159 Google Cloud jobs in Bengaluru

About Lumen Technologies
Lumen Technologies is a global technology company that delivers innovative communication and network solutions. Our mission is to empower businesses and individuals to connect, grow, and thrive in the digital age. With a focus on customer experience and operational excellence, we strive to provide cutting-edge solutions that meet the evolving needs of our customers.

About The Role- Google Cloud Engineer
The Google Cloud Engineer will be a key member of the Cloud Center of Excellence (CCoE).  They will provide best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. Through the cloud engineer's guidance, we will ensure our teams have excellent experience in building, modernizing, migrating, and maintaining applications in our hybrid multi cloud environment.  The cloud engineer also serves as a guide and subject matter expert elevating the overall cloud capabilities within Lumen.

Job Description

• Refine, evangelize, and deliver on Lumen's multi-cloud operating model vision and strategy
• Partner in the delivery of cloud-based technical architectures, migration approaches, and application optimizations that enable business objectives
• Collaborate with Product Owners, Scrum Masters, Developers, Product Architects to implement technical solutions
• Evolve and drive our automation capabilities by enabling a DevOps and SRE culture
• Support the adoption of Cloud practices and drive the institutionalization of the practices
• Identify risk and mitigation plans associated with security, legal, data, compliance, and regulatory requirements
• Contribute to the development of the best internal practices as well as new innovative capabilities
• Hands on-Technical lead to guide, mentor, and coach

Qualifications Required:

• 4+ years' experience in combined roles of cloud engineer, infrastructure engineer, DevOps engineering, SRE or application development
• 2+ years' experience designing, building, and deploying scalable cloud-based solutions in GCP
• Expertise with automating infrastructure provisioning and/or continuous integration/delivery
• Experience with containerization and container orchestration technologies
• Experience with cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability)
• Experience in supporting and troubleshooting large-scale applications deployed in a hybrid multi cloud
• Familiarity with standard IT security practices such as identity and access management, data protection, encryption, certificate, and key management
• Experience one or more languages, such as Java, Python, Go, JavaScript, C++, or similar
• Experience with "on-premises to cloud" migrations or IT transformations
• Experience leading by example in a large, highly complex and ever-changing organization; preferably in a hybrid cloud environment.
• Demonstrate a sense of urgency, accountability and holding your partners to the same standard

*Education: *
Bachelor's degree in computer science, Mathematics, related technical field, or equivalent work experience

"We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any form of payment from candidates at any stage of the recruitment process. If anyone claims to offer employment opportunities in our company in exchange for money or any other benefit, please treat it as fraudulent and report it immediately."

Job description:

͏ Job Description

Manadatory Skill: Google Cloud Engineer (Strong on Google App Engine)

Location: Bangalore- Kodath

Note: Requirement is for Immediate to 1 Month Joiners Only

• 3+ years' exp collaboration applications including, but not limited to Microsoft Office 365, Google Workspace, Dropbox, Box, Lucidchart, Asana, Tableau, Slack, SurveyMonkey, and Quip

• Google Workspace - primarily Google Drive & Editors (Docs, Sheets, Slides, Sites, Forms, Drawing) and AppScripts, 3rd party add-ons and custom integrations

• Microsoft Office 365 – All O365 apps, including PowerAutomate and all 3rd party integrations and custom developments

• Deep technical experience with above applications (APIs, integrations) for daily maintenance tasks, system configuration, and custom solution development

• Ability to offer deep application features consulting, including the execution of exception evaluations and new SaaS application request intakes

͏

• Office 365, Google Workspace, Dropbox, Box, Lucidchart, Asana, Tableau, Slack, SurveyMonkey, and Quip

• Google Workspace - primarily Google Drive & Editors (Docs, Sheets, Slides, Sites, Forms, Drawing) and AppScripts, 3rd party add-ons and custom integrations

• Microsoft Office 365 – All O365 apps, including PowerAutomate and all 3rd party integrations and custom developments

• Ability to offer deep application features consulting, including the execution of exception evaluations and new SaaS application request intakes

• Microsoft 365 Certified: Enterprise Administrator Expert

• Infrastructure (email back-end support - Exchange)

• Google Professional Workspace Administrator certification

• Experience with custom solution development for Google AppSheet, including deep technical expertise with other Google Apps (GCP, APIs, integrations)

͏ ͏

Deliver

No.
Performance Parameter
Measure
1.Design and develop solutionsAdherence to project plan/ schedule, 100% error free on boarding & implementation, throughput %2.Quality & CSATOn-Time Delivery, minimum corrections, first time right, no major defects post production, 100% compliance of bi-directional traceability matrix, completion of assigned certifications for skill upgradation3.MIS & Reporting100% on time MIS & report generation

Experience: 5-8 Years

.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Position Description

Company Profile:

At CGI, we're a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we're a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at

This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.

Job Title: Google Cloud Engineer (DevOps + GKE )- SSE

Position: Senior Systems Engineer

Experience:5+Years

Category: GCP+GKE

Main location: Bangalore/Chennai/Hyderabad/Pune/Mumbai

Position ID: J

Employment Type: Full Time

Job Description :

We are seeking a skilled and proactive Google Cloud Engineer with strong experience in DevOps with hands-on expertise in Google Kubernetes Engine (GKE) to design, implement, and manage cloud-native infrastructure . You will play a key role in automating deployments, maintaining scalable systems, and ensuring the availability and performance of our cloud services on Google Cloud Platform (GCP).

Key Responsibilities And Required Skills

• 5+ years of experience in DevOps / Cloud Engineering roles.
• Design and manage cloud infrastructure using Google Cloud services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud SQL, GKE, and more.
• Proficient in writing Infrastructure-as-Code using Terraform, Deployment Manager, or similar tools.
• Automate CI/CD pipelines using tools like Cloud Build, Jenkins, GitHub Actions, etc.
• Manage and optimize Kubernetes clusters for high availability, performance, and security.
• Collaborate with developers to containerize applications and streamline their deployment.
• Monitor cloud environments and troubleshoot performance, availability, or security issues.
• Implement best practices for cloud governance, security, cost management, and compliance.
• Participate in cloud migration and modernization projects.
• Ensure system reliability and high availability through redundancy, backup strategies, and proactive monitoring.
• Contribute to cost optimization and cloud governance practices.
• Strong hands-on experience with core GCP services including Compute, Networking, IAM, Storage, and optional Kubernetes (GKE).
• Proven expertise in Kubernetes (GKE)—managing clusters, deployments, services, autoscaling, etc.
• Experience in Configuring Kubernetes resources (Deployments, Services, Ingress, Helm charts, etc.) to support application lifecycles.
• Solid scripting knowledge (e.g., Python, Bash, Go).
• Familiarity with GitOps and deployment tools like ArgoCD, Helm.
• Experience with CI/CD tools and setting up automated deployment pipelines.
• Should have Google Cloud certifications (e.g., Professional Cloud DevOps Engineer, Cloud Architect, or Cloud Engineer).

Behavioural Competencies :

• Proven experience of delivering process efficiencies and improvements
• Clear and fluent English (both verbal and written)
• Ability to build and maintain efficient working relationships with remote teams
• Demonstrate ability to take ownership of and accountability for relevant products and services
• Ability to plan, prioritise and complete your own work, whilst remaining a team player
• Willingness to engage with and work in other technologies

Note: This job description is a general outline of the responsibilities and qualifications typically associated with the Virtualization Specialist role. Actual duties and qualifications may vary based on the specific needs of the organization.

CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

Your future duties and responsibilities

Required Qualifications To Be Successful In This Role
Your future duties and responsibilities

Required Qualifications To Be Successful In This Role
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.

Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.

KV Tech Solutions Pvt Ltd embodies the spirit of innovation and adaptability in today's rapidly evolving digital landscape. Our mission is to transform businesses with Google Cloud excellence. We are a team of experts dedicated to providing cutting-edge solutions in areas like VM migrations, Generative AI, data transformation, and predictive analytics. To learn more about our work, visit our website at

The Role: Google Cloud Specialist

We are seeking a highly motivated and experienced Google Cloud Specialist to join our team in a full-time, remote capacity. This role is ideal for a candidate who is ready to leverage their hands-on experience and Google Professional Certification to design, implement, and deploy cutting-edge cloud and data solutions for our clients.

Salary Range: 3.5 LPA to 4 LPA

Your Responsibilities

As a Google Cloud Specialist, you will be a key contributor to our client projects, applying your expertise across the Google Cloud ecosystem.

You will:

• Design and deploy robust full-stack applications using serverless technologies like Google Cloud Run or App Engine.
• Develop and implement scalable data pipelines for batch and streaming data, including deploying jobs to Dataproc to process and load data into BigQuery.
• Deploy, manage, and monitor Machine Learning (ML) models for online and batch predictions using Vertex AI Endpoints and Model Registry.
• Work on projects involving advanced areas like VM migrations, Generative AI, data transformation, and predictive analytics.
• Contribute to meaningful solutions for clients in industries such as Healthcare, Government, Retail, and Telecom.
• Design and deploy secure, well-architected cloud environments and application development/secure landing zones.
• Stay current with new Google Cloud features and services to recommend and implement optimal client solutions.

Required Skills & Qualifications

Please note: Only candidates meeting the following mandatory requirements will be considered for this role.

• Experience: 1 to 3 years of hands-on, verifiable experience working with Google Cloud technologies.
• Certification: Must possess a current, valid Google Professional Certification (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, etc.).

Candidates must possess a strong subset of the following technical skills:

• Demonstrable experience in deploying applications to serverless platforms like Cloud Run or App Engine.
• Practical experience in building and executing data processing jobs/pipelines using technologies like Dataproc, and data warehousing on BigQuery.
• Proficiency in the Vertex AI platform for model deployment, including creating a Model Registry entry and deploying to a managed Endpoint for online serving.
• Deep understanding of IT concepts, cloud computing principles, and the Google Cloud Platform (GCP) service portfolio.
• Excellent problem-solving skills, a proactive attitude, and the ability to work independently in a remote setting.

Interview & Application Requirements

To ensure candidates have practical, up-to-date skills, the interview process will include a hands-on demonstration:

• Pre-Interview Task: Interested candidates must be able to utilize their free Google Cloud trial account.
• Interview Demonstration: Be prepared to demo foundational knowledge and practical application of the following concepts:
• Google Cloud Foundation Fabric (Demonstrate your ability to establish core GCP networking, security, and resource hierarchy principles).
• Google Agentspace (Showcase your understanding or a basic demo of using Google's generative AI tools or services for a practical business application).

Added Advantage

• Familiarity with Infrastructure as Code (e.g., Terraform).
• Experience with Python (especially the Vertex AI SDK), Go, or other relevant programming languages for application, data pipeline, and ML development.
• Exposure to containerization and orchestration (e.g., Docker, Kubernetes, Artifact Registry).

To Apply

Please submit your resume and a cover letter detailing your 1-3 years of Google Cloud experience, the Google Professional Certification you hold (including the date of achievement), and your readiness to complete the required interview demo.

KV Tech Solutions Pvt Ltd embodies the spirit of innovation and adaptability in today's rapidly evolving digital landscape. Our mission is to transform businesses with Google Cloud excellence. We are a team of experts dedicated to providing cutting-edge solutions in areas like VM migrations, Generative AI, data transformation, and predictive analytics. To learn more about our work, visit our website at

The Role: Google Cloud Specialist

We are seeking a highly motivated and experienced Google Cloud Specialist to join our team in a full-time, remote capacity. This role is ideal for a candidate who is ready to leverage their hands-on experience and Google Professional Certification to design, implement, and deploy cutting-edge cloud and data solutions for our clients.

Salary Range: 3.5 LPA to 4 LPA

Your Responsibilities

As a Google Cloud Specialist, you will be a key contributor to our client projects, applying your expertise across the Google Cloud ecosystem.

You will:

• Design and deploy robust full-stack applications using serverless technologies like Google Cloud Run or App Engine.
• Develop and implement scalable data pipelines for batch and streaming data, including deploying jobs to Dataproc to process and load data into BigQuery.
• Deploy, manage, and monitor Machine Learning (ML) models for online and batch predictions using Vertex AI Endpoints and Model Registry.
• Work on projects involving advanced areas like VM migrations, Generative AI, data transformation, and predictive analytics.
• Contribute to meaningful solutions for clients in industries such as Healthcare, Government, Retail, and Telecom.
• Design and deploy secure, well-architected cloud environments and application development/secure landing zones.
• Stay current with new Google Cloud features and services to recommend and implement optimal client solutions.

Required Skills & Qualifications

Please note: Only candidates meeting the following mandatory requirements will be considered for this role.

• Experience: 1 to 3 years of hands-on, verifiable experience working with Google Cloud technologies.
• Certification: Must possess a current, valid Google Professional Certification (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, etc.).

Candidates must possess a strong subset of the following technical skills:

• Demonstrable experience in deploying applications to serverless platforms like Cloud Run or App Engine.
• Practical experience in building and executing data processing jobs/pipelines using technologies like Dataproc, and data warehousing on BigQuery.
• Proficiency in the Vertex AI platform for model deployment, including creating a Model Registry entry and deploying to a managed Endpoint for online serving.
• Deep understanding of IT concepts, cloud computing principles, and the Google Cloud Platform (GCP) service portfolio.
• Excellent problem-solving skills, a proactive attitude, and the ability to work independently in a remote setting.

Interview & Application Requirements

To ensure candidates have practical, up-to-date skills, the interview process will include a hands-on demonstration:

• Pre-Interview Task: Interested candidates must be able to utilize their free Google Cloud trial account.
• Interview Demonstration: Be prepared to demo foundational knowledge and practical application of the following concepts:
• Google Cloud Foundation Fabric (Demonstrate your ability to establish core GCP networking, security, and resource hierarchy principles).
• Google Agentspace (Showcase your understanding or a basic demo of using Google's generative AI tools or services for a practical business application).

Added Advantage

• Familiarity with Infrastructure as Code (e.g., Terraform).
• Experience with Python (especially the Vertex AI SDK), Go, or other relevant programming languages for application, data pipeline, and ML development.
• Exposure to containerization and orchestration (e.g., Docker, Kubernetes, Artifact Registry).

To Apply

Please submit your resume and a cover letter detailing your 1-3 years of Google Cloud experience, the Google Professional Certification you hold (including the date of achievement), and your readiness to complete the required interview demo.

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.

KV Tech Solutions Pvt Ltd embodies the spirit of innovation and adaptability in today's rapidly evolving digital landscape. Our mission is to transform businesses with Google Cloud excellence. We are a team of experts dedicated to providing cutting-edge solutions in areas like VM migrations, Generative AI, data transformation, and predictive analytics. To learn more about our work, visit our website at

The Role: Google Cloud Specialist

We are seeking a highly motivated and experienced Google Cloud Specialist to join our team in a full-time, remote capacity. This role is ideal for a candidate who is ready to leverage their hands-on experience and Google Professional Certification to design, implement, and deploy cutting-edge cloud and data solutions for our clients.

Salary Range: 3.5 LPA to 4 LPA

Your Responsibilities

As a Google Cloud Specialist, you will be a key contributor to our client projects, applying your expertise across the Google Cloud ecosystem.

You will:

• Design and deploy robust full-stack applications using serverless technologies like Google Cloud Run or App Engine.
• Develop and implement scalable data pipelines for batch and streaming data, including deploying jobs to Dataproc to process and load data into BigQuery.
• Deploy, manage, and monitor Machine Learning (ML) models for online and batch predictions using Vertex AI Endpoints and Model Registry.
• Work on projects involving advanced areas like VM migrations, Generative AI, data transformation, and predictive analytics.
• Contribute to meaningful solutions for clients in industries such as Healthcare, Government, Retail, and Telecom.
• Design and deploy secure, well-architected cloud environments and application development/secure landing zones.
• Stay current with new Google Cloud features and services to recommend and implement optimal client solutions.

Required Skills & Qualifications

Please note: Only candidates meeting the following mandatory requirements will be considered for this role.

• Experience: 1 to 3 years of hands-on, verifiable experience working with Google Cloud technologies.
• Certification: Must possess a current, valid Google Professional Certification (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, etc.).

Candidates must possess a strong subset of the following technical skills:

• Demonstrable experience in deploying applications to serverless platforms like Cloud Run or App Engine.
• Practical experience in building and executing data processing jobs/pipelines using technologies like Dataproc, and data warehousing on BigQuery.
• Proficiency in the Vertex AI platform for model deployment, including creating a Model Registry entry and deploying to a managed Endpoint for online serving.
• Deep understanding of IT concepts, cloud computing principles, and the Google Cloud Platform (GCP) service portfolio.
• Excellent problem-solving skills, a proactive attitude, and the ability to work independently in a remote setting.

Interview & Application Requirements

To ensure candidates have practical, up-to-date skills, the interview process will include a hands-on demonstration:

• Pre-Interview Task: Interested candidates must be able to utilize their free Google Cloud trial account.
• Interview Demonstration: Be prepared to demo foundational knowledge and practical application of the following concepts:
• Google Cloud Foundation Fabric (Demonstrate your ability to establish core GCP networking, security, and resource hierarchy principles).
• Google Agentspace (Showcase your understanding or a basic demo of using Google's generative AI tools or services for a practical business application).

Added Advantage

• Familiarity with Infrastructure as Code (e.g., Terraform).
• Experience with Python (especially the Vertex AI SDK), Go, or other relevant programming languages for application, data pipeline, and ML development.
• Exposure to containerization and orchestration (e.g., Docker, Kubernetes, Artifact Registry).

To Apply

Please submit your resume and a cover letter detailing your 1-3 years of Google Cloud experience, the Google Professional Certification you hold (including the date of achievement), and your readiness to complete the required interview demo.

It's fun to work in a company where people truly BELIEVE in what they are doing

We're committed to bringing passion and customer focus to the business.
Job Description
About Fractal
What makes Fractal a GREAT fit for you? When you join Fractal, you'll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. We're a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision.

Our people enjoy a collaborative work environment, exceptional training and career development — as well as unlimited growth opportunities. We have a Glassdoor rating of 4 / 5 and achieve customer NPS of 9/ 10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you. Fractal ANZ needs a Business Development Manager to focus on growing our Clients, rather than developing business within well-established accounts. If you have a sharply honed consulting style, this is your chance to be an integral part of our own growth and revenue achievements. You will also target top executives of previously untapped potential Must Win Clients (MWC) companies, drive the pivotal moment where leads become sales, and reap the rewards of negotiating contracts through to a successful close.

How You Will Make An Impact/ Job Responsibilities

• Design, implement, and maintain highly available, scalable, and reliable infrastructure
• Working closely with client and delivering outcomes per the SoW and SLA
• Architect, design, develop, deploy and document new systems or maintain existing systems on Cloud Platforms based on specifications.
• Collaborate with, provide continuous guidance to, and influence design decisions of various Agile development teams for various existing and new products and solutions w.r.t. Cloud enablement, migration and infrastructure needs, to adopt and promote Cloud best practices, and economies of scale.
• Engage customers understand their use cases and operational needs, as well as engage with Cloud Platform vendors to understand their technology roadmaps and evolution and translate to comprehensive technology guidance for various product teams.
• Design for Cloud security and compliance ensure solutions and operations reliability.
• Drive and conduct audits on current cloud utilization and recommend cloud optimization and security changes.
• Act as a mentor and technical consultant for the various teams.

Responsibilities
Desired/Preferred Skills:

• Platform Management: Oversee the architecture and management of GCP resources, particularly BigQuery, Databricks, and Kubernetes.
• Architecting Solutions: Design scalable and efficient data architectures tailored to specific business needs.
• Optimization of Workloads: Analyze and optimize data processing workloads to improve performance and reduce costs.
• Performance Measurement: Implement monitoring and performance metrics for data pipelines and applications.
• Cost Monitoring: Develop strategies for cost-effective resource usage, including budget tracking and optimization techniques.
• Collaboration: Work closely with data engineers, developers, and stakeholders to ensure seamless integration and functionality.

Required Skills

• GCP Expertise: In-depth knowledge of Google Cloud Platform services, particularly BigQuery, Databricks, and Kubernetes.
• Data Engineering: Experience with data modeling, ETL processes, and data warehousing.
• Performance Tuning: Proven track record in optimizing data processing and query performance in BigQuery.
• Kubernetes Management: Proficient in deploying and managing containerized applications using Kubernetes.
• Cost Management: Familiarity with GCP billing and cost management tools to monitor and optimize cloud expenditure.
• Monitoring Tools: Experience with GCP monitoring and logging tools (e.g., Stackdriver, Cloud Monitoring).

Years Of Experience

• 11 to 16 years experience
• 7+ years of experience in GCP Solution Architect.

Education Qualification

• B.E / B.Tech, BCA, MCA equivalent
• GCP - Professional Cloud Architect

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

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