279 Cloud Sql Jobs - Page 8

About Us :. At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service all backed by TELUS, our multi-billion dollar telecommunications parent.. Required Skills :. 5+ years of industry experience in data engineering, business intelligence, or a related field with experience in manipulating, processing, and extracting value from datasets.. Expertise in architecting, designing, building, and deploying internal applications to support technology life cycle management, service delivery management, data, and business intelligence.. Experience in developing modular code for versatile pipelines or complex ingestion frameworks aimed at loading data into Cloud SQL and managing data migration from multiple on-premises sources.. Strong collaboration with analysts and business process owners to translate business requirements into technical solutions.. Proficiency in coding with scripting languages (Shell scripting, Python, SQL).. Deep understanding and hands-on experience with Google Cloud Platform (GCP) technologies, especially in data migration and warehousing, including Database Migration Service (DMS), Cloud SQL, BigQuery,. Dataflow, Data Catalog, Cloud Composer, Google Cloud Storage (GCS), IAM, Compute Engine, Cloud Data Fusion, and optionally Dataproc.. Adherence to best development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, and writing clean, modular, self-sustaining code.. Familiarity with CI/CD processes using GitHub, Cloud Build, and Google Cloud SDK.. Qualifications:. Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.. GCP Certified Data Engineer (preferred).. Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams, and business audiences.. Show more Show less

Who we are. About Stripe. Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.. About The Team. The Reporting Platform Data Foundations group maintains and evolves the core systems that power reporting data for Stripe's users. We're responsible for Aqueduct, the data ingestion and processing platform that powers core reporting data for millions of businesses on Stripe. We integrate with the latest Data Platform tooling, such as Falcon for real-time data. Our goal is to provide a robust, scalable, and efficient data infrastructure that enables clear and timely insights for Stripe's users.. What you'll do. As a Software Engineer on the Reporting Platform Data Foundations group, you will lead efforts to improve and redesign core data ingestion and processing systems that power reporting for millions of Stripe users. You'll tackle complex challenges in data management, scalability, and system architecture.. Responsibilities. Design and implement a new backfill model for reporting data that can handle hundreds of millions of row additions and updates efficiently. Revamp the end-to-end experience for product teams adding or changing API-backed datasets, improving ergonomics and clarity. Enhance the Aqueduct Dependency Resolver system, responsible for determining what critical data to update for Stripe’s users based on events. Areas include error management, observability, and delegation of issue resolution to product teams. Lead integration with the latest Data Platform tooling, such as Falcon for real-time data, while managing deprecation of older systems. Implement and improve data warehouse management practices, ensuring data freshness and reliability. Collaborate with product teams to understand their reporting needs and data requirements. Design and implement scalable solutions for data ingestion, processing, and storage. Onboard, spin up, and mentor engineers, and set the group’s technical direction and strategy. Who you are. We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.. Minimum Requirements. 8+ years of professional experience writing high quality production level code or software programs.. Extensive experience in designing and implementing large-scale data processing systems. Strong background in distributed systems and data pipeline architectures. Proficiency in at least one modern programming language (e.g., Go, Java, Python, Scala). Experience with big data technologies (e.g., Hadoop, Flink, Spark, Kafka, Pinot, Trino, Iceberg). Solid understanding of data modeling and database systems. Excellent problem-solving skills and ability to tackle complex technical challenges. Strong communication skills and ability to work effectively with cross-functional teams. Experience mentoring other engineers and driving technical initiatives. Preferred Qualifications. Experience with real-time data processing and streaming systems. Knowledge of data warehouse technologies and best practices. Experience in migrating legacy systems to modern architectures. Contributions to open-source projects or technical communities. In-office expectations. Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.. Pay and benefits. Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.. Show more Show less

Dear Candidate, We are hiring a Cloud Application Architect to design cloud-native applications that are scalable, secure, and resilient. Ideal for professionals experienced in modern architectures and distributed systems. Key Responsibilities: Architect cloud-based applications using microservices and serverless patterns Guide teams on best practices in scalability, observability, and fault tolerance Ensure integration with cloud services, APIs, and third-party systems Collaborate with stakeholders on application modernization and cloud-native transitions Required Skills & Qualifications: Proficiency with AWS, Azure, or GCP services for application development Experience in containerized and serverless architectures (Kubernetes, Lambda, Functions) Strong background in backend development (Java, Go, Node.js, or Python) Bonus: Familiarity with API gateways, service mesh, and CI/CD pipelines Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Project Role : Cloud Platform Architect Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring. Must have skills : Google Cloud Platform Architecture Summary: As a Cloud Platform Architect, you will be responsible for overseeing application architecture and deployment in cloud platform environments, including public cloud, private cloud, and hybrid cloud. Your typical day will involve designing cloud adoption plans, managing and monitoring cloud applications, and ensuring cloud application design meets business requirements. Roles & Responsibilities: - Design and implement cloud adoption plans, including public cloud, private cloud, and hybrid cloud environments. - Oversee cloud application design, ensuring it meets business requirements and aligns with industry best practices. - Manage and monitor cloud applications, ensuring they are secure, scalable, and highly available. - Collaborate with cross-functional teams to ensure cloud applications are integrated with other systems and services. - Stay up-to-date with the latest advancements in cloud technology, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience in Google Cloud Platform Architecture. - Good To Have Skills: Experience with other cloud platforms such as AWS or Azure. - Experience in designing and implementing cloud adoption plans. - Strong understanding of cloud application design and architecture. - Experience in managing and monitoring cloud applications. - Solid grasp of cloud security, scalability, and availability best practices.

Comprehensive understanding of BGP: Configure and troubleshoot in large global environments. Comprehensive understanding of routing concepts: Inter-VR routing, policy-based routing, routing protocols, route filtering, path selection, access-lists etc. Comprehensive understanding of switching concepts: VLANs, Layer 2, Mac-forwarding, vlan trunking, VRRP, Gratuitous ARP. Comprehensive understanding of firewall/security concepts: L2-L7, all versions of NAT, failover scenarios, zonal concepts, IPSec, L7 encryption concepts, URL filtering, DNS, security profiles and rules, proxying. Comprehensive understanding of Load Balancing concepts: Cloud LB and conventional LB and their differences in functionality. Good understanding of Public Cloud platforms: Preferably GCP; specifically Networking, Firewalling, IAM and how they relate to Cloud Native services (PSA, Cloud SQL, GCVE, Cloud Interconnects, BMS, FileStore, Netapp, etc). Good understanding of Infrastructure as Code (IAC) to provision resources: Must be able to customize and optimize the codebase to simplify deliveries. Good understanding of Linux administration: Using Linux to bridge technical gaps in Windows and understanding the tools available to troubleshoot network connectivity. Understanding of APIs: in order to expedite data collection and configuration to eliminate human error. Understanding of DevOps: how it can improve delivery and operation Primary Skills Products Juniper: MX, SRX, QFX Palo Alto: Physical and virtual firewalls, Panorama. Google Cloud Platform Squid Proxy Tools Terraform Algosec or similar tool for traffic flow governance. Ansible M2VM (GCP migration tool) Azure DevOps pipelines Azure DevOps GIT Mandatory languages Python HCL (HashiCorp Configuration Language) YAML JSON

Role Description Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank. What well offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities DesigningandimplementationofGCPinfrastructureusingIaC Automationofrecurringprocesses WorkingcloselywithdevelopmentteamsandimplementingCI/CDpipelinesforbuilding,testing and deployingapplications Containerizingapplicationsandorchestratingcontainers Designingandimplementationofapplicationenvironmentstoeasedevelopment,testing,and Release processes Monitoringtheinfrastructureandapplicationforimprovements Maintainingandupgradingcurrentprocesses Cost-cuttinganalysis Your skills and experience Experienceinworkingwith GoogleCloudPlatform Experienceincontainerizationandorchestration (Docker,GKE,ArtifactRegistry,CloudRun,CloudSQL) ExperiencewithIaC(Terraform) ExperienceinwritingCI/CDforapplicationsandinfrastructure(GitHubworkflows,Jenkins,etc.) Experienceinusingmonitoringtools(CloudMonitoring) Knowledgeofatleastonescriptinglanguage BasicDevSecOpsskills Experienceinuserandpermissionsmanagement(IAM) 3-5 Years of Experience as DevOps Engineer CertificationinGCPPreffered How well support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. In your role, you will be responsible for Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done Preferred technical and professional experience Experience with AEM Core Technologies OSGI Services, Apache Sling ,Granite Framework., Java Content Repository API, Java 8+, Localization Familiarity with building tools, Jenkin and Maven , Knowledge of version control tools, especially Git, Knowledge of Patterns and Good Practices to design and develop quality and clean code, Knowledge of HTML, CSS, and JavaScript , jQuery Familiarity with task management, bug tracking, and collaboration tools like JIRA and Confluence

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. In your role, you will be responsible for Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done Preferred technical and professional experience Experience with AEM Core Technologies OSGI Services, Apache Sling ,Granite Framework., Java Content Repository API, Java 8+, Localization Familiarity with building tools, Jenkin and Maven , Knowledge of version control tools, especially Git, Knowledge of Patterns and Good Practices to design and develop quality and clean code, Knowledge of HTML, CSS, and JavaScript , jQuery Familiarity with task management, bug tracking, and collaboration tools like JIRA and Confluence

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)

Skilled Multiple GCP services - GCS, Big Query, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets MA Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills

Skilled Multiple GCP services - GCS, Big Query, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets MA Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills

Salary: 20 to 35 LPA Exp: 5 to 8 years Location: Gurgaon (Hybrid) Notice: Immediate to 30 days..!! Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale data pipelines using GCP services such as BigQuery, Data Flow, PubSub, Dataproc, and Cloud Storage. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop complex SQL queries to extract insights from large datasets stored in Google Cloud SQL databases. Troubleshoot issues related to data processing workflows and provide timely resolutions. Desired Candidate Profile 5-9 years of experience in Data Engineering with expertise GCP & Biq query data engineering. Strong understanding of GCP Cloud Platform Administration including Compute Engine (Dataproc), Kubernetes Engine (K8s), Cloud Storage, Cloud SQL etc. . Experience working on big data analytics projects involving ETL processes using tools like Airflow or similar technologies.

Salary: 20 to 35 LPA Exp: 5 to 8 years Location: Gurgaon (Hybrid) Notice: Immediate to 30 days..!! Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale data pipelines using GCP services such as BigQuery, Data Flow, PubSub, Dataproc, and Cloud Storage. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop complex SQL queries to extract insights from large datasets stored in Google Cloud SQL databases. Troubleshoot issues related to data processing workflows and provide timely resolutions. Desired Candidate Profile 5-9 years of experience in Data Engineering with expertise GCP & Biq query data engineering. Strong understanding of GCP Cloud Platform Administration including Compute Engine (Dataproc), Kubernetes Engine (K8s), Cloud Storage, Cloud SQL etc. . Experience working on big data analytics projects involving ETL processes using tools like Airflow or similar technologies.

Salary: 20 to 35 LPA Exp: 4 to 8 years Location: Gurgaon Notice: Immediate to 30 days..!! Key Skills: GCP, Cloud, Pubsub, Data Engineer

Looking for 7–10 yrs exp (4+ in data modeling, 2–3 in Data Vault 2.0). Must know DBT, Dagster/Airflow, GCP (BigQuery, CloudSQL), and data modeling. DV 2.0 hands-on is a must. Docker is a plus.

We are seeking a highly skilled and experienced Senior Cloud Native Developer to join our team and drive the design, development, and delivery of cutting-edge cloud-based solutions on Google Cloud Platform (GCP). This role emphasizes technical expertise, best practices in cloud-native development, and a proactive approach to implementing scalable and secure cloud solutions. Responsibilities Design, develop, and deploy cloud-based solutions using GCP, adhering to architecture standards and best practices Code and implement Java applications using GCP Native Services like GKE, CloudRun, Functions, Firestore, CloudSQL, and Pub/Sub Select appropriate GCP services to address functional and non-functional requirements Demonstrate deep expertise in GCP PaaS, Serverless, and Database services Ensure compliance with security and regulatory standards across all cloud solutions Optimize cloud-based solutions to enhance performance, scalability, and cost-efficiency Stay updated on emerging cloud technologies and trends in the industry Collaborate with cross-functional teams to architect and deliver successful cloud implementations Leverage foundational knowledge of GCP AI services, including Vertex AI, Code Bison, and Gemini models when applicable Requirements 5+ years of extensive experience in designing, implementing, and maintaining applications on GCP Comprehensive expertise in using GCP services, including GKE, CloudRun, Functions, Firestore, Firebase, and Cloud SQL Knowledge of advanced GCP services, such as Apigee, Spanner, Memorystore, Service Mesh, Gemini Code Assist, Vertex AI, and Cloud Monitoring Solid understanding of cloud security best practices and expertise in implementing security controls in GCP Proficiency in cloud architecture principles and best practices, with a focus on scalable and reliable solutions Experience with automation and configuration management tools, particularly Terraform, along with a strong grasp of DevOps principles Familiarity with front-end technologies like Angular or React Nice to have Familiarity with GCP GenAI solutions and models, including Vertex AI, Codebison, and Gemini models Background in working with front-end frameworks and technologies to complement back-end cloud development Capability to design end-to-end solutions integrating modern AI and cloud technologies

DevOps Engineer (Google Cloud Platform) About Us IntelligentDX is a dynamic and innovative company dedicated to changing the Software landscape in the Healthcare industry. We are looking for a talented and experienced DevOps Engineer to join our growing team and help us build and maintain our scalable, reliable, and secure cloud infrastructure on Google Cloud Platform. Job Summary We are seeking a highly skilled DevOps Engineer with 4 years of hands-on experience, specifically with Google Cloud technologies. The ideal candidate will be responsible for designing, implementing, and maintaining our cloud infrastructure, ensuring the scalability, reliability, and security of our microservices-based software services. You will play a crucial role in automating our development and deployment pipelines, managing cloud resources, and supporting our engineering teams in delivering high-quality applications. Responsibilities Design, implement, and manage robust, scalable, and secure cloud infrastructure on Google Cloud Platform (GCP). Implement and enforce best practices for GCP Identity and Access Management (IAM) to ensure secure access control. Deploy, manage, and optimize applications leveraging Google Cloud Run for serverless deployments. Configure and maintain Google Cloud API Gateway for efficient and secure API management. Implement and monitor security measures across our GCP environment, including network security, data encryption, and vulnerability management. Manage and optimize cloud-based databases, primarily Google Cloud SQL, ensuring data integrity, performance, and reliability. Lead the setup and implementation of new applications and services within our GCP environment. Troubleshoot and resolve issues related to Cross-Origin Resource Sharing (CORS) configurations and other API connectivity problems. Provide ongoing API support to development teams, ensuring smooth integration and operation. Continuously work on improving the scalability and reliability of our software services, which are built as microservices. Develop and maintain CI/CD pipelines to automate software delivery and infrastructure provisioning. Monitor system performance, identify bottlenecks, and implement solutions to optimize resource utilization. Collaborate closely with development, QA, and product teams to ensure seamless deployment and operation of applications. Participate in on-call rotations to provide timely support for critical production issues. Qualifications Required Skills & Experience Minimum of 4 years of hands-on experience as a DevOps Engineer with a strong focus on Google Cloud Platform (GCP). Proven expertise in GCP services, including: GCP IAM: Strong understanding of roles, permissions, service accounts, and best practices. Cloud Run: Experience deploying and managing containerized applications. API Gateway: Experience in setting up and managing APIs. Security: Solid understanding of cloud security principles, network security (VPC, firewall rules), and data protection. Cloud SQL: Hands-on experience with database setup, management, and optimization. Demonstrated experience with the setup and implementation of cloud-native applications. Familiarity with addressing and resolving CORS issues. Experience providing API support and ensuring API reliability. Deep understanding of microservices architecture and best practices for their deployment and management. Strong commitment to building scalable and reliable software services. Proficiency in scripting languages (e.g., Python, Bash) and automation tools. Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, Cloud Deployment Manager). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Excellent problem-solving skills and a proactive approach to identifying and resolving issues. Strong communication and collaboration abilities. Preferred Qualifications GCP certification (e.g., Professional Cloud DevOps Engineer, Professional Cloud Architect). Experience with monitoring and logging tools (e.g., Cloud Monitoring, Cloud Logging, Prometheus, Grafana). Knowledge of other cloud platforms (AWS, Azure) is a plus. Experience with Git and CI/CD platforms (e.g., GitLab CI, Jenkins, Cloud Build). What We Offer Health insurance, paid time off, and professional development opportunities. Fun working environment Flattened hierarchy, where everyone has a say Free snacks, games, and happy hour outings If you are a passionate DevOps Engineer with a proven track record of building and managing robust systems on Google Cloud Platform, we encourage you to apply!

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.You'll work with visionaries across multiple industries to improve the hybrid cloud and Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. In your role, you will be responsible for: Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done Preferred technical and professional experience Experience with AEM Core Technologies OSGI Services, Apache Sling ,Granite Framework., Java Content Repository API, Java 8+, Localization Familiarity with building tools, Jenkin and Maven , Knowledge of version control tools, especially Git, Knowledge of Patterns and Good Practices to design and develop quality and clean code, Knowledge of HTML, CSS, and JavaScript , jQuery Familiarity with task management, bug tracking, and collaboration tools like JIRA and Confluence

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)

What you’ll be doing: Assist in developing machine learning models based on project requirements Work with datasets by preprocessing, selecting appropriate data representations, and ensuring data quality. Performing statistical analysis and fine-tuning using test results. Support training and retraining of ML systems as needed. Help build data pipelines for collecting and processing data efficiently. Follow coding and quality standards while developing AI/ML solutions Contribute to frameworks that help operationalize AI models What we seek in you: 8+ years of experience in IT Industry Strong on programming languages like Python One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Storage: CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database Ingest: Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

What you’ll be doing: Assist in developing machine learning models based on project requirements Work with datasets by preprocessing, selecting appropriate data representations, and ensuring data quality. Performing statistical analysis and fine-tuning using test results. Support training and retraining of ML systems as needed. Help build data pipelines for collecting and processing data efficiently. Follow coding and quality standards while developing AI/ML solutions Contribute to frameworks that help operationalize AI models What we seek in you: Strong on programming languages like Python, Java One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Storage: CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database Ingest: Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

Job Title: Staff Engineer Gen-AI Experience: 8.0 Year To 10.0 Year CTC Salary: 50.00 LPA To 65.00 LPA Location: Bengaluru/Bangalore Job Description Build Gen-AI native products: Architect, build, and ship platforms powered by LLMs, agents, and predictive AI. Stay hands-on: Design systems, write code, debug, and drive product excellence. Lead with depth: Mentor a high-caliber team of full stack engineers. Speed to market: Rapidly ship and iterate on MVPs to maximize learning and feedback. Own the full stack: From backend data pipelines to intuitive UIsfrom Airflow to React from BigQuery to embeddings. Scale what works: Ensure scalability, security, and performance in multi-tenant, cloud-native environments (GCP). Collaborate deeply: Work closely with product, growth, and leadership to align tech with business priorities. What You Bring 8+ years of experience building and scaling full-stack, data-driven products Proficiency in backend (Node.js, Python) and frontend (React), with solid GCP experience Strong grasp of data pipelines, analytics, and real-time data processing Familiarity with Gen-AI frameworks (LangChain, LlamaIndex, OpenAI APIs, vector databases) Proven architectural leadership and technical ownership Product mindset with a bias for execution and iteration Our Tech Stack Cloud: Google Cloud Platform Backend: Node.js, Python, Airflow Data: BigQuery, Cloud SQL AI/ML: TensorFlow, OpenAI APIs, custom agents Frontend: React.js Interested professional can share Resume at harshita.g@recex.co Thanks & Regards Harshita Recex

Job Title: Data Modeler Key Responsibilities As a Data Modeler, you will: Data Model Design: Perform hands-on data modeling for both OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) systems, covering Conceptual, Logical, and Physical data modeling. Database Performance Optimization: Apply a strong understanding of indexing, partitioning, and data sharding, with practical experience, to optimize database performance, especially for near-real-time reporting and application interaction. Tool Utilization: Work with at least one data modeling tool, preferably DBSchema or Erwin. GCP Database Understanding: Leverage a good understanding of GCP databases like AlloyDB, CloudSQL, and BigQuery. Collaboration: (Implied) Collaborate with teams to understand requirements and translate them into data models. Mandatory Skills & Experience Technical Proficiency: Data Modeling: Hands-on experience in data modeling for OLTP and OLAP systems . Modeling Concepts: In-depth knowledge of Conceptual, Logical, and Physical data modeling . Database Performance: Strong understanding of indexing, partitioning, data sharding , with practical experience. Performance Variables: Strong understanding of variables impacting database performance for near-real-time reporting and application interaction. Modeling Tools: Working experience on at least one data modeling tool, preferably DBSchema or Erwin . GCP Databases: Good understanding of GCP databases like AlloyDB, CloudSQL, and BigQuery . Experience & Qualifications: Demonstrated experience in applying database optimization techniques (indexing, partitioning, sharding). Essential Professional Skills Domain Knowledge (Plus): Functional knowledge of the mutual fund industry will be a plus.

We are currently seeking a Google Kubernetes Engine Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Title / Role: GCP & GKE Staff Engineer NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Engineering Lead Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Description: Primary Skill: Cloud-Infrastructure-Google Cloud Platform Minimum work experience: 8+ yrs Total Experience: 8+ Years Must have GCP Solution Architect Certification & GKE Mandatory Skills: Technical Qualification/ Knowledge: Expertise in assessment, designing and implementing GCP solutions including aspects like compute, network, storage, identity, security , DR/business continuity strategy, migration , templates , cost optimization, PowerShell ,Terraforms, Ansible etc.. Must have GCP Solution Architect Certification Should have prior experience in executing large complex cloud transformation programs including discovery, assessment , business case creation , design , build , migration planning and migration execution Should have prior experience in using industry leading or native discovery, assessment and migration tools Good knowledge on the cloud technology, different patterns, deployment methods, compatibility of the applications Good knowledge on the GCP technologies and associated components and variations Anthos Application Platform Compute Engine , Compute Engine Managed Instance Groups , Kubernetes Cloud Storage , Cloud Storage for Firebase , Persistant Disk , Local SSD , Filestore , Transfer Service Virtual Private Network (VPC), Cloud DNS , Cloud Interconnect , Cloud VPN Gateway , Network Load Balancing , Global load balancing , Firewall rules , Cloud Armor Cloud IAM , Resource Manager , Multi-factor Authentication , Cloud KMS Cloud Billing , Cloud Console , Stackdriver Cloud SQL, Cloud Spanner SQL, Cloud Bigtable Cloud Run Container services, Kubernetes Engine (GKE) , Anthos Service Mesh , Cloud Functions , PowerShell on GCP Solid understanding and experience in cloud computing based services architecture, technical design and implementations including IaaS, PaaS, and SaaS. Design of clients Cloud environments with a focus on mainly on GCP and demonstrate Technical Cloud Architectural knowledge. Playing a vital role in the design of production, staging, QA and development Cloud Infrastructures running in 24x7 environments. Delivery of customer Cloud Strategies, aligned with customers business objectives and with a focus on Cloud Migrations and DR strategies Nurture Cloud computing expertise internally and externally to drive Cloud Adoption Should have a deep understanding of IaaS and PaaS services offered on cloud platforms and understand how to use them together to build complex solutions. Ensure that all cloud solutions follow security and compliance controls, including data sovereignty. Deliver cloud platform architecture documents detailing the vision for how GCP infrastructure and platform services support the overall application architecture, interaction with application, database and testing teams for providing a holistic view to the customer. Collaborate with application architects and DevOps to modernize infrastructure as a service (IaaS) applications to Platform as a Service (PaaS) Create solutions that support a DevOps approach for delivery and operations of services Interact with and advise business representatives of the application regarding functional and non-functional requirements Create proof-of-concepts to demonstrate viability of solutions under consideration Develop enterprise level conceptual solutions and sponsor consensus/approval for global applications. Have a working knowledge of other architecture disciplines including application, database, infrastructure, and enterprise architecture. Identify and implement best practices, tools and standards Provide consultative support to the DevOps team for production incidents Drive and support system reliability, availability, scale, and performance activities Evangelizes cloud automation and be a thought leader and expert defining standards for building and maintaining cloud platforms. Knowledgeable about Configuration management such as Chef/Puppet/Ansible. Automation skills using CLI scripting in any language (bash, perl, python, ruby, etc) Ability to develop a robust design to meet customer business requirement with scalability, availability, performance and cost effectiveness using GCP offerings Ability to identify and gather requirements to define an architectural solution which can be successfully built and operate on GCP Ability to conclude high level and low level design for the GCP platform which may also include data center design as necessary Capabilities to provide GCP operations and deployment guidance and best practices throughout the lifecycle of a project Understanding the significance of the different metrics for monitoring, their threshold values and should be able to take necessary corrective measures based on the thresholds Knowledge on automation to reduce the number of incidents or the repetitive incidents are preferred Good knowledge on the cloud center operation, monitoring tools, backup solution GKE Set up monitoring and logging to troubleshoot a cluster, or debug a containerized application. Manage Kubernetes Objects Declarative and imperative paradigms for interacting with the Kubernetes API. Managing Secrets Managing confidential settings data using Secrets. Configure load balancing, port forwarding, or setup firewall or DNS configurations to access applications in a cluster. Configure networking for your cluster. Hands-on experience with terraform. Ability to write reusable terraform modules. Hands-on Python and Unix shell scripting is required. understanding of CI/CD Pipelines in a globally distributed environment using Git, Artifactory, Jenkins, Docker registry. Experience with GCP Services and writing cloud functions. Hands-on experience deploying and managing Kubernetes infrastructure with Terraform Enterprise. Ability to write reusable terraform modules. Certified Kubernetes Administrator (CKA) and/or Certified Kubernetes Application Developer (CKAD) is a plus Experience using Docker within container orchestration platforms such as GKE. Knowledge of setting up splunk Knowledge of Spark in GKE Certification: GCP solution architect & GKE Process/ Quality Knowledge: Must have clear knowledge on ITIL based service delivery ITIL certification is desired Knowledge on quality Knowledge on security processes Soft Skills: Excellent communication skill and capability to work directly with global customers Strong technical leadership skill to drive solutions Focused on quality/cost/time of deliverables Timely and accurate communication Need to demonstrate the ownership for the technical issues and engage the right stakeholders for timely resolution. Flexibility to learn and lead other technology areas like other public cloud technologies, private cloud, automation Good reporting skill Willing to work in different time zones as per project requirement Good attitude to work in team and as individual contributor based on the project and situation Focused, result oriented and self-motivating