20 Gce Jobs

Req ID: 327316 We are currently seeking a GCP & GKE - Sr Cloud Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Job Title / RoleGCP & GKE - Sr Cloud Engineer Primary SkillCloud-Infrastructure-Google Cloud Platform Minimum work experience4+ yrs Total Experience4+ Years Mandatory Skills: Technical Qualification/ Knowledge Expertise in assessment, designing and implementing GCP solutions including aspects like compute, network, storage, identity, security , DR/business continuity strategy, migration , templates , cost optimization, PowerShell ,Terraforms, Ansible etc. Must have GCP Solution Architect Certification Should have prior experience in executing large complex cloud transformation programs including discovery, assessment, business case creation, design , build , migration planning and migration execution Should have prior experience in using industry leading or native discovery, assessment and migration tools. Good knowledge on the cloud technology, different patterns, deployment methods, compatibility of the applications Good knowledge on the GCP technologies and associated components and variations Anthos Application Platform Working knowledge on GCE, GAE, GKE and GCS Hands-on experience in creating and provisioning compute Instances using GCP console, Terraform and Google Cloud SDK. Creating Databases in GCP and in VM"™s Knowledge of data analyst tool (big query). Knowledge of cost analysis and cost optimization. Knowledge of Git & GitHub. Knowledge on Terraform and Jenkins. Monitoring the VM and Applications using Stack driver. Working knowledge on VPN and Interconnect setup. Hands on experience in setting up HA environment. Hands on experience in Creating VM instances in Google cloud Platform. Hands on experience in Cloud storage and retention policies in storage. Managing Users on Google IAM Service and providing them appropriate permissions. GKE Install Tools - Set up Kubernetes tools Administer a Cluster Configure Pods and Containers Perform common configuration tasks for Pods and containers. Monitoring, Logging, and Debugging Inject Data Into Applications Specify configuration and other data for the Pods that run your workload. Run Applications Run and manage both stateless and stateful applications. Run Jobs Run Jobs using parallel processing. Access Applications in a Cluster Extend Kubernetes Understand advanced ways to adapt your Kubernetes cluster to the needs of your work environment. Manage Cluster Daemons Perform common tasks for managing a DaemonSet, such as performing a rolling update. Extend kubectl with plugins Extend kubectl by creating and installing kubectl plugins. Manage HugePages Configure and manage huge pages as a schedulable resource in a cluster. Schedule GPUs Configure and schedule GPUs for use as a resource by nodes in a cluster. CertificationGCP Engineer & GKE Academic Qualification: B. Tech or equivalent or MCA Process/ Quality Knowledge Must have clear knowledge on ITIL based service delivery. ITIL certification is desired. Knowledge on quality Knowledge on security processes Soft Skills: Good communication skill and capability to work directly with global customers Timely and accurate communication Need to demonstrate the ownership for the technical issues and engage the right stakeholders for timely resolution. Flexibility to learn and lead other technology areas like other public cloud technologies, private cloud, automation

Req ID: 327258 We are currently seeking a GCP & GKE - Sr Cloud Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Title / RoleGCP & GKE - Sr Cloud Engineer : Primary SkillCloud-Infrastructure-Google Cloud Platform Minimum work experience4+ yrs Total Experience4+ Years Mandatory Skills: Technical Qualification/ Knowledge: Expertise in assessment, designing and implementing GCP solutions including aspects like compute, network, storage, identity, security , DR/business continuity strategy, migration , templates , cost optimization, PowerShell ,Terraforms, Ansible etc. Must have GCP Solution Architect Certification Should have prior experience in executing large complex cloud transformation programs including discovery, assessment, business case creation, design , build , migration planning and migration execution Should have prior experience in using industry leading or native discovery, assessment and migration tools. Good knowledge on the cloud technology, different patterns, deployment methods, compatibility of the applications Good knowledge on the GCP technologies and associated components and variations Anthos Application Platform "¢ Working knowledge on GCE, GAE, GKE and GCS "¢ Hands-on experience in creating and provisioning compute Instances using GCP console, Terraform and Google Cloud SDK. "¢ Creating Databases in GCP and in VM"™s "¢ Knowledge of data analyst tool (big query). "¢ Knowledge of cost analysis and cost optimization. "¢ Knowledge of Git & GitHub. "¢ Knowledge on Terraform and Jenkins. "¢ Monitoring the VM and Applications using Stack driver. "¢ Working knowledge on VPN and Interconnect setup. "¢ Hands on experience in setting up HA environment. "¢ Hands on experience in Creating VM instances in Google cloud Platform. "¢ Hands on experience in Cloud storage and retention policies in storage. "¢ Managing Users on Google IAM Service and providing them appropriate permissions. "¢ GKE "¢ Install Tools - Set up Kubernetes tools "¢ Administer a Cluster "¢ Configure Pods and Containers "¢ Perform common configuration tasks for Pods and containers. "¢ Monitoring, Logging, and Debugging "¢ Inject Data Into Applications "¢ Specify configuration and other data for the Pods that run your workload. "¢ Run Applications "¢ Run and manage both stateless and stateful applications. "¢ Run Jobs "¢ Run Jobs using parallel processing. "¢ Access Applications in a Cluster "¢ Extend Kubernetes "¢ Understand advanced ways to adapt your Kubernetes cluster to the needs of your work environment. "¢ Manage Cluster Daemons "¢ Perform common tasks for managing a DaemonSet, such as performing a rolling update. "¢ Extend kubectl with plugins "¢ Extend kubectl by creating and installing kubectl plugins. "¢ Manage HugePages "¢ Configure and manage huge pages as a schedulable resource in a cluster. "¢ Schedule GPUs "¢ Configure and schedule GPUs for use as a resource by nodes in a cluster. CertificationGCP Engineer & GKE Academic Qualification B. Tech or equivalent or MCA Process/ Quality Knowledge: Must have clear knowledge on ITIL based service delivery. ITIL certification is desired. Knowledge on quality Knowledge on security processes Soft Skills: Good communication skill and capability to work directly with global customers Timely and accurate communication Need to demonstrate the ownership for the technical issues and engage the right stakeholders for timely resolution. Flexibility to learn and lead other technology areas like other public cloud technologies, private cloud, automation

Req ID: 327315 We are currently seeking a GCP & GKE - Sr Cloud Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Title / RoleGCP & GKE - Sr Cloud Engineer Primary SkillCloud-Infrastructure-Google Cloud Platform Minimum work experience4+ yrs Total Experience4+ Years Mandatory Skills: Technical Qualification/ Knowledge Expertise in assessment, designing and implementing GCP solutions including aspects like compute, network, storage, identity, security , DR/business continuity strategy, migration , templates , cost optimization, PowerShell ,Terraforms, Ansible etc. Must have GCP Solution Architect Certification Should have prior experience in executing large complex cloud transformation programs including discovery, assessment, business case creation, design , build , migration planning and migration execution Should have prior experience in using industry leading or native discovery, assessment and migration tools. Good knowledge on the cloud technology, different patterns, deployment methods, compatibility of the applications Good knowledge on the GCP technologies and associated components and variations Anthos Application Platform Working knowledge on GCE, GAE, GKE and GCS Hands-on experience in creating and provisioning compute Instances using GCP console, Terraform and Google Cloud SDK. Creating Databases in GCP and in VM"™s Knowledge of data analyst tool (big query). Knowledge of cost analysis and cost optimization. Knowledge of Git & GitHub. Knowledge on Terraform and Jenkins. Monitoring the VM and Applications using Stack driver. Working knowledge on VPN and Interconnect setup. Hands on experience in setting up HA environment. Hands on experience in Creating VM instances in Google cloud Platform. Hands on experience in Cloud storage and retention policies in storage. Managing Users on Google IAM Service and providing them appropriate permissions. GKE Install Tools - Set up Kubernetes tools Administer a Cluster Configure Pods and Containers Perform common configuration tasks for Pods and containers. Monitoring, Logging, and Debugging Inject Data Into Applications Specify configuration and other data for the Pods that run your workload. Run Applications Run and manage both stateless and stateful applications. Run Jobs Run Jobs using parallel processing. Access Applications in a Cluster Extend Kubernetes Understand advanced ways to adapt your Kubernetes cluster to the needs of your work environment. Manage Cluster Daemons Perform common tasks for managing a DaemonSet, such as performing a rolling update. Extend kubectl with plugins Extend kubectl by creating and installing kubectl plugins. Manage HugePages Configure and manage huge pages as a schedulable resource in a cluster. Schedule GPUs Configure and schedule GPUs for use as a resource by nodes in a cluster. CertificationGCP Engineer & GKE Academic Qualification: B. Tech or equivalent or MCA Process/ Quality Knowledge Must have clear knowledge on ITIL based service delivery. ITIL certification is desired. Knowledge on quality Knowledge on security processes Soft Skills: Good communication skill and capability to work directly with global customers Timely and accurate communication Need to demonstrate the ownership for the technical issues and engage the right stakeholders for timely resolution. Flexibility to learn and lead other technology areas like other public cloud technologies, private cloud, automation

Req ID: 327318 We are currently seeking a GCP & GKE - Sr Cloud Engineer to join our team in Chennai, Tamil Ndu (IN-TN), India (IN). Job Title / RoleGCP & GKE - Sr Cloud Engineer Primary SkillCloud-Infrastructure-Google Cloud Platform Minimum work experience4+ yrs Total Experience4+ Years Mandatory Skills: Technical Qualification/ Knowledge Expertise in assessment, designing and implementing GCP solutions including aspects like compute, network, storage, identity, security , DR/business continuity strategy, migration , templates , cost optimization, PowerShell ,Terraforms, Ansible etc. Must have GCP Solution Architect Certification Should have prior experience in executing large complex cloud transformation programs including discovery, assessment, business case creation, design , build , migration planning and migration execution Should have prior experience in using industry leading or native discovery, assessment and migration tools. Good knowledge on the cloud technology, different patterns, deployment methods, compatibility of the applications Good knowledge on the GCP technologies and associated components and variations Anthos Application Platform Working knowledge on GCE, GAE, GKE and GCS Hands-on experience in creating and provisioning compute Instances using GCP console, Terraform and Google Cloud SDK. Creating Databases in GCP and in VM"™s Knowledge of data analyst tool (big query). Knowledge of cost analysis and cost optimization. Knowledge of Git & GitHub. Knowledge on Terraform and Jenkins. Monitoring the VM and Applications using Stack driver. Working knowledge on VPN and Interconnect setup. Hands on experience in setting up HA environment. Hands on experience in Creating VM instances in Google cloud Platform. Hands on experience in Cloud storage and retention policies in storage. Managing Users on Google IAM Service and providing them appropriate permissions. GKE Install Tools - Set up Kubernetes tools Administer a Cluster Configure Pods and Containers Perform common configuration tasks for Pods and containers. Monitoring, Logging, and Debugging Inject Data Into Applications Specify configuration and other data for the Pods that run your workload. Run Applications Run and manage both stateless and stateful applications. Run Jobs Run Jobs using parallel processing. Access Applications in a Cluster Extend Kubernetes Understand advanced ways to adapt your Kubernetes cluster to the needs of your work environment. Manage Cluster Daemons Perform common tasks for managing a DaemonSet, such as performing a rolling update. Extend kubectl with plugins Extend kubectl by creating and installing kubectl plugins. Manage HugePages Configure and manage huge pages as a schedulable resource in a cluster. Schedule GPUs Configure and schedule GPUs for use as a resource by nodes in a cluster. CertificationGCP Engineer & GKE Academic Qualification: B. Tech or equivalent or MCA Process/ Quality Knowledge Must have clear knowledge on ITIL based service delivery. ITIL certification is desired. Knowledge on quality Knowledge on security processes Soft Skills: Good communication skill and capability to work directly with global customers Timely and accurate communication Need to demonstrate the ownership for the technical issues and engage the right stakeholders for timely resolution. Flexibility to learn and lead other technology areas like other public cloud technologies, private cloud, automation

Req ID: 327319 We are currently seeking a GCP & GKE - Sr Cloud Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). Job Title / RoleGCP & GKE - Sr Cloud Engineer Primary SkillCloud-Infrastructure-Google Cloud Platform Minimum work experience4+ yrs Total Experience4+ Years Mandatory Skills: Technical Qualification/ Knowledge Expertise in assessment, designing and implementing GCP solutions including aspects like compute, network, storage, identity, security , DR/business continuity strategy, migration , templates , cost optimization, PowerShell ,Terraforms, Ansible etc. Must have GCP Solution Architect Certification Should have prior experience in executing large complex cloud transformation programs including discovery, assessment, business case creation, design , build , migration planning and migration execution Should have prior experience in using industry leading or native discovery, assessment and migration tools. Good knowledge on the cloud technology, different patterns, deployment methods, compatibility of the applications Good knowledge on the GCP technologies and associated components and variations Anthos Application Platform Working knowledge on GCE, GAE, GKE and GCS Hands-on experience in creating and provisioning compute Instances using GCP console, Terraform and Google Cloud SDK. Creating Databases in GCP and in VM"™s Knowledge of data analyst tool (big query). Knowledge of cost analysis and cost optimization. Knowledge of Git & GitHub. Knowledge on Terraform and Jenkins. Monitoring the VM and Applications using Stack driver. Working knowledge on VPN and Interconnect setup. Hands on experience in setting up HA environment. Hands on experience in Creating VM instances in Google cloud Platform. Hands on experience in Cloud storage and retention policies in storage. Managing Users on Google IAM Service and providing them appropriate permissions. GKE Install Tools - Set up Kubernetes tools Administer a Cluster Configure Pods and Containers Perform common configuration tasks for Pods and containers. Monitoring, Logging, and Debugging Inject Data Into Applications Specify configuration and other data for the Pods that run your workload. Run Applications Run and manage both stateless and stateful applications. Run Jobs Run Jobs using parallel processing. Access Applications in a Cluster Extend Kubernetes Understand advanced ways to adapt your Kubernetes cluster to the needs of your work environment. Manage Cluster Daemons Perform common tasks for managing a DaemonSet, such as performing a rolling update. Extend kubectl with plugins Extend kubectl by creating and installing kubectl plugins. Manage HugePages Configure and manage huge pages as a schedulable resource in a cluster. Schedule GPUs Configure and schedule GPUs for use as a resource by nodes in a cluster. CertificationGCP Engineer & GKE Academic Qualification: B. Tech or equivalent or MCA Process/ Quality Knowledge Must have clear knowledge on ITIL based service delivery. ITIL certification is desired. Knowledge on quality Knowledge on security processes Soft Skills: Good communication skill and capability to work directly with global customers Timely and accurate communication Need to demonstrate the ownership for the technical issues and engage the right stakeholders for timely resolution. Flexibility to learn and lead other technology areas like other public cloud technologies, private cloud, automation

Req ID: 328283 We are currently seeking a Jr Cloud Engineer - GCP to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Title / RoleJr Cloud Engineer - GCP : Primary SkillCloud-Infrastructure-Google Cloud Platform Minimum work experience1+ yrs Total Experience1+ Years Mandatory Skills: Technical Qualification/ Knowledge: Working knowledge on GCE, GAE, GKE and GCS Hands-on experience in creating and provisioning compute Instances using GCP console, Terraform and Google Cloud SDK. Creating Databases in GCP and in VM"™s Knowledge of data analyst tool (big query). Knowledge of cost analysis and cost optimization. Knowledge of Git & GitHub. Knowledge on Terraform and Jenkins. Monitoring the VM and Applications using Stack driver. Working knowledge on VPN and Interconnect setup. Hands on experience in setting up HA environment. Hands on experience in Creating VM instances in Google cloud Platform. Hands on experience in Cloud storage and retention policies in storage. Managing Users on Google IAM Service and providing them appropriate permissions . GKE - Designing, implementing, managing, and deploying cloud-native applications in a Kubernetes environment. GKE - Automation, troubleshooting issues, and mentoring the team members. GKE - Understand security, efficiency, scalability of core services and capabilities. CertificationGCP Engineer & GKE Process/ Quality Knowledge: Must have clear knowledge on ITIL based service delivery. Soft Skills: Good communication skill and capability to work directly with global customers Timely and accurate communication Need to demonstrate the ownership for the technical issues and engage the right stakeholders for timely resolution. Flexibility to learn and lead other technology areas like other public cloud technologies, private cloud, automation Location - Bengaluru,Chennai,Noida,Pune

Req ID: 327298 We are currently seeking a GCP Solution Architect to join our team in Bangalore, Karntaka (IN-KA), India (IN). Primary SkillCloud-Infrastructure-Google Cloud Platform Minimum work experience4+ yrs Total Experience4+ Years Mandatory Skills: Technical Qualification/ Knowledge Expertise in assessment, designing and implementing GCP solutions including aspects like compute, network, storage, identity, security , DR/business continuity strategy, migration , templates , cost optimization, PowerShell ,Terraforms, Ansible etc. Must have GCP Solution Architect Certification Should have prior experience in executing large complex cloud transformation programs including discovery, assessment, business case creation, design , build , migration planning and migration execution Should have prior experience in using industry leading or native discovery, assessment and migration tools. Good knowledge on the cloud technology, different patterns, deployment methods, compatibility of the applications Good knowledge on the GCP technologies and associated components and variations Anthos Application Platform Working knowledge on GCE, GAE, GKE and GCS Hands-on experience in creating and provisioning compute Instances using GCP console, Terraform and Google Cloud SDK. Creating Databases in GCP and in VM"™s Knowledge of data analyst tool (big query). Knowledge of cost analysis and cost optimization. Knowledge of Git & GitHub. Knowledge on Terraform and Jenkins. Monitoring the VM and Applications using Stack driver. Working knowledge on VPN and Interconnect setup. Hands on experience in setting up HA environment. Hands on experience in Creating VM instances in Google cloud Platform. Hands on experience in Cloud storage and retention policies in storage. Managing Users on Google IAM Service and providing them appropriate permissions. GKE Install Tools - Set up Kubernetes tools Administer a Cluster Configure Pods and Containers Perform common configuration tasks for Pods and containers. Monitoring, Logging, and Debugging Inject Data Into Applications Specify configuration and other data for the Pods that run your workload. Run Applications Run and manage both stateless and stateful applications. Run Jobs Run Jobs using parallel processing. Access Applications in a Cluster Extend Kubernetes Understand advanced ways to adapt your Kubernetes cluster to the needs of your work environment. Manage Cluster Daemons Perform common tasks for managing a DaemonSet, such as performing a rolling update. Extend kubectl with plugins Extend kubectl by creating and installing kubectl plugins. Manage HugePages Configure and manage huge pages as a schedulable resource in a cluster. Schedule GPUs Configure and schedule GPUs for use as a resource by nodes in a cluster. CertificationGCP Engineer & GKE Academic Qualification: B. Tech or equivalent or MCA Process/ Quality Knowledge Must have clear knowledge on ITIL based service delivery. ITIL certification is desired. Knowledge on quality Knowledge on security processes Soft Skills: Good communication skill and capability to work directly with global customers Timely and accurate communication Need to demonstrate the ownership for the technical issues and engage the right stakeholders for timely resolution. Flexibility to learn and lead other technology areas like other public cloud technologies, private cloud, automation

Devops + GCP 5+ Years Location - Hyderabad Essential Experience Proficient with CICD toolchains (e.g. Azure DevOps, Jenkins, Git, Artefactory etc.) Proficient in one or more scripting languages for automation (e.g. Linux Bash, PowerShell, Python) Proficient in provisioning platforms via Infrastructure-as-Code (IaC) techniques (e.g. Terraform, YAML, Azure Resource Manager (ARM)) Working experience configuring, securing and administering platforms in Azure; knowledge in Cloud infrastructure and networking principles (e.g. Azure PaaS, IaaS) Demonstrable knowledge of working with distributed data platforms (e.g. Azure ADLS, Data Lakes) Experience working with vulnerability management and code-inspection tooling (e.g. Snyk, SonarQube) Possess an automation-firstmindset when building solutions; considerations for self-healing and fault-tolerant methods to minimize manual intervention and downtime

About The Role : Job TitleDevOps Engineer, AS LocationBangalore, India Role Description Deutsche Bank has set for itself ambitious goals in the areas of Sustainable Finance, ESG Risk Mitigation as well as Corporate Sustainability. As Climate Change throws new Challenges and opportunities, Bank has set out to invest in developing a Sustainability Technology Platform, Sustainability data products and various sustainability applications which will aid Banks goals. As part of this initiative, we are building an exciting global team of technologists who are passionate about Climate Change, want to contribute to greater good leveraging their Technology Skillset in Cloud / Hybrid Architecture. As part of this Role, we are seeking a highly skilled and experienced DevOps Engineer to join our growing team. In this role, you will play a pivotal role in managing and optimizing cloud infrastructure, facilitating continuous integration and delivery, and ensuring system reliability. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy. Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Create, implement, and oversee scalable, secure, and cost-efficient cloud infrastructures on Google Cloud Platform (GCP). Utilize Infrastructure as Code (IaC) methodologies with tools such as Terraform, Deployment Manager, or alternatives. Implement robust security measures to ensure data access control and compliance with regulations. Adopt security best practices, establish IAM policies, and ensure adherence to both organizational and regulatory requirements. Set up and manage Virtual Private Clouds (VPCs), subnets, firewalls, VPNs, and interconnects to facilitate secure cloud networking. Establish continuous integration and continuous deployment (CI/CD) pipelines using Jenkins, GitHub Actions, or comparable tools for automated application deployments. Implement monitoring and alerting solutions through Stackdriver (Cloud Operations), Prometheus, or other third-party applications. Evaluate and optimize cloud expenditures by utilizing committed use discounts, autoscaling features, and resource rightsizing. Manage and deploy containerized applications through Google Kubernetes Engine (GKE) and Cloud Run. Deploy and manage GCP databases like Cloud SQL, BigQuery. Your skills and experience Minimum of 5+ years of experience in DevOps or similar roles with hands-on experience in GCP. In-depth knowledge of Google Cloud services (e.g., GCE, GKE, Cloud Functions, Cloud Run, Pub/Sub, BigQuery, Cloud Storage) and the ability to architect, deploy, and manage cloud-native applications. Proficient in using tools like Jenkins, GitLab, Terraform, Ansible, Docker, Kubernetes. Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or GCP-native Deployment Manager. Solid understanding of security protocols, IAM, networking, and compliance requirements within cloud environments. Strong problem-solving skills and ability to troubleshoot cloud-based infrastructure. Google Cloud certifications (e.g., Associate Cloud Engineer, Professional Cloud Architect, or Professional DevOps Engineer) are a plus. How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Devops + GCP 5+ Years Location - Hyderabad Essential Experience Proficient with CICD toolchains (e.g. Azure DevOps, Jenkins, Git, Artefactory etc.) Proficient in one or more scripting languages for automation (e.g. Linux Bash, PowerShell, Python) Proficient in provisioning platforms via Infrastructure-as-Code (IaC) techniques (e.g. Terraform, YAML, Azure Resource Manager (ARM)) Working experience configuring, securing and administering platforms in Azure; knowledge in Cloud infrastructure and networking principles (e.g. Azure PaaS, IaaS) Demonstrable knowledge of working with distributed data platforms (e.g. Azure ADLS, Data Lakes) Experience working with vulnerability management and code-inspection tooling (e.g. Snyk, SonarQube) Possess an automation-firstmindset when building solutions; considerations for self-healing and fault-tolerant methods to minimize manual intervention and downtime

About The Role Java Developer Strong skills in critical thinking, decision making, problem-solving, and attention to details Experience with building Cloud vendor agnostic SaaS product. Experience in Java, Spring boot microservices, deployed as containers in Kubernetes ecosystem. In depth understanding of micro services architectures, technological familiarity with public/private/hybrid cloud, Openstack, GCE, Kubernetes, AWS Have deep understanding of building API's/services That are built on top of MQ's - RabbitMQ, Kafka, NATS etc. That uses cache like Redis, Memcached to improve the performance of the platform That scales to millions of users in a cloud environment like Private cloud, GCP, AWS, Azure, etc. Good to have OAuth, OpenID, SAML based authentication experience.

About The Role Java Developer Strong skills in critical thinking, decision making, problem-solving, and attention to details Experience with building Cloud vendor agnostic SaaS product. Experience in Java, Spring boot microservices, deployed as containers in Kubernetes ecosystem. In depth understanding of micro services architectures, technological familiarity with public/private/hybrid cloud, Openstack, GCE, Kubernetes, AWS Have deep understanding of building API's/services That are built on top of MQ's - RabbitMQ, Kafka, NATS etc. That uses cache like Redis, Memcached to improve the performance of the platform That scales to millions of users in a cloud environment like Private cloud, GCP, AWS, Azure, etc. Good to have OAuth, OpenID, SAML based authentication experience.

We are seeking skilled and experienced DevOps Engineer to join our team. As a DevOps Engineer, you will be responsible for end-to-end support of our DevOps tools, including Jenkins, Terraform, and Google Cloud Platform.

About The Role JAVA BACKEND DEVELOPER Experience in Java, Spring boot microservices, deployed as containers in Kubernetes ecosystem. Deep understanding of software engineering principles and process along with the ability to apply this knowledge to execute projects and optimize development strategies Experience with building Cloud vendor agnostic SaaS product. In depth understanding of micro services architectures, technological familiarity with public/private/hybrid cloud, Openstack, GCE, Kubernetes, AWS Have deep understanding of building API's/services That are built on top of MQ's - RabbitMQ, Kafka, NATS etc. That uses cache like Redis, Memcached to improve the performance of the platform That scales to millions of users in a cloud environment like Private cloud, GCP, AWS, Azure, etc. Good to have OAuth, OpenID, SAML based authentication experience

About The Role Java Developer Experience with building Cloud vendor agnostic SaaS product. Experience in Java, Spring boot microservices, deployed as containers in Kubernetes ecosystem. In depth understanding of micro services architectures, technological familiarity with public/private/hybrid cloud, Openstack, GCE, Kubernetes, AWS Have deep understanding of building API's/services That are built on top of MQ's - RabbitMQ, Kafka, NATS etc. That uses cache like Redis, Memcached to improve the performance of the platform That scales to millions of users in a cloud environment like Private cloud, GCP, AWS, Azure, etc. Good to have OAuth, OpenID, SAML based authentication experience. Strong written and oral communication and interpersonal skill .

Job Summary: Are you ready to join a game-changing open source AI platform that harnesses the power of hybrid cloud to drive innovation? Red Hat OpenShift AI (RHOAI) is seeking exceptional Software Engineers (across all seniority levels) to join our engineering team. This is an extraordinary opportunity to contribute to the development of the RHOAI family of products while participating in open source communities such as Kubeflow, Trusty AI, and Kserve, and be at the forefront of the exciting evolution of AI. RHOAI delivers a robust set of technologies for Data Scientists and MLops personas such as model development, model serving, data pipelines, Kubeflow components, and Kubernetes operator development and is expanding into other areas at a high pace. By leveraging the combined strength of open source tools, and the recent developments in AI and hybrid cloud, we deliver unmatched value to our partners and customers. The future of AI is open, presenting extensive opportunities, and RHOAI stands as a strategic focus for Red Hat. You'll join a team that fosters continuous learning, career growth, and professional development. You'll have the freedom to rapidly design, secure, build, test, and release groundbreaking AI components. Are you ready to develop solutions combining open source, hybrid cloud, and AI? Come join the Red Hat OpenShift AI team! What you will do Contribute to architecture and design of RHOAI, and provide input that elevates the platform and user experience Lead the development of new platform technologies and solutions for RHOAI Use CI/CD best practices to develop and deliver solutions Participate in upstream communities such as Kubeflow to ensure the technologies work on OpenShift and can be integrated with RHOAI Present at OpenShift/Kubernetes, and AI/ML related technology conferences and internally within the AI/ML communities of practice Work with the open source communities to evaluate new AI, ML and big data technologies and create examples of integrations between their technology and RHOAI Mentor and guide other engineers What you will bring Demonstrate innovation skills and a passion for technology Define and apply RHOAI policies to ensure our RHOAI components are observable and scalable Demonstrable expertise in Go (preffered) or Python Understanding of Linux operating system Experience building and deploying container-based applications to include the install/upgrade through our operator Understanding of how Open Source and Free Software communities work Good understanding Kubernetes architecture and operators/controllers Good written and verbal communication skills; fluent English language skills Nice to Haves Security background Knowledge of prometheus monitoring stack Experience with development for public cloud services (AWS, GCE, Azure) Experience troubleshooting complex issues in distributed systems Bachelor's degree or higher in computer science or other related discipline

Devops + GCP 5+ Years Location - Pune Essential Experience Proficient with CICD toolchains (e.g. Azure DevOps, Jenkins, Git, Artefactory etc.) Proficient in one or more scripting languages for automation (e.g. Linux Bash, PowerShell, Python) Proficient in provisioning platforms via Infrastructure-as-Code (IaC) techniques (e.g. Terraform, YAML, Azure Resource Manager (ARM)) Working experience configuring, securing and administering platforms in Azure; knowledge in Cloud infrastructure and networking principles (e.g. Azure PaaS, IaaS) Demonstrable knowledge of working with distributed data platforms (e.g. Azure ADLS, Data Lakes) Experience working with vulnerability management and code-inspection tooling (e.g. Snyk, SonarQube) Possess an automation-firstmindset when building solutions; considerations for self-healing and fault-tolerant methods to minimize manual intervention and downtime

Job Title:GCP Cloud Engineer, AS Location:Pune, India Role Description About the business area: The Chief Information Security Office (CISO) is responsible for addressing information security risks to the Deutsche Bank global IT. As a GCP Cloud Engineer, you will play a critical role in our security Engineering team, focusing on security monitoring, threat remediation, and cloud infrastructure automation. You will be responsible for designing, implementing, and managing Google Cloud services, secure networking, and multi-SIEM environments. Additionally, you will drive Infrastructure as Code (IaC) adoption, ensuring a secure, scalable, and fully automated cloud security ecosystem. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Deploy, and manage scalable cloud infrastructure solutions on Google Cloud Platform (GCP) using Terraform. Implement and maintain Google DevSecOps best practices, ensuring security is embedded throughout the development lifecycle and compliance is upheld. Develop and maintain Infrastructure as Code (IaC) scripts and templates to automate cloud resource provisioning and SIEM configurations. Manage and optimize GitHub Actions & Runners for seamless CI/CD pipeline automation. Work cross-functionally to enhance existing integration automation and workflows. Oversee Incident & Problem Management, Change & Release Management, Vendor Management, and Capacity Planning to ensure platform reliability. Diagnose and resolve technical issues efficiently while implementing proactive solutions to minimize recurrence. Collaborate withsecurity vendorsand integrate third-party security and monitoring tools with GCP. Ensure compliance with security policies, standards, and best practices. Troubleshoot and resolve infrastructure-related issues in a timely manner. Advocate and implement GCP best practices to optimize infrastructure. Document infrastructure processes, configurations, and operational workflows for improved knowledge sharing and process efficiency. Your skills and experience The ideal candidate holds a degree in Computer Science, Engineering, Information Technology, or a related field, with a minimum of 5+ years of hands-on experience in Google Cloud security, DevSecOps practices, infrastructure automation, and third-party security tool integrations within the Google Cloud environment. Additionally, candidates should have recent experience in: Cloud Security Engineering, including identity and access management (IAM), secure networking, and infrastructure as code (IaC). CI/CD pipeline management, security automation, and the integration of third-party security and monitoring tools within Google Cloud Platform (GCP). Building and managing scalable infrastructure and security platforms. SIEM tools and technologies, such as Google SecOps, Splunk, etc. Deploying applications and managing cloud infrastructure on GCP with a strong focus on security and compliance. Hands-on experience with Terraform Enterprise (TFE), and GitHub Actions for infrastructure automation. In-depth knowledge of Google Cloud services (GCE, IAM, VPC, SCC, Logging, GKE, KMS) and best practices for cloud security. Experience in data ingestion from GCP services into SIEM for monitoring and threat detection. Strong understanding of Google DevSecOps principles and security compliance frameworks. Ability to troubleshoot, diagnose, and prevent incidents in cloud infrastructure. Independent, proactive, and self-motivated approach to problem-solving and security threat mitigation. Strong collaboration skills to work effectively with vendors, cloud architects, security teams, and third-party service providers. Excellent written and verbal communication skills to document security processes and collaborate across teams. A passion for cybersecurity with a strong aptitude for identifying and solving security challenges in cloud environments. Preferred Qualifications: Cloud Certifications Google Associate Cloud Engineer, Terraform associate, Google Professional Cloud Security Engineer. Experience with container orchestration platforms such as Kubernetes. Expertise in Git version control, including advanced repository management and GitHub Actions workflow configuration and familiarity with scripting languages like Python, PowerShell, or Bash. Prior experience working in financial institutions (e.g., banking, insurance, fintech, etc.). Familiarity with logging, monitoring, and observability tools in GCP (e.g., Cloud Logging, Cloud Monitoring, Google SecOps). How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Summary: Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation? The Red Hat OpenShift AI team is looking for a Senior Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. Youll join an ecosystem that fosters continuous learning, career growth, and professional development. You will be contributing as a core developer for the Model Training team, the core Model training tools (Ray, Kubleflow, Pytorch etc) for OpenShift AI. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. This role is for an individual contributor who also leads other junior engineers in the team and collaborates closely with other developers and cross-functional teams. You will have the opportunity to actively participate in both our downstream efforts as well as the upstream projects. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform. What you will do Participate in architect and lead implementation tasks of the new features and solutions for OpenShift AI Innovate in the MLOps domain by contributing meaningfully to upstream communities Develop integrations between various portions of the OpenShift AI stack Participate in technical vision and leadership on critical and high impact projects Ensure non-functional requirements including security, resiliency, and maintainability are met Write unit and integration tests and work with quality engineers to ensure product quality Use CI/CD best practices to deliver solutions as productization efforts into OpenShift AI Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts Give thoughtful and prompt code reviews Help in mentoring, influencing, and coaching a distributed team of engineers What you will bring Experience developing applications in Go Experience developing applications in Python Experience developing applications in Kubernetes, OpenShift, or other cloud-native technologies Ability to quickly learn and guide others on using new tools and technologies Proven ability to innovate and a passion for staying at the forefront of technology. Experience with distributed systems (especially those that run on Kubernetes) and troubleshooting them Autonomous work ethic, thriving in a dynamic, fast-paced environment. Experience providing technical leadership in a global team and delivering on a vision Excellent written and verbal communication skills The following will be considered a plus: While a Bachelors degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess Understanding of how Open Source communities work Experience with development for public cloud services (AWS, GCE, Azure) Experience working with or deploying MLOps platforms Experience with AI/ML Model training and tuning Experience writing Kubernetes/OpenShift controllers and operators Experience writing DSLs in Python or other language

The Red Hat OpenShift AI (RHOAI) team is seeking a skilled and motivated Senior Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join a group of passionate professionals developing innovative AI products. This role demands technical expertise, strong leadership, and the ability to hit the ground running. Our mission is to create a powerful platform and community to help enterprise customers accelerate business success using AI. This is a unique opportunity to shape the next generation of hybrid cloud MLOps platforms, contribute to the development of RHOAI products, and actively engage in open-source communities at the forefront of AI evolution. You'll join a team that fosters continuous learning, career growth, and professional development. You will work closely with cross-functional teams, including Product Management and Software Development/Quality/front-end Engineers, to gain a comprehensive understanding of features, customer use cases, and technical implementations. You'll have the freedom to rapidly design, secure, build, test, and release groundbreaking AI components. Success in this position requires a proactive approach, strong problem-solving abilities, and keen attention to detail. Are you ready to develop solutions combining open source, hybrid cloud, and AI? Come join the Red Hat OpenShift AI team! What you will do Contribute to the architecture, design, development, and testing of new features and solutions for RHOAI Innovate in the MLOps domain by participating in upstream communities Ensure non-functional requirements including security, resiliency, and maintainability are met Write unit and integration tests and work with quality engineers to ensure product quality Use CI/CD best practices to deliver solutions as productization efforts into RHOAI Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts Give thoughtful and prompt code reviews Represent RHOAI in external engagements including industry events, customer meetings, and open source communities Mentor and guide other engineers What you will bring Strong experience developing applications in Go or Python, or other language Strong experience in Kubernetes, OpenShift or other cloud-native technologies Ability to quickly learn and guide others on using new tools and technologies Experience with source code management tools such as Git Innovation skills and a passion for technology Strong system understanding and troubleshooting capabilities Autonomous work ethic, thriving in a dynamic, fast-paced environment. Familiarity with data science workflows and machine learning pipelines. Excellent written and verbal communication skill The following will be considered a plus: While a Bachelors degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess Understanding of how Open Source and Free Software communities work Experience with development for public cloud services (AWS, GCE, Azure) Experience working with or deploying x