47 Cloud Platforms jobs in Hyderabad
Senior AI/ML Engineer - Cloud Platforms
Posted 4 days ago
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Senior Backend Software Engineer - Cloud Platforms
Posted 15 days ago
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Key Responsibilities:
- Design, develop, and maintain scalable and reliable backend services and APIs.
- Architect and implement cloud-native solutions on platforms such as AWS, Azure, or GCP.
- Write clean, efficient, and well-documented code in languages like Java, Python, Go, or Node.js.
- Develop and manage microservices architecture and containerization technologies (Docker, Kubernetes).
- Implement robust testing strategies, including unit, integration, and end-to-end tests.
- Collaborate with frontend developers and other stakeholders to integrate user-facing elements with server-side logic.
- Optimize applications for maximum speed and scalability.
- Ensure the security and integrity of data and applications.
- Participate in code reviews, providing constructive feedback to peers.
- Troubleshoot and debug production issues, ensuring minimal downtime.
- Contribute to architectural discussions and technology roadmap planning.
- Stay abreast of emerging technologies and industry trends in cloud computing and backend development.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of professional experience in backend software development.
- Proven expertise in designing and building microservices and distributed systems.
- In-depth knowledge of at least one major cloud platform (AWS, Azure, or GCP) and its services.
- Strong proficiency in one or more backend programming languages (e.g., Java, Python, Go, Node.js).
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Familiarity with databases (SQL and NoSQL), caching mechanisms, and message queues.
- Understanding of CI/CD pipelines and DevOps principles.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration abilities, comfortable working in a remote team environment.
- Experience with agile development methodologies.
Senior UX Designer, Google Cloud Business Platforms

Posted today
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_corporate_fare_ Google _place_ Hyderabad, Telangana, India; Bengaluru, Karnataka, India
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Hyderabad, Telangana, India; Bengaluru, Karnataka, India** .
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience in product design or UX.
+ Experience designing across multiple platforms, and working with technical/design teams to create user flows, wireframes, and building user interface mockups and prototypes.
+ Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).
**Preferred qualifications:**
+ Master's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience.
+ 8 years of experience in product design or UX.
+ Experience with data visualization.
+ Ability to lead and ideate products and improve features within a user-centered design process.
+ Ability to influence product design strategy along with excellent communication skills
+ Excellent problem-solving skills and knowledge of technical constraints and limitations as they apply to designing for platforms such as desktop and mobile (Android and iOS).
**About the job**
At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Google's Interaction Designers take complex tasks and make them intuitive and easy-to-use for billions of people around the globe. Throughout the design process-from creating user flows and wireframes to building user interface mockups and prototypes-you'll envision how people will experience our products, and bring that vision to life in a way that feels inspired, refined, and even magical.
Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google's businesses.
As an Interaction Designer, you'll rely on user-centered design methods to craft industry-leading user experiences-from concept to execution. Like all of our UX jobs, you'll collaborate with your design partners to leverage and evolve the Google design language to build beautiful, innovative, inspired products that people love to use.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Collaborate with product managers, developers, and cross-functional stakeholders to understand requirements, and provide solutions.
+ Communicate the user experience at various stages of the design process with wireframes, flow diagrams, storyboards, mockups, or high fidelity prototypes.
+ Integrate user feedback and business requirements into ongoing product experience updates.
+ Partner with engineering to guide the implementation process, ensuring execution, adherence to design specifications, and Google's product excellence principles.
+ Help define and drive the product direction, developing a UX direction and challenging the status quo with user-centric perspectives.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Google cloud
Posted today
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GCP/Bigdata
Provides technical leadership in Big Data space (Hadoop Stack like Spark, M/R, HDFS, Hive, HBase etc) and contributes to open source Big Data technologies.
Must have : Operating knowledge of cloud computing platforms (GCP, especially Big Query, Dataflow, Dataproc, Storage, VMs, Networking, Pub Sub, Cloud Functions, Composer servics)
Should be aware with columnar database e.g parquet, ORC etc
Visualize and evangelize next generation infrastructure in Cloud platform/Big Data space (Batch, Near Real-time, Real-time technologies).
Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms
Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems
Expert-level proficiency in at-least 4-5 GCP services
Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities
Strong understanding and experience in distributed computing frameworks, particularly
Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common task
Google cloud
Posted today
Job Viewed
Job Description
GCP/Bigdata
Provides technical leadership in Big Data space (Hadoop Stack like Spark, M/R, HDFS, Hive, HBase etc) and contributes to open source Big Data technologies.
Must have : Operating knowledge of cloud computing platforms (GCP, especially Big Query, Dataflow, Dataproc, Storage, VMs, Networking, Pub Sub, Cloud Functions, Composer servics)
Should be aware with columnar database e.g parquet, ORC etc
Visualize and evangelize next generation infrastructure in Cloud platform/Big Data space (Batch, Near Real-time, Real-time technologies).
Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms
Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems
Expert-level proficiency in at-least 4-5 GCP services
Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities
Strong understanding and experience in distributed computing frameworks, particularly
Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common task
GOOGLE CLOUD ARCHITECT
Posted 1 day ago
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Job Description: GCP Principal Consultant /ARCHITECT
Location: Hyderabad (Work from Office)
Experience: 15+ Years
Employment Type: Full-time
About the Role
We are looking for a highly experienced GCP Principal Consultant ARCHITECT to lead enterprise-grade cloud transformation initiatives. This role demands deep hands-on expertise in GCP architecture, cloud security, DevSecOps, and modern infrastructure practices. The ideal candidate will be a certified GCP expert with extensive leadership experience in driving digital transformation at scale.
Key Responsibilities
- Lead end-to-end architecture, planning, and execution of cloud transformation programs on Google Cloud Platform (GCP).
- Review and approve architectural diagrams, cloud adoption plans, security frameworks, and implementation timelines.
- Provide technical direction on GCP core services including VPC, IAM, Cloud Security, BigQuery, Vertex AI, Cloud Run, App Engine, and Kubernetes.
- Drive Infrastructure as Code (IaC) best practices using Terraform, Ansible, and Packer.
- Collaborate with customer stakeholders, cloud engineers, and project managers to align cloud strategies with business goals.
- Guide secure cloud foundations, cloud-native deployments, and workload migrations (from on-prem or multi-cloud).
- Enable DevOps and CI/CD pipelines with tools like Jenkins, GitLab, Cloud Build.
- Mentor cloud engineers and contribute to internal knowledge-sharing and technical workshops.
Requirements
- 20+ years in IT with strong leadership in cloud consulting, especially GCP.
- Google Cloud Certified Professional Cloud Architect (and other GCP certifications preferred).
- Proficiency in Terraform, Shell scripting, Python, Jenkins, and DevSecOps principles.
- Expertise in cloud networking (VPCs, VPNs, Interconnects), security (IAM, WAFs, IDS/IPS), and monitoring.
- Experience with enterprise clients across domains such as BFSI, Healthcare, Telecom, and Retail.
- Strong communication skills and the ability to work with global stakeholders.
- Preferred experience with AWS, Azure, or multi-cloud environments.
- Experience with AI/ML platforms (e.g., Vertex AI, BigQuery ML) is a plus.
Nice to Have
- Experience in setting up Cloud Centers of Excellence (CCoE).
- Knowledge of ITIL or project management frameworks.
- Exposure to client onboarding, pre-sales, and stakeholder demos.
Digital : Google Cloud
Posted 1 day ago
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Experience: 5-10years
Location: Hyderabad
Google Cloud + Ingestion:
Experience on BigQuery, Cloud Storage or equivalent cloud platforms
Knowledge of BigQuery ingress and egress patterns
Experience in writing Airflow DAGs
Knowledge of pubsub,dataflow or any declarative data pipeline tools using batch and streaming ingestion
Other GCP Services: Vertex AI, Model Registry, Secret Manager, KMS, Composer, KubeFlow,
Container Registry, Artefact Registry, Cloud Build, Cloud Run, OAuth2.0, Scheduler, GKE, Model Registry, MIG, Cloud Function, Pub/Sub
Extensive experience in Google Cloud Platform (GCP) and related services (e.g. IAM, BigQuery, cloud storage, functions, compute).
Creating data models and standard patterns for big data (ingestion, storage, analytics, etc.)
Data Warehousing (BigQuery)
Strong SQL and data analysis skills
Experience on BigQuery, using partitions, clustering, arrays (atleast one level) and struct
Understanding of Bigquery quotas, service accounts and query types/patterns
(append, replace, partition types,unnest, aggregate to create arrays, Analytic functions) •Ability to write and optimise queries on BigQuery using best practises
Experience in design and implementation of ELT or dataflow pipelines (using Google Dataflow or similar tool)
Understanding of nested data sources (json)
Exposure and understanding of bigdata processing
Data Modelling experience to define target data warehouse model from source till business/reporting layer
Proficient ETL/ELT experience in workflows, data modelling and data pipelines
Programming
Strong python programming experience in using Google Cloud python client libraries
Unix Shell scripting experience to automate operational activities
Visualisation
• Analytic visualisations through datastudio (or equivalent), Time series, Box Plot, Drill down. Experience in real-time analytics
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GOOGLE CLOUD ARCHITECT
Posted today
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Location: Hyderabad (Work from Office)
Experience: 15+ Years
Employment Type: Full-time
About the Role
We are looking for a highly experienced GCP Principal Consultant ARCHITECT to lead enterprise-grade cloud transformation initiatives. This role demands deep hands-on expertise in GCP architecture, cloud security, DevSecOps, and modern infrastructure practices. The ideal candidate will be a certified GCP expert with extensive leadership experience in driving digital transformation at scale.
Key Responsibilities
- Lead end-to-end architecture, planning, and execution of cloud transformation programs on Google Cloud Platform (GCP).
- Review and approve architectural diagrams, cloud adoption plans, security frameworks, and implementation timelines.
- Provide technical direction on GCP core services including VPC, IAM, Cloud Security, BigQuery, Vertex AI, Cloud Run, App Engine, and Kubernetes.
- Drive Infrastructure as Code (IaC) best practices using Terraform, Ansible, and Packer.
- Collaborate with customer stakeholders, cloud engineers, and project managers to align cloud strategies with business goals.
- Guide secure cloud foundations, cloud-native deployments, and workload migrations (from on-prem or multi-cloud).
- Enable DevOps and CI/CD pipelines with tools like Jenkins, GitLab, Cloud Build.
- Mentor cloud engineers and contribute to internal knowledge-sharing and technical workshops.
Requirements
- 20+ years in IT with strong leadership in cloud consulting, especially GCP.
- Google Cloud Certified Professional Cloud Architect (and other GCP certifications preferred).
- Proficiency in Terraform, Shell scripting, Python, Jenkins, and DevSecOps principles.
- Expertise in cloud networking (VPCs, VPNs, Interconnects), security (IAM, WAFs, IDS/IPS), and monitoring.
- Experience with enterprise clients across domains such as BFSI, Healthcare, Telecom, and Retail.
- Strong communication skills and the ability to work with global stakeholders.
- Preferred experience with AWS, Azure, or multi-cloud environments.
- Experience with AI/ML platforms (e.g., Vertex AI, BigQuery ML) is a plus.
Nice to Have
- Experience in setting up Cloud Centers of Excellence (CCoE).
- Knowledge of ITIL or project management frameworks.
- Exposure to client onboarding, pre-sales, and stakeholder demos.
Digital : Google Cloud
Posted today
Job Viewed
Job Description
Location: Hyderabad
Google Cloud + Ingestion:
Experience on BigQuery, Cloud Storage or equivalent cloud platforms
Knowledge of BigQuery ingress and egress patterns
Experience in writing Airflow DAGs
Knowledge of pubsub,dataflow or any declarative data pipeline tools using batch and streaming ingestion
Other GCP Services: Vertex AI, Model Registry, Secret Manager, KMS, Composer, KubeFlow,
Container Registry, Artefact Registry, Cloud Build, Cloud Run, OAuth2.0, Scheduler, GKE, Model Registry, MIG, Cloud Function, Pub/Sub
Extensive experience in Google Cloud Platform (GCP) and related services (e.g. IAM, BigQuery, cloud storage, functions, compute).
Creating data models and standard patterns for big data (ingestion, storage, analytics, etc.)
Data Warehousing (BigQuery)
Strong SQL and data analysis skills
Experience on BigQuery, using partitions, clustering, arrays (atleast one level) and struct
Understanding of Bigquery quotas, service accounts and query types/patterns
(append, replace, partition types,unnest, aggregate to create arrays, Analytic functions) •Ability to write and optimise queries on BigQuery using best practises
Experience in design and implementation of ELT or dataflow pipelines (using Google Dataflow or similar tool)
Understanding of nested data sources (json)
Exposure and understanding of bigdata processing
Data Modelling experience to define target data warehouse model from source till business/reporting layer
Proficient ETL/ELT experience in workflows, data modelling and data pipelines
Programming
Strong python programming experience in using Google Cloud python client libraries
Unix Shell scripting experience to automate operational activities
Visualisation
• Analytic visualisations through datastudio (or equivalent), Time series, Box Plot, Drill down. Experience in real-time analytics
Google Cloud Engineer
Posted today
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KV Tech Solutions Pvt Ltd
Mission: Transforming businesses with Google Cloud excellence in VM migrations, Generative AI, data transformation, and predictive analytics. For additional details:
Role: Google Cloud Engineer
We are seeking a highly motivated Entry-Level Google Cloud Specialist (0-1 years of experience) to join our team remotely. This is an excellent opportunity for a recent graduate or early-career professional to launch a career in advanced cloud solutions.
Salary: up to 3 LPA
Your Responsibilities
You will support and assist senior engineers in client projects across the Google Cloud ecosystem, including:
- Assisting in the deployment of applications using Cloud Run or App Engine.
- Supporting the development of data pipelines, processing, and loading data into BigQuery.
- Learning to deploy and monitor ML models using Vertex AI.
- Contributing to projects in Generative AI, data transformation, and cloud architecture.
- Staying current with new Google Cloud features and best practices.
Required Skills & Qualifications (0-1 Years)
Experience: 0 to 1 year of professional experience. Open to recent graduates with strong academic or personal project experience in GCP.
Foundational Knowledge is Mandatory:
- A solid understanding of core IT and Cloud Computing principles.
- Conceptual familiarity with serverless computing (Cloud Run/App Engine) and data warehousing (BigQuery).
- Understanding of the GCP service portfolio.
- Excellent problem-solving and proactive learning skills.
Certification (Highly Valued):
- Google Associate Cloud Engineer certification (or active preparation for it).
Interview Requirements (Practical Demonstration)
The interview process includes a hands-on assessment to verify foundational skills:
Interview Demo: Be prepared to showcase foundational knowledge of:
- Google Cloud Foundation Fabric (Core GCP networking, security, and hierarchy principles).
- Google Agentspace (Basic understanding or demo of Google's generative AI tools for a business application).
Added Advantage
- Familiarity with Infrastructure as Code (Terraform).
- Experience with Python or other programming languages.
- Exposure to Docker/Containerization.
To Apply
Submit your resume and cover letter detailing your relevant academic projects, internships, and readiness to complete the required interview demo.