in the cloud. Core Responsibilities: - Design and develop data-centric applications using Java Spring Boot and AWS services - Create and maintain scalable ETL pipelines using AWS EMR and Apache NiFi - Implement data workflows and orchestration using AWS MWAA (Managed Workflows for Apache Airflow) - Build real-time data processing solutions using AWS SNS/SQS and AWS Pipes - Develop and optimize data storage solutions using AWS Aurora and S3 - Manage data discovery and metadata using AWS Glue Data Catalog - Create search and analytics solutions using AWS OpenSearch Service - Design and implement event-driven architectures for data processing Qualifications Required: - Strong proficiency in Java and Spring Boot framework - Extensive experience with AWS data services such as AWS EMR, AWS Glue Data Catalog, AWS OpenSearch Service, AWS Aurora, and AWS S3 - Expertise in data pipeline development using Apache NiFi, AWS MWAA, AWS Pipes, and AWS SNS/SQS This company is looking for a candidate who can work with cutting-edge cloud technologies, develop data-intensive applications, create efficient data pipelines, and build robust data processing systems using AWS services and modern development practices.,

As a Cloud Data Engineer with QA, you will be an integral part of a Cloud Data Modernization initiative aimed at migrating an on-premises Enterprise Data Warehouse (SQL Server) to a modern cloud-based data platform using Azure and Snowflake. Your role will require a blend of data engineering, cloud platform expertise, and data quality assurance. **Key Responsibilities:** - Design, develop, and implement scalable data platform solutions using Azure and Snowflake - Migrate and modernize on-premises ETL pipelines (SSIS, T-SQL) to cloud-native solutions - Build and optimize data pipelines using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, and Azure Data Lake Storage Gen2 (ADLS Gen2) - Implement DevOps practices and CI/CD workflows using GitHub Actions - Collaborate with cross-functional teams to ensure seamless data integration and delivery - Conduct thorough data validation and QA testing to ensure consistency and accuracy - Troubleshoot and optimize data workflows for performance and reliability - Ensure compliance with data security and industry standards **Qualifications Required:** - 3+ years of experience as a Cloud Data Engineer - Strong hands-on experience with Azure Cloud data tools such as ADF, SHIR, Logic Apps, ADLS Gen2, and Blob Storage - Expertise in Snowflake for cloud data warehousing - Proficient in ETL development using SQL Server, SSIS, and T-SQL - Solid scripting skills in Python for data processing and validation - Experience implementing CI/CD pipelines using GitHub Actions - Familiarity with Agile methodologies - Proven experience in data validation, unit testing, and QA for data migration projects - Strong analytical mindset and attention to detail - Excellent communication and collaboration skills - Ability to work independently and adapt to new technologies quickly If there are any additional details about the company in the job description, please provide them separately for inclusion.,

Job Description: You have direct customer facing experience with a SaaS or IaaS/PaaS production support roles. It is mandatory to have hands-on experience in GitLab based application deployment into K8S clusters and executing Kubectl commands through CLI. You also possess prior experience in production M&O tools usage, log analysis, and production incident management. Additionally, you are skilled in performing Distributed Tracing of API executions using industry standard API performance monitoring tools. - Direct customer facing experience with a SaaS or IaaS/PaaS production support roles - Hands-on experience in GitLab based application deployment into K8S clusters and Kubectl commands - Prior experience in production M&O tools usage, log analysis, production incident management - Experience in performing Distributed Tracing of API executions using industry standard API performance monitoring tools About Us: As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one. Disclaimer: Which includes being a United States Affirmative Action Employer,

As an AWS Cloud Engineer, your role will involve understanding clients' infrastructure and various applications running on the servers. You will be responsible for writing, reviewing, and approving automation and infrastructure code. Additionally, you will collaborate with project teams to build automation pipelines for application environment deployments. Your innovative thinking will be crucial as you brainstorm new ideas and ways to improve development delivery. You should be able to present and communicate architecture in a visual form and evaluate potential single points of failure within the Cloud infrastructure. Furthermore, you will recommend risk mitigation steps to build out a high availability solution and apply your experience and technical knowledge to resolve complex Operations challenges. Your qualifications should include: - 7+ years of strong experience in Apache/Tomcat, Linux, and open-source technology stacks. - Designing, building, and supporting a robust internal PAAS (Platform as a Service) capability. - Hands-on experience with AWS cloud and its various services like VPC, EC2, RDS, Security Groups, IAM, ECS, Code Deploy, CloudFront, S3, Lambda, IoT, CloudFormation, etc. - Establishing new DevOps practices for cloud environments. - Managing production infrastructure with tools like Terraform, CloudFormation, etc. - Good understanding of CI/CD tools, practices, processes & applications such as Ansible, Salt, Git, Jenkins, etc. - Provisioning critical system security by leveraging best practices and prolific cloud security solutions. - Effectively communicating issues, risks, and dependencies with project stakeholders, escalating where appropriate. - Providing recommendations for architecture and process improvements. Preferred qualifications would include knowledge of GCP and Azure cloud, AWS Solution Architect/DevOps Engineer certification, creating infrastructure architectural designs for IT Cloud deployments, and a desire to engage in continuous learning to stay updated on the latest DevOps technologies and AWS product updates. Please note that the company details were not provided in the job description. As an AWS Cloud Engineer, your role will involve understanding clients' infrastructure and various applications running on the servers. You will be responsible for writing, reviewing, and approving automation and infrastructure code. Additionally, you will collaborate with project teams to build automation pipelines for application environment deployments. Your innovative thinking will be crucial as you brainstorm new ideas and ways to improve development delivery. You should be able to present and communicate architecture in a visual form and evaluate potential single points of failure within the Cloud infrastructure. Furthermore, you will recommend risk mitigation steps to build out a high availability solution and apply your experience and technical knowledge to resolve complex Operations challenges. Your qualifications should include: - 7+ years of strong experience in Apache/Tomcat, Linux, and open-source technology stacks. - Designing, building, and supporting a robust internal PAAS (Platform as a Service) capability. - Hands-on experience with AWS cloud and its various services like VPC, EC2, RDS, Security Groups, IAM, ECS, Code Deploy, CloudFront, S3, Lambda, IoT, CloudFormation, etc. - Establishing new DevOps practices for cloud environments. - Managing production infrastructure with tools like Terraform, CloudFormation, etc. - Good understanding of CI/CD tools, practices, processes & applications such as Ansible, Salt, Git, Jenkins, etc. - Provisioning critical system security by leveraging best practices and prolific cloud security solutions. - Effectively communicating issues, risks, and dependencies with project stakeholders, escalating where appropriate. - Providing recommendations for architecture and process improvements. Preferred qualifications would include knowledge of GCP and Azure cloud, AWS Solution Architect/DevOps Engineer certification, creating infrastructure architectural designs for IT Cloud deployments, and a desire to engage in continuous learning to stay updated on the latest DevOps technologies and AWS product updates. Please note that the company details were not provided in the job description.