49 Google Cloud jobs in Chennai
Google Cloud Platform Architect
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It's fun to work in a company where people truly BELIEVE in what they are doing!
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:
Desired/Preferred Skills:
Responsibilities:
Required Skills:
Years of Experience:
Education Qualification:
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Google Cloud Platform Engineers
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deliver demos related to user stories assigned to them and participate fully in Agile practices as determined by the team and leadership.
assigned work during program increment planning and sprint planning and must be prepared to develop infrastructure as code as it pertains to either AWS, Azure, or Google Cloud platform.
be prepared for sharing experience and guidance to a cross-functional team on how to integrate existing business and technology processes into a cloud platform.
part of a team that plans, designs, and implements the configurations needed and the connections needed from our on-prem systems to various cloud platforms.
translate user stories into technical tasks and estimate velocity.
Candidate should have:
Experience with DevOps or automation in a cloud environment
Experience integrating on-prem systems with cloud systems
Experience accomplishing goals through cross-team collaboration
Experience with identity and access management in a complex enterprise environment
Exceptional interpersonal skills with the ability to work in a diverse environment
SAFe or Agile experience or certifications
Bachelor’s degree and 5+ years of relevant experience or a comparable combination of education, training, and experience
Google Cloud Infrastructure Support Engineer
Posted 5 days ago
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Job Description
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
Google Cloud Infrastructure Support Engineer will be responsible for ensuring the reliability, performance, and security of our Google Cloud Platform (GCP) infrastructure. Work closely with cross-functional teams to troubleshoot issues, optimize infrastructure, and implement best practices for cloud architecture. Experience with Terraform for deploying and managing infrastructure templates. Administer BigQuery environments, including managing datasets, access controls, and optimize query performance. Be familiar with Vertex AI for monitoring and managing machine learning model deployments. Knowledge of GCP's Kubernetes Engine and its integration with the cloud ecosystem. Understanding of cloud security best practices and experience with implementing security measures. Knowledge of setting up and managing data clean rooms within BigQuery. Understanding of the Analytics Hub platform and how it integrates with data clean rooms to facilitate sensitive data-sharing use cases. Knowledge of DataPlex and how it integrates with other Google Cloud services such as BigQuery, Dataproc Metastore, and Data Catalog.
**Key Responsibilities:**
+ Provide technical support for our Google Cloud Platform infrastructure, including compute, storage, networking, and security services.
+ Monitor system performance and proactively identify and resolve issues to ensure maximum uptime and reliability.
+ Collaborate with cross-functional teams to design, implement, and optimize cloud infrastructure solutions.
+ Automate repetitive tasks and develop scripts to streamline operations and improve efficiency.
+ Document infrastructure configurations, processes, and procedures.
**Qualifications:**
Required:
+ Strong understanding of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, VPC networking, and IAM.
+ Experience with BigQuery and VertexAI
+ Proficiency in scripting languages such as Python, Bash, or PowerShell.
+ Experience with infrastructure as code tools such as Terraform or Google Deployment Manager.
+ Strong communication and collaboration skills.
+ Bachelor's Degree in Computer Science or related discipline, or the equivalent in education and work experience
Preferred:
+ Google Cloud certification (e.g., Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Cloud DevOps Engineer)
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Google Cloud Infrastructure Support Engineer
Posted 5 days ago
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Job Description
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
Google Cloud Infrastructure Support Engineer will be responsible for ensuring the reliability, performance, and security of our Google Cloud Platform (GCP) infrastructure. Work closely with cross-functional teams to troubleshoot issues, optimize infrastructure, and implement best practices for cloud architecture. Experience with Terraform for deploying and managing infrastructure templates. Administer BigQuery environments, including managing datasets, access controls, and optimize query performance. Be familiar with Vertex AI for monitoring and managing machine learning model deployments. Knowledge of GCP's Kubernetes Engine and its integration with the cloud ecosystem. Understanding of cloud security best practices and experience with implementing security measures. Knowledge of setting up and managing data clean rooms within BigQuery. Understanding of the Analytics Hub platform and how it integrates with data clean rooms to facilitate sensitive data-sharing use cases. Knowledge of DataPlex and how it integrates with other Google Cloud services such as BigQuery, Dataproc Metastore, and Data Catalog.
**Key Responsibilities:**
+ Provide technical support for our Google Cloud Platform infrastructure, including compute, storage, networking, and security services.
+ Monitor system performance and proactively identify and resolve issues to ensure maximum uptime and reliability.
+ Collaborate with cross-functional teams to design, implement, and optimize cloud infrastructure solutions.
+ Automate repetitive tasks and develop scripts to streamline operations and improve efficiency.
+ Document infrastructure configurations, processes, and procedures.
**Qualifications:**
Required:
+ Strong understanding of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, VPC networking, and IAM.
+ Experience with BigQuery and VertexAI
+ Proficiency in scripting languages such as Python, Bash, or PowerShell.
+ Experience with infrastructure as code tools such as Terraform or Google Deployment Manager.
+ Strong communication and collaboration skills.
+ Bachelor's Degree in Computer Science or related discipline, or the equivalent in education and work experience
Preferred:
+ Google Cloud certification (e.g., Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Cloud DevOps Engineer)
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._
Google Cloud architect, Software En...
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Job Description
• 5+ years of Experience working on strategic initiatives within a large, matrixed, and complex organization; previous consulting Experience strongly preferred.
• 5+ years of Experience with AWS and Azure technologies.
• AWS Certified Solutions Architect – Associate and AWS Certified Solutions Architect – Professional required.
• A combination of Microsoft certifications desired – Microsoft Azure Solutions Implementing Microsoft Azure Infrastructure Solutions Architecting Microsoft Azure Solutions Designing and Implementing Cloud Data Platform Solutions
• A combination of Google certifications desired – Google Associate Cloud Engineer; Google Professional Cloud Architect.
• A combination of VMware certifications desired – Data Center Virtualization (Professional); Cloud Management and Automation (Professional); Advanced Cloud Management and Automation (Professional); Design Cloud Management and Automation (Professional).
• Broad and comprehensive knowledge of Cloud providers, Amazon, Azure, Google.
• Proven ability to quickly earn the trust of others and develop relationships across the organization.
Google Cloud Infrastructure Support Engineer
Posted today
Job Viewed
Job Description
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
Google Cloud Infrastructure Support Engineer will be responsible for ensuring the reliability, performance, and security of our Google Cloud Platform (GCP) infrastructure. Work closely with cross-functional teams to troubleshoot issues, optimize infrastructure, and implement best practices for cloud architecture. Experience with Terraform for deploying and managing infrastructure templates. Administer BigQuery environments, including managing datasets, access controls, and optimize query performance. Be familiar with Vertex AI for monitoring and managing machine learning model deployments. Knowledge of GCP’s Kubernetes Engine and its integration with the cloud ecosystem. Understanding of cloud security best practices and experience with implementing security measures. Knowledge of setting up and managing data clean rooms within BigQuery. Understanding of the Analytics Hub platform and how it integrates with data clean rooms to facilitate sensitive data-sharing use cases. Knowledge of DataPlex and how it integrates with other Google Cloud services such as BigQuery, Dataproc Metastore, and Data Catalog.
Key Responsibilities:
- Provide technical support for our Google Cloud Platform infrastructure, including compute, storage, networking, and security services.
- Monitor system performance and proactively identify and resolve issues to ensure maximum uptime and reliability.
- Collaborate with cross-functional teams to design, implement, and optimize cloud infrastructure solutions.
- Automate repetitive tasks and develop scripts to streamline operations and improve efficiency.
- Document infrastructure configurations, processes, and procedures.
Qualifications:
Required:
- Strong understanding of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, VPC networking, and IAM.
- Experience with BigQuery and VertexAI
- Proficiency in scripting languages such as Python, Bash, or PowerShell.
- Experience with infrastructure as code tools such as Terraform or Google Deployment Manager.
- Strong communication and collaboration skills.
- Bachelor's Degree in Computer Science or related discipline, or the equivalent in education and work experience
Preferred:
- Google Cloud certification (e.g., Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Cloud DevOps Engineer)
Employee Type:
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Encora - Senior DevOps Engineer - Google Cloud Platform
Posted today
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Job Description
Job Title :
Senior DevOps Engineer (GCP | DevSecOps | Monitoring)
Employment Type :
Full-time
Experience :
7+ Years
Job Summary
We are seeking a highly experienced and results-driven Senior DevOps Engineer to join our dynamic team. The ideal candidate will bring 7+ years of hands-on experience in cloud infrastructure, monitoring, security, and DevSecOps practices especially within the Google Cloud Platform (GCP) ecosystem. This role demands strong expertise in designing, implementing, and leading complex DevSecOps and monitoring initiatives across cloud-native environments.
Key Responsibilities
- Lead the end-to-end design, implementation, and delivery of scalable and secure DevSecOps solutions.
- Implement and maintain monitoring and observability tools such as New Relic, Datadog, Grafana, and Prometheus.
- Manage and optimize GCP infrastructure for performance, security, and cost efficiency.
- Define and enforce DevSecOps best practices, integrating security at every stage of the development lifecycle.
- Work closely with Data Engineering teams to support data pipelines and infrastructure automation.
- Manage CI/CD pipelines using GitLab and ensure smooth deployment workflows.
- Maintain containerized environments using Docker and Kubernetes.
- Collaborate with cross-functional teams to ensure system reliability, scalability, and security.
Required Skills & Experience
- 7+ years of experience in a DevOps/DevSecOps role with a strong background in GCP.
- Proven experience with monitoring/observability tools: New Relic, Datadog, Grafana, Prometheus.
- Deep understanding of DevSecOps principles, cloud security, and compliance practices.
- Strong hands-on experience with Docker and Kubernetes.
- Proficiency with GitLab for CI/CD automation.
- Familiarity with infrastructure-as-code and configuration management tools.
- Solid scripting and automation skills (e.g., Bash, Python, Terraform, etc.).
- Experience collaborating with Data Engineers and supporting data-driven applications.
Preferred Qualifications
- GCP certifications (e.g., Professional Cloud DevOps Engineer, Cloud Architect).
- Experience with other cloud platforms (e.g., AWS, Azure) is a plus.
- Exposure to data pipeline tools and big data platforms is advantageous.
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GCP/GWS G-Suite Engineer - Google Cloud, Chennai
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GCP- Goggle Cloud Engineer - Chennai
GCP Engineer Job Summary: We are seeking a highly skilled and experienced GCP Engineer with a strong background in deployment and automation. The ideal candidate will be a subject matter expert in Google Cloud Platform, responsible for providing advanced technical support, troubleshooting complex issues, and ensuring the reliability, scalability, and performance of our cloud infrastructure. This role requires a blend of deep technical expertise in GCP services and hands-on experience in automating infrastructure provisioning and application deployments. Key Responsibilities: Advanced Technical Support: Serve as the final escalation point for all GCP-related technical issues. Diagnose and resolve complex problems related to infrastructure, networking, security, and application performance. Incident and Problem Management: Lead the resolution of major incidents, perform root cause analysis (RCA), and implement preventative measures to minimize future occurrences. Infrastructure as Code (IaC) and Automation: Design, build, and maintain our cloud infrastructure using IaC principles with tools like Terraform. Develop and enhance automation scripts using Python or Bash to streamline operational tasks. Monitoring, Logging, and Alerting: Implement and manage comprehensive monitoring and logging solutions using Google Cloud's operations suite (formerly Stackdriver) and other third-party tools to ensure proactive issue detection and resolution. Security and Compliance: Implement and enforce security best practices within the GCP environment, including IAM policies, network security controls, and data encryption. Ensure compliance with industry standards. Mentorship and Collaboration: Provide technical guidance and mentorship to L1/L2 support engineers. Collaborate closely with development, operations, and security teams to foster a culture of reliability and automation. Required Qualifications: Experience: 5+ years of experience in a cloud engineering, with at least 3 years of hands-on experience with Google Cloud Platform. GCP Expertise: In-depth knowledge of core GCP services including Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, VPC, Cloud SQL, and BigQuery. Infrastructure as Code (IaC): Proven experience with Terraform for provisioning and managing cloud infrastructure. Scripting: Proficiency in scripting languages such as Python or Bash for automation. Containerization: Strong understanding of Docker and container orchestration with Kubernetes. Troubleshooting: Demonstrated ability to troubleshoot complex technical issues across the entire technology stack. Preferred Qualifications: Certifications: Google Cloud Certified - Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Cloud Security Engineer. Networking: Advanced knowledge of cloud networking concepts, including VPNs, interconnects, and firewall rules. Databases: Experience with managing and optimizing relational and NoSQL databases in a cloud environment. Big Data: Familiarity with GCP's data and analytics services like Dataflow, Dataproc, and Pub/Sub. Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.ETL Developer (Google Cloud Data Fusion) – Contract Role
Posted today
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Job Description
Location: Remote
Contract Duration: 3 Months
Start Date: Immediate
About the Role:
We are looking for a detail-oriented ETL Developer with 2–3 years of hands-on experience in Google Cloud Data Fusion to support a 3-month data transformation and reporting project. The role will focus on data wrangling and ETL workflows to create structured inputs for downstream Tableau dashboards .
If you have strong expertise in Google Cloud Fusion and can work independently on complex data preparation tasks, this is a great opportunity to contribute to a fast-paced, impact-driven consulting project.
Key Responsibilities:
- Design, build, and maintain ETL pipelines in Google Cloud Data Fusion to extract, transform, and load large datasets from multiple sources.
- Ensure data quality, consistency, and accuracy through validation and cleansing.
- Collaborate with the analytics and visualization team to prepare inputs for Tableau dashboards .
- Troubleshoot data flow and performance issues, optimizing pipelines for efficiency.
- Document ETL processes and workflows to ensure repeatability and scalability.
Required Qualifications:
- 2–3 years of hands-on experience with Google Cloud Data Fusion for ETL and data wrangling.
- Strong understanding of relational databases, SQL, and data transformation techniques.
- Experience working with structured and semi-structured data (e.g., Bigquery, CSV, JSON, APIs).
- Ability to work independently and manage deliverables in a fast-paced project environment.
Preferred (Nice-to-Have):
- Experience with Tableau (building dashboards, creating calculated fields, data blending).
- Familiarity with other BI tools (Power BI, Alteryx, etc.) is a plus.
- Exposure to consulting-style projects or client delivery environments.
ETL Developer (Google Cloud Data Fusion) – Contract Role
Posted today
Job Viewed
Job Description
Location: Remote
Contract Duration: 3 Months
Start Date: Immediate
About the Role:
We are looking for a detail-oriented ETL Developer with 2–3 years of hands-on experience in Google Cloud Data Fusion to support a 3-month data transformation and reporting project. The role will focus on data wrangling and ETL workflows to create structured inputs for downstream Tableau dashboards .
If you have strong expertise in Google Cloud Fusion and can work independently on complex data preparation tasks, this is a great opportunity to contribute to a fast-paced, impact-driven consulting project.
Key Responsibilities:
- Design, build, and maintain ETL pipelines in Google Cloud Data Fusion to extract, transform, and load large datasets from multiple sources.
- Ensure data quality, consistency, and accuracy through validation and cleansing.
- Collaborate with the analytics and visualization team to prepare inputs for Tableau dashboards .
- Troubleshoot data flow and performance issues, optimizing pipelines for efficiency.
- Document ETL processes and workflows to ensure repeatability and scalability.
Required Qualifications:
- 2–3 years of hands-on experience with Google Cloud Data Fusion for ETL and data wrangling.
- Strong understanding of relational databases, SQL, and data transformation techniques.
- Experience working with structured and semi-structured data (e.g., Bigquery, CSV, JSON, APIs).
- Ability to work independently and manage deliverables in a fast-paced project environment.
Preferred (Nice-to-Have):
- Experience with Tableau (building dashboards, creating calculated fields, data blending).
- Familiarity with other BI tools (Power BI, Alteryx, etc.) is a plus.
- Exposure to consulting-style projects or client delivery environments.