130 Cloud Functions Jobs - Page 6

We are looking for an experienced and motivated DevOps Engineer with 5 to 7 years of hands- on experience designing, implementing, and managing cloud infrastructure, particularly on Google Cloud Platform (GCP). The ideal candidate will have deep expertise in infrastructure, such as code (IaC), CI/CD pipelines, container orchestration, and cloud-native technologies. This role requires strong analytical skills, attention to detail, and a passion for optimizing cloud infrastructure performance and cost. Key Responsibilities Design, implement, and maintain scalable, reliable, and secure cloud infrastructure using Google Cloud Platform (GCP) services, including Compute Engine, Google Kubernetes Engine (GKE), Cloud Functions, Cloud Pub/Sub, BigQuery, and Cloud Storage. Build and manage CI/CD pipelines using GitHub, artifact repositories, and version control systems; enforce GitOps practices across environments. Leverage Docker, Kubernetes, and serverless architectures to support microservices and modern application deployments. Develop and manage Infrastructure as Code (IaC) using Terraform to automate environment provisioning. Implement observability tools like Prometheus, Grafana, and Google Cloud Monitoring for real-time system insights. Ensure best practices in cloud security, including IAM policies, encryption standards, and network security. Integrate and manage service mesh architectures such as Istio or Linkerd for secure and observable microservices communication. Troubleshoot and resolve infrastructure issues, ensuring high availability, disaster recovery, and performance optimization. Drive initiatives for cloud cost management and suggest optimization strategies for resource efficiency. Document technical architectures, processes, and procedures; ensure smooth knowledge transfer and operational readiness. Collaborate with cross-functional teams including Development, QA, Security, and Architecture teams to streamline deployment workflows. Preferred candidate profile 5+ years of DevOps/Cloud Engineering experience, with at least 3 years on GCP. Proficiency in Terraform, Docker, Kubernetes, and other DevOps toolchains. Strong experience with CI/CD tools, GitHub/GitLab, and artifact repositories. Deep understanding of cloud networking, VPCs, load balancing, firewalls, and VPNs. Expertise in monitoring and logging frameworks such as Prometheus, Grafana, and Stackdriver (Cloud Monitoring). Strong scripting skills in Python, Bash, or Go for automation tasks. Knowledge of data backup, high-availability systems, and disaster recovery strategies. Familiarity with service mesh technologies and microservices-based architecture. Excellent analytical, troubleshooting, and documentation skills. Effective communication and ability to work in a fast-paced, collaborative environment.

Role & responsibilities 4+ years of experience Good understanding of GCP cloud environment/services as below based on real migration projects Cloud run PostgreSQL Firestore Cloud storage Pub-sub Cloud scheduler Secret Manager Cloud logging Cloud Monitoring Cloud Load Balancing Cloud armor DNS CDN Apigee Secret Manager Knowledge of Java / Java frameworks. Have leveraged/ worked with any or all technology areas like Spring boot, Spring batch, Spring boot cloud etc. Experience with API, Microservice design principles and leveraged them in actual project implementation for integration. Should be good in communication and should be able to handle both customer and development team to deliver an outcome. Good to have Application migration/modernization experience Good to have GCP Associate / Professional Certification

ServiceNow Platform Senior Developer LOCATION - Chennai. Experience - 7+ years. Required Qualifications Comprehensive understanding and background in ServiceNow Discovery, including Cloud Discovery, and how each should populate the CMDB 2+ years' hands-on experience designing, implementing, and managing ServiceNow Discovery, including ServiceNow Cloud Discovery ServiceNow Cloud Discovery experience should include Cloud Storage, Cloud Functions, Cloud APIs, Cloud Containers, etc. Experience developing, documenting, implementing, and maintaining ServiceNow Discovery governance processes, procedures, policies and related documentation Strong knowledge of IP Subnets to develop effective ServiceNow Discovery schedules Experience designing and implementing MID-Servers for ServiceNow Discovery Experience creating / updating ServiceNow Discovery IP ranges and schedules Experience must include knowledge of, and the ability to properly interpret and act on, CI IRE rules, discovery logs (e.g.: errors), patterns and probes (e.g.: debugging) Knowledge of protocols such as HTTP, TCP, SNMP, SOAP, and REST System administration experience using SHELL/BASH and / or PowerShell Familiarity with XML and JSON/script language concepts Strong analytical and problem-solving ability Strong interpersonal skills Proven self-starter who is resourceful, takes the initiative, and sees it through Excellent verbal and written communication skills and a proven ability to interact professionally with a diverse group ServiceNow CSA or ITOM certifications

Role & Responsibilities: Pixel-perfect implementation of approved user interface and functional requirements. In-depth knowledge and understanding of Flutter and Dart. Experience working with Flutter state management approaches like MobX, BIOC, GetX, Provider, etc. Must have experience in Firebase (Firestore database, Cloud Functions). Must have 3+ years of experience in the Flutter framework to develop Android/iOS applications. Experienced in working with remote data via RESTful APIs and JSON. Bug fixing and improving application performance. Proficient understanding of code versioning tools, such as Git. Preferred Candidate Profile: Independent and self-motivated Fluent in written and spoken English Strong problem-solving skills Proactive and detail-oriented attitude Perks and Benefits Flexible schedule Paid time off 5-day work week Friendly and collaborative work environment Open-door policy Life Insurance

Job Requirements Position Overview: Reports to : Head - Enterprise Business Applications Function: Information Technology What youll do: 1. Data Integration and Pipeline Development Analyze business requirements and design scalable, automated data pipelines for integrating motorcycle retail and stock data across DMS systems globally. Collaborate with DMS providers to set up APIs with proper authorization and authentication. Create alternatives such as webbooks, SFTP uploads etc.. Architect cloud-based solutions using Google Cloud Services (Big Query, Cloud Functions, Cloud Run, Cloud Scheduler, Google Cloud Storage). Ensure strict adherence to country-specific data residency and privacy regulations. 2. System Stabilization and Optimization Work on improving the interface stability with business systems like Microsoft Dynamics 365, SAP, and Azure etc. Design and implement strategies for performance optimization, such as load balancing, adjusting thread counts, and middleware deployments. 3.Automation for Efficiency Gains Develop Python-based automation programs for reconciliation tasks across systems like SAP and Microsoft Dynamics 365, identifying interface issues and ensuring data accuracy. Process large datasets efficiently using tools like Pandas, Azure Synapse, and Big Query. Host and manage automated programs on Azure Data bricks, ensuring cluster optimization for cost and performance. 4.PDF Data Extraction and Reconciliation Build automation solutions to extract and reconcile data from legal and financial documents. Utilize deep learning for tasks like QR code detection within invoices, enabling faster and more accurate data processing. 5.SAP Integration and Custom Reports Automate SAP VIM (Vendor Invoice Management) reports using VBScript and Bash scripting. Develop SAP-to-Big Query data loading architectures, enabling seamless data flow via middleware, SQL Server, and cloud platforms. Manage delta and full loads for high-volume SAP data tables. 6.Data Visualization and Reporting Design and develop dashboards in Google Looker Studio to provide stakeholders with real-time insights into motorcycle retail, stock, and enabling Sales Warranty Registration. Build interactive visualizations that support decision-making by integrating data from Big Query and other sources. Collaborate with teams to ensure dashboard alignment with business needs. 7.Testing and GUI Automation Write Selenium test scripts for validating changes in Microsoft Dynamics 365 and other third-party DMS systems. Automate repetitive SAP tasks for Master Data Management, significantly improving team productivity. 8.Monitoring, Error Management, and Reporting Configure bots and alerts for proactive error detection and resolution across data pipelines and interfaces. Provide detailed reports and dashboards for stakeholders, offering real-time insights into retail, stock, and system performance metrics. 9.Finalizing the business requirements with the end users and process owners, preparing Functional Requirement Documents, and get the same implemented. 10.Responsible for coordinating with functional consultants of other modules for cross-functional solutions 11.Responsible for preparing the business process documents and test scripts along with the Business Process owner 12.Responsible for monitoring the projects assigned and publishing the review reports You will be measured on the following key metrics Customer (Business Users) satisfaction Quality of the solution approaches Number of open issues and delivery time Quality of documents prepared by you. What you'll bring: Experience: 1.Data Integration and Pipeline Development Experience designing and implementing data pipelines to collect, process, and store structured and unstructured data from multiple sources, including APIs, webbooks, SFTP, and DMS systems. Strong expertise in working with Google Cloud Platform (Big Query, Cloud Functions, Cloud Run, Cloud Scheduler, Cloud Storage) for cloud-based integration. Ability to handle data privacy regulations and residency constraints in international markets while transferring and processing data. Hands-on experience working with SAP and Microsoft Dynamics 365 to integrate and process retail, stock, and claim data. 2. Cloud and Big Data Technologies Deep understanding of Google Cloud Platform (GCP) and Azure services, including: Big Query Azure Data Lake, Azure Blob Storage Data bricks (Azure & GCP) for large-scale data transformations and processing. Experience in designing delta and full data load processes for high-volume databases. Ability to optimize cloud infrastructure, reducing latency and improving cost efficiency. 3. Data Processing and Automation Strong Python programming skills, with experience in using Pandas, NumPy for large-scale data transformations. Hands-on experience automating data reconciliation between SAP and Microsoft Dynamics 365, ensuring system accuracy and efficiency. Expertise in Selenium automation for UI-based testing and process automation. Experience in developing SAP GUI automation scripts using VBScript, Bash, and SAP GUI Scripting to extract, clean, and process financial and operational data. 4.Dashboard Development and Reporting Hands-on experience designing and developing Google Looker Studio dashboards for real-time data visualization and business reporting. Ability to integrate Big Query and other databases into interactive dashboards. Strong understanding of data visualization best practices to present complex data in an easy-to-understand manner for business stakeholders. 5. PDF Data Extraction and Machine Learning Experience working with machine learning models for extracting and processing PDF documents. Expertise in using deep learning for QR code detection and validation in invoice processing. 6. Testing and Quality Assurance Experience preparing and executing test scripts using Selenium for system testing in Microsoft Dynamics 365 and third-party DMS systems. Experience in SAP Master Data Management automation to improve team productivity and reduce manual efforts. Qualification: Bachelors/ Masters degree in Computer Science.