645 Gcp jobs in Bengaluru

We are looking for 4+yrs experienced candidate

Skills:

• Expertise in infrastructure as code (IaC) using Hashicorp products like Terraform, Sentinel, and Vault
• Ability to write custom modules and providers for Terraform, as well as create and manage custom policies for governance and security purposes
• Understanding of networking concepts, such as VPCs, private service connections, and cross-cloud connectivity
• Knowledge of IAM controls, including custom roles and advanced IAM features like PAM
• Familiarity with logging, monitoring, cost optimization, performance, reliability, and disaster recovery
• Understanding of data warehousing concepts and the ability to support the Lumi data platform
• Knowledge of advanced compute capabilities, such as GPUs, TPUs, and their use in training and inference for AI/ML models
• Strong programming and problem-solving skills, as demonstrated through coding exercises

Job Description:

• Develop and manage infrastructure as code (IaC) using Hashicorp products like Terraform, Sentinel, and Vault
• Write custom modules and providers for Terraform, as well as create and manage custom policies for governance and security purposes
• Integrate and manage networking aspects, such as VPCs, private service connections, and cross-cloud connectivity
• Implement and manage IAM controls, including custom roles and advanced IAM features like PAM
• Oversee logging and monitoring, cost optimization, performance, reliability, and disaster recovery
• Understand data warehousing concepts and support the Lumi data platform
• Possess knowledge of advanced compute capabilities, such as GPUs, TPUs, and their use in training and inference for AI/ML models

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.
Location - Open
Position: Data Engineer (GCP) – Technology
If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As an Analytics Technology Engineer, you will work on the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.

*Responsibilities: *

• Be an integral part of large scale client business development and delivery engagements
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
• Build the knowledge base required to deliver increasingly complex technology projects

*Qualifications & Experience: *
A bachelor's degree in Computer Science or related field with 5 to 10 years of technology experience

*Desired Technical Skills: *

• Data Engineering and Analytics on Google Cloud Platform:

• Basic Cloud Computing Concepts

• Bigquery, Google Cloud Storage, Cloud SQL,
• PubSub, Dataflow, Cloud Composer, GCP Data Transfer,

• gcloud CLI

• Python, Google Cloud Python SDK, SQL

• Experience in working with Any NoSQL/Columnar / MPP Database
• Experience in working with Any ETL Tool (Informatica/DataStage/Talend/Pentaho etc.)
• Strong Knowledge of database concepts, Data Modeling in RDBMS Vs NoSQL, OLTP Vs OLAP, MPP Architecture

*Other Desired Skills: *

• Excellent communication and co-ordination skills
• Problem understanding, articulation and solutioning
• Quick learner & adaptable with regards to new technologies
• Ability to research & solve technical issues

*Responsibilities: *

• Developing Data Pipelines (Batch/Streaming)
• Developing Complex data transformations
• ETL Orchestration
• Data Migration
• Develop and Maintain Datawarehouse / Data Lakes

*Good To Have: *

• Experience in working with Apache Spark / Kafka
• Machine Learning concepts
• Google Cloud Professional Data Engineer Certification

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

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Job Description:

The Cloud Security team is responsible for securely enabling the use of cloud technologies to support the firm s desire to leverage cloud native services at enterprise scale. The Cloud Security team designs the security requirements that must be adhered to in cloud as well as builds the tooling and automation needed to provide enterprise capabilities to protect the firm and make securing workloads easier for application teams.

familiar with multiple cloud concepts, cloud services, and programming languages. The team this engineer will join implements security controls into our cloud platforms detective, preventative, and corrective and owns platforms used to further secure our cloud footprint. This team also works to enable the Security Operations teams to extend their enterprise security functions to the cloud environments.

Providing security recommendations and solutions for migrating and new applications in the Morgan Stanley environment to Azure, AWS with focus on GCP platforms.

Serve as a subject matter expert for security tools, DevOps practices across all major Cloud Providers.

Implement and manage GCP security controls.

Working closely with vendors and partner squads to develop, deploy, and test Cloud security services

Responding to Cloud security drifts in timely manner and working with the stakeholders to remediate the drifts.

Integrating, configuring, documenting, and deploying compliant infrastructure and supporting services in the Cloud platform

Troubleshooting problems, analyzing root cause, and fixing bugs introduced by owned or managed security solutions

Collaborating with Risk Management, Security Architecture, and Cyber Incident Response teams to ensure necessary controls to Cloud services are deployed and tested

Working in a globally distributed team to provide innovative and robust Cloud-centric solutions5+ experience in software and or cloud platform engineering, particularly focused on GCP environment.

Knowledge of the Shared Responsibility Model keen understanding of the security risks inherent in hosting cloud based applications and data

Experience developing across the security assurance lifecycle including prevent, detect, respond, and remediate controls

Experience configuring Public Cloud native security tooling and capabilities with focus Google Cloud Organizational policies constrains, VPC SC, IAM policies and GCP APIs.

Experience solutioning and configuring event driven serverless-based security controls in Azure, including but not limited to technologies such as Azure Function, Automation Runbook, AWS

Working knowledge of the Secure SDLC process.

Experience with Infrastructure as Code laC tooling, preferably Terraform.

Familiarity with Logging and data pipeline concepts and architectures in cloud.

Strong in scripting languages such as PowerShell or Python or Bash or Go.

Practical experience in designing and configuring CICD pipelines.

Practical experience in GitHub Action, and Jenkins.

Experience in ITSM.

Ability to articulate complex technical concepts to non-technical stakeholders.

Experience with risk control frameworks and engagements with risk and regulatory functions

Experience in the financial industry would be a plus.

Experience in Policyas code Rego and OPA platform would be a plus.

Cloud Certifications would be a plus.

GCP Cloud Platform Engineering

IaC Terraform

Scripting

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

We are looking for 4+yrs experienced candidate

Skills:

• Expertise in infrastructure as code (IaC) using Hashicorp products like Terraform, Sentinel, and Vault
• Ability to write custom modules and providers for Terraform, as well as create and manage custom policies for governance and security purposes
• Understanding of networking concepts, such as VPCs, private service connections, and cross-cloud connectivity
• Knowledge of IAM controls, including custom roles and advanced IAM features like PAM
• Familiarity with logging, monitoring, cost optimization, performance, reliability, and disaster recovery
• Understanding of data warehousing concepts and the ability to support the Lumi data platform
• Knowledge of advanced compute capabilities, such as GPUs, TPUs, and their use in training and inference for AI/ML models
• Strong programming and problem-solving skills, as demonstrated through coding exercises

Job Description:

• Develop and manage infrastructure as code (IaC) using Hashicorp products like Terraform, Sentinel, and Vault
• Write custom modules and providers for Terraform, as well as create and manage custom policies for governance and security purposes
• Integrate and manage networking aspects, such as VPCs, private service connections, and cross-cloud connectivity
• Implement and manage IAM controls, including custom roles and advanced IAM features like PAM
• Oversee logging and monitoring, cost optimization, performance, reliability, and disaster recovery
• Understand data warehousing concepts and support the Lumi data platform
• Possess knowledge of advanced compute capabilities, such as GPUs, TPUs, and their use in training and inference for AI/ML models

We are looking for 4+yrs experienced candidate

Skills:

• Expertise in infrastructure as code (IaC) using Hashicorp products like Terraform, Sentinel, and Vault
• Ability to write custom modules and providers for Terraform, as well as create and manage custom policies for governance and security purposes
• Understanding of networking concepts, such as VPCs, private service connections, and cross-cloud connectivity
• Knowledge of IAM controls, including custom roles and advanced IAM features like PAM
• Familiarity with logging, monitoring, cost optimization, performance, reliability, and disaster recovery
• Understanding of data warehousing concepts and the ability to support the Lumi data platform
• Knowledge of advanced compute capabilities, such as GPUs, TPUs, and their use in training and inference for AI/ML models
• Strong programming and problem-solving skills, as demonstrated through coding exercises

Job Description:

• Develop and manage infrastructure as code (IaC) using Hashicorp products like Terraform, Sentinel, and Vault
• Write custom modules and providers for Terraform, as well as create and manage custom policies for governance and security purposes
• Integrate and manage networking aspects, such as VPCs, private service connections, and cross-cloud connectivity
• Implement and manage IAM controls, including custom roles and advanced IAM features like PAM
• Oversee logging and monitoring, cost optimization, performance, reliability, and disaster recovery
• Understand data warehousing concepts and support the Lumi data platform
• Possess knowledge of advanced compute capabilities, such as GPUs, TPUs, and their use in training and inference for AI/ML models

We are looking for 4+yrs experienced candidate

Skills:

• Expertise in infrastructure as code (IaC) using Hashicorp products like Terraform, Sentinel, and Vault
• Ability to write custom modules and providers for Terraform, as well as create and manage custom policies for governance and security purposes
• Understanding of networking concepts, such as VPCs, private service connections, and cross-cloud connectivity
• Knowledge of IAM controls, including custom roles and advanced IAM features like PAM
• Familiarity with logging, monitoring, cost optimization, performance, reliability, and disaster recovery
• Understanding of data warehousing concepts and the ability to support the Lumi data platform
• Knowledge of advanced compute capabilities, such as GPUs, TPUs, and their use in training and inference for AI/ML models
• Strong programming and problem-solving skills, as demonstrated through coding exercises

Job Description:

• Develop and manage infrastructure as code (IaC) using Hashicorp products like Terraform, Sentinel, and Vault
• Write custom modules and providers for Terraform, as well as create and manage custom policies for governance and security purposes
• Integrate and manage networking aspects, such as VPCs, private service connections, and cross-cloud connectivity
• Implement and manage IAM controls, including custom roles and advanced IAM features like PAM
• Oversee logging and monitoring, cost optimization, performance, reliability, and disaster recovery
• Understand data warehousing concepts and support the Lumi data platform
• Possess knowledge of advanced compute capabilities, such as GPUs, TPUs, and their use in training and inference for AI/ML models

We are looking for a skilled DevOps GCP Engineer with 6-15 years of experience to join our team in Bangalore. The ideal candidate will have expertise in Google Cloud Platform (GCP) and a strong background in data engineering tools.

Roles and Responsibility

• Implement and maintain CI/CD pipelines using containerization technologies like Docker and orchestration platforms like Kubernetes.
• Design and deploy scalable architectures on GCP, ensuring high availability and performance.
• Develop and implement automated testing and deployment scripts using Python.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Ensure compliance with security best practices and industry standards.
• Troubleshoot and resolve complex technical issues efficiently.

Job Requirements

• Strong proficiency in scripting and automation using Python.
• Experience with data engineering tools and analytics, including MLOps deployment on Vertex AI.
• Knowledge of cloud platforms such as AWS and Azure is a plus.
• Proficiency in Google Cloud certifications, such as Google Cloud Certified Professional Cloud DevOps Engineer or Google Cloud Certified Data Engineer.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced environment.
• Any graduate can apply for this position.