27 Stackdriver Jobs

Role & responsibilities : Focus on creating reusable templates for automating recovery steps across client's managed devices and platforms running in GCP or Azure Increase efficiency, eliminate downtime and drive performance across all platform Write scripts and automation code to provision software deployed in Cloud Requirements Proficiency in C# or Java Experience with streaming platforms like Kafka, Flink, and Azure Event Hub Strong knowledge of Azure services: Function Apps,streaming analytics jobs, ADLS, Cosmos DB and Azure Data Factory Familiarity with NoSQL databases, especially Cosmos DB. Experience in developing openAI applications to automate manual processes Experience in real time data processing using Apache Flink, Fabric RTI good to have. Understanding of cloud-native development and DevOps practices. Excellent problem-solving, debugging, and communication skills.

We are seeking a Technical Service Delivery Manager / Technical Manager specializing in Cloud Delivery Operations. In this role, you will be responsible for overseeing the end-to-end management, optimization, and operational efficiency of AWS or Google Cloud Platform (GCP), as well as other cloud platforms. It is essential to have hands-on experience working on Data Centre Operations. Your primary focus will be to ensure seamless global service delivery, high availability, cost efficiency, and compliance with industry regulations. Additionally, you will drive ITIL-based service management practices across cloud ecosystems. As a key leader in global cloud operations, you will play a crucial role in implementing ITIL best practices, such as Incident, Problem, Change, and Release Management. Your responsibilities will include monitoring and optimizing cloud infrastructure, ensuring multi-region scalability, and aligning cloud services with business objectives. Collaboration with internal IT teams, cloud vendors, and global business stakeholders will be necessary to enhance service reliability, security, automation, and operational excellence. This position requires expertise in ITIL-based service management and global service delivery frameworks. You will be accountable for risk management, security enforcement, regulatory compliance, and continuous service improvement. Key Skills Required: - Minimum of 10 years of IT service delivery experience, including at least 5 years managing cloud environments (AWS, GCP, Azure, or other platforms). - Hands-on experience in monitoring, troubleshooting, and optimizing cloud environments across multiple regions. - Proficiency in cloud security, compliance frameworks, and automation tools. - Demonstrated ability to lead global teams, manage vendors, and collaborate across multiple geographies. Key Responsibilities: - Lead and manage service delivery across AWS, GCP, and other cloud platforms. - Implement and oversee ITIL-based service management processes, including Incident, Problem, Change, and Release Management across global cloud operations. - Establish and enforce Service Level Agreements (SLAs) and Key Performance Indicators (KPIs) to maintain cloud service excellence. - Manage Data Centre Operations. - Oversee global cloud environments using tools like AWS CloudWatch, AWS Config, GCP Cloud Monitoring, Stackdriver, and third-party monitoring solutions. - Utilize auto-scaling, automation, and cloud-native tools such as AWS Auto Scaling, AWS Lambda, GCP Cloud Functions, and Kubernetes (GKE/EKS). - Identify and mitigate cloud security risks, operational vulnerabilities, and global compliance challenges. - Align with AWS Well-Architected Framework, Google Cloud Architecture Framework, and industry best practices. - Drive continuous service improvement by leveraging emerging cloud technologies, AI/ML-driven automation, and cost-optimization strategies. Qualifications: - Professional cloud certifications (e.g., AWS Solutions Architect, Google Cloud Professional Cloud Architect) are highly desired but not mandatory. - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - Minimum of 10 years of IT service delivery experience, with at least 5 years managing cloud environments (AWS, GCP, Azure, or other platforms). Location: Hyderabad Experience: 10-15 years,

As a Google Cloud DevOps Engineer specializing in Terraform and CI/CD Pipeline, you will play a crucial role in provisioning GCP resources based on architectural designs that align with business objectives. Your responsibilities will include monitoring resource availability and usage metrics to provide guidelines for cost and performance optimization. You will be expected to assist IT and business users in resolving GCP service-related issues and provide guidance on cluster automation and migration approaches. Additionally, your role will involve provisioning GCP resources for data engineering and data science projects, including automated data ingestion, migration, and transformation. Key Responsibilities: - Building complex CI/CD pipelines for cloud-native PaaS services on Google Cloud Platform - Developing deployment pipelines using Github CI (Actions) - Creating Terraform scripts for infrastructure deployment - Working on deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run - Utilizing Cloud Build, Cloud Composer, and Dataflow for various tasks - Configuring software for monitoring with Appdynamics and stackdriver logging in GCP - Setting up dashboards using tools like Splunk, Kibana, Prometheus, and Grafana Skills, Experience, and Qualifications: - Total of 5+ years of experience in DevOps, with a minimum of 4 years in Google Cloud and Github CI - Strong background in Microservices/API and DevOps tools like Github CI, TeamCity, Jenkins, and Helm - Proficiency in deployment and testing strategies for applications in Google Cloud Platform - Experience in defining development, test, release, update, and support processes for DevOps operations - Familiarity with Java and knowledge of Kafka, ZooKeeper, Hazelcast, Pub/Sub - Understanding of cloud networking, security, identity access, and compute runtime - Proficiency in managing databases such as Oracle, Cloud SQL, and Cloud Spanner - Excellent troubleshooting skills and working knowledge of open-source technologies - Awareness of Agile principles and experience in Agile/SCRUM environments - Comfortable with Agile team management tools like JIRA and Confluence - Strong communication skills and the ability to work in self-organized teams - Certification in Google Professional Cloud DevOps Engineer is desirable If you possess a proactive attitude, a strong team spirit, and a desire to continuously improve and innovate in the field of DevOps on Google Cloud Platform, we welcome you to join our dynamic team.,

As a Performance Engineer, you will be responsible for ensuring the optimal performance of web applications by utilizing your skills and experience in Performance Engineering. Your proficiency in testing methodologies such as soak, spike, and load testing will be essential in identifying performance bottlenecks and providing recommendations for optimization. Additionally, you will be required to have a strong understanding of front-end web performance best practices and be able to analyze performance metrics to make informed decisions. Your expertise in Java programming is crucial for this role, as you will be working with load testing tools like JMeter and conducting performance analysis using tools like Application Dynamics, Splunk, and StackDriver. Experience with Cloud technologies and an understanding of cloud architectures will also be beneficial in this role. In addition to your technical skills, you must have experience working with ticketing systems like Jira in an Agile development environment. Your knowledge of SQL, RDBMS, and NoSQL Database technologies will be essential for data analysis and troubleshooting performance issues. Furthermore, you should be a strong problem solver, capable of analyzing performance issues and providing effective solutions at both software and hardware levels. Your experience in .NFR gathering, workload modeling, and test plan preparation will be valuable in ensuring the performance optimization of web applications. Candidates with additional experience in GCP, Kubernetes, performance optimization of balancers, networks, operating systems, JMH framework, SQL optimization, performance testing of mobile applications, capacity planning, and CI/CD tools like Jenkins and GIT will be given preference. If you are passionate about optimizing the performance of web applications and have a strong background in Performance Engineering, we encourage you to apply for this position.,

Monitoring: Prometheus, Grafana, Stackdriver, Splunk - Incident Management: PagerDuty, Opsgenie, VictorOps - Performance Testing: JMeter, Gatling, LoadRunner - Logging and Analysis: ELK Stack (Elasticsearch, Logstash, Kibana) - Automation Tools: Terraform, Ansible, Kubernetes Operators - Cloud: GCP (Monitoring, Logging, Compute Engine, Cloud Functions) - Scripting: Python, Go, Bash

Monitoring: Prometheus, Grafana, Stackdriver, Splunk - Incident Management: PagerDuty, Opsgenie, VictorOps - Performance Testing: JMeter, Gatling, LoadRunner - Logging and Analysis: ELK Stack (Elasticsearch, Logstash, Kibana) - Automation Tools: Terraform, Ansible, Kubernetes Operators - Cloud: GCP (Monitoring, Logging, Compute Engine, Cloud Functions) - Scripting: Python, Go, Bash

Monitoring: Prometheus, Grafana, Stackdriver, Splunk - Incident Management: PagerDuty, Opsgenie, VictorOps - Performance Testing: JMeter, Gatling, LoadRunner - Logging and Analysis: ELK Stack (Elasticsearch, Logstash, Kibana) - Automation Tools: Terraform, Ansible, Kubernetes Operators - Cloud: GCP (Monitoring, Logging, Compute Engine, Cloud Functions) - Scripting: Python, Go, Bash

Monitoring: Prometheus, Grafana, Stackdriver, Splunk - Incident Management: PagerDuty, Opsgenie, VictorOps - Performance Testing: JMeter, Gatling, LoadRunner - Logging and Analysis: ELK Stack (Elasticsearch, Logstash, Kibana) - Automation Tools: Terraform, Ansible, Kubernetes Operators - Cloud: GCP (Monitoring, Logging, Compute Engine, Cloud Functions) - Scripting: Python, Go, Bash

Monitoring: Prometheus, Grafana, Stackdriver, Splunk - Incident Management: PagerDuty, Opsgenie, VictorOps - Performance Testing: JMeter, Gatling, LoadRunner - Logging and Analysis: ELK Stack (Elasticsearch, Logstash, Kibana) - Automation Tools: Terraform, Ansible, Kubernetes Operators - Cloud: GCP (Monitoring, Logging, Compute Engine, Cloud Functions) - Scripting: Python, Go, Bash

Monitoring: Prometheus, Grafana, Stackdriver, Splunk - Incident Management: PagerDuty, Opsgenie, VictorOps - Performance Testing: JMeter, Gatling, LoadRunner - Logging and Analysis: ELK Stack (Elasticsearch, Logstash, Kibana) - Automation Tools: Terraform, Ansible, Kubernetes Operators - Cloud: GCP (Monitoring, Logging, Compute Engine, Cloud Functions) - Scripting: Python, Go, Bash

You are a highly skilled GCP DevOps Engineer joining the Cloud Infrastructure team, responsible for designing, implementing, and managing scalable, secure, and reliable infrastructure on Google Cloud Platform (GCP). You will collaborate with development teams to streamline CI/CD processes, automate cloud operations, and support application deployments using modern DevOps practices. Your key responsibilities include designing, building, and managing cloud infrastructure and services in GCP. You will implement and maintain CI/CD pipelines using tools like Cloud Build, Jenkins, GitLab CI/CD, or GitHub Actions, and automate provisioning using Infrastructure as Code (IaC) tools such as Terraform, Deployment Manager, or Ansible. Monitoring system health, performance, and availability using GCP-native tools or third-party solutions, improving system reliability, automating incident response, and collaborating with developers to optimize applications for scalability and performance in cloud environments are crucial aspects of your role. Implementing security best practices, managing IAM policies and roles, managing containerized applications using Kubernetes (GKE) or other container orchestration platforms, and maintaining documentation related to architecture, configurations, and processes are also part of your responsibilities. You should possess a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience, with at least 5 years of DevOps or SRE experience and a focus of at least 3 years on GCP. Proficiency in using GCP services such as Compute Engine, Cloud Functions, GKE, Cloud SQL, BigQuery, Pub/Sub, Cloud Storage, and VPC networking is required. Strong experience with Terraform, Helm, or similar IaC and configuration management tools, hands-on experience with Docker and Kubernetes (preferably GKE), knowledge of Linux systems administration and scripting (Python, Bash, or Go), familiarity with CI/CD tools, and a solid understanding of networking concepts, DNS, load balancing, firewalls, and VPNs are essential. Experience with monitoring, logging, and alerting tools is also necessary. This is a full-time, permanent position that requires your physical presence at the Gurgaon location.,

What You'll Do: Design, develop, and deploy cloud-native applications on Google Cloud Platform (GCP). Build and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or Cloud Build. Implement infrastructure as code (IaC) using Terraform or Deployment Manager. Collaborate with architects, DevOps engineers, and other developers to deliver scalable cloud solutions. Set up monitoring, logging, and alerting with Stackdriver, Prometheus, or similar tools. Ensure applications are secure, reliable, and cost-efficient in the cloud environment. Support containerized workloads with Docker and Kubernetes (GKE). What We're Looking For: 3+ years of experience in software development with a focus on cloud-based architectures. Hands-on experience in Google Cloud Platform (GCP) App Engine, Cloud Functions, Cloud Run, GKE, etc. Solid understanding of DevOps principles and tools. Proficiency in Python, Go, or Java. Experience with CI/CD pipelines, IaC, containerization, and Kubernetes. Knowledge of monitoring, logging, and security practices in the cloud. GCP Certifications (e.g., Professional Cloud Developer or DevOps Engineer) are a big plus! Nice to Have: Experience with multi-cloud environments (Azure, AWS). Familiarity with microservices architecture and API management. Exposure to Agile/Scrum methodologies.

Key Responsibilities JOB DESCRIPTION Cloud Infrastructure Management Design, implement, and maintain cloud-based infrastructure on GCP. Monitor and optimize the performance, scalability, and reliability of the cloud environment. Networking Configure and manage virtual private cloud (VPC) networks, subnets, firewalls, and VPNs. Implement and maintain load balancers, cloud CDN, and hybrid connectivity solutions. Ensure secure and efficient network communication within GCP and with on-premises data centers. System Administration Manage and maintain cloud-based servers/applications, storage, and databases. Perform system updates, patches, and backups. Monitor system performance and troubleshoot issues as they arise. Security And Compliance Implement and enforce security best practices and compliance standards. Manage identity and access management (IAM) roles and permissions. Conduct regular security audits and vulnerability assessments. Automation And Scripting Develop and maintain automation scripts for deployment, configuration, and management tasks. Utilize Infrastructure as Code (IaC) tools such as Terraform or Cloud Deployment Manager. Documentation And Training Create and maintain comprehensive documentation for system configurations, processes, and procedures. Provide training and support to team members and stakeholders on GCP networking and system administration. Responsibilities Preferred Skills: Experience with hybrid cloud environments and multi-cloud strategies. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Familiarity with monitoring and logging tools such as Stackdriver, Prometheus, or Grafana. Strong communication and interpersonal skills. Qualifications QUALIFICATIONS Bachelor&aposs degree in Computer Science, Information Technology, or related field. Minimum of 5 years of experience in system administration with a focus on cloud platforms, preferably GCP. Extensive knowledge of GCP networking components and patterns, including VPCs, subnets, firewalls, VPNs, and load balancers etc. Proficiency in cloud automation and scripting languages such as Python, Bash, or PowerShell. Experience with Infrastructure as Code (IaC) tools like Terraform, Ansible, or Cloud Deployment Manager. Strong understanding of security best practices and compliance requirements. Excellent problem-solving skills and the ability to work independently and as part of a team. GCP certifications such as Professional Cloud Network Engineer or Professional Cloud Architect are highly desirable. About Us ABOUT US Bristlecone is the leading provider of AI-powered application transformation services for the connected supply chain. We empower our customers with speed, visibility, automation, and resiliency to thrive on change. Our transformative solutions in Digital Logistics, Cognitive Manufacturing, Autonomous Planning, Smart Procurement and Digitalization are positioned around key industry pillars and delivered through a comprehensive portfolio of services spanning digital strategy, design and build, and implementation across a range of technology platforms. Bristlecone is ranked among the top ten leaders in supply chain services by Gartner. We are headquartered in San Jose, California, with locations across North America, Europe and Asia, and over 2,500 consultants. Bristlecone is part of the $19.4 billion Mahindra Group. Equal Opportunity Employer Bristlecone is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status . Information Security Responsibilities Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System. Take part in information security training and act while handling information. Report all suspected security and policy breach to InfoSec team or appropriate authority (CISO). Understand and adhere to the additional information security responsibilities as part of the assigned job role. Show more Show less

This is done by providing fit-for-purpose tools, know-how and procedures while making sure that our base services are robust and available, As a Senior Site Reliability Engineer, you will design, manage and maintain infrastructure services over the course of their lifecycle You will be responsible for building and improving the performance, reliability, availability, security, and evolution of the Truecaller infrastructure, What You Bring In Extensive knowledge of system administration on Linux environments, preferably working on high throughput and low latency systems, Strong hands-on experience with GCP services (or transferable AWS/Azure skills) networking, IAM, compute, storage, Kubernetes (GKE/EKS/AKS), Extensive knowledge of Docker and Kubernetes, Excellent understanding of distributed system design across process and site boundaries, Hands-on experience with service orchestration, management, deployment activities, configuration management and all necessary automation, Strong grasp of process isolation and containerization concepts, being able to apply them when necessary, Container orchestration: Deep understanding of Kubernetes deploying, scaling, monitoring clusters, Monitoring & Observability: Experience with tools like Prometheus, Grafana, Stackdriver, Datadog, New Relic, erc Incident management: Practical experience responding to incidents, performing root cause analysis, and improving system reliability, Security best practices: Knowledge of cloud security, secrets management, and compliance basics, Good understanding of software development lifecycle, versioning, building, testing, staging and deployment processes with a strong continuous delivery mindset,

This is done by providing fit-for-purpose tools, know-how and procedures while making sure that our base services are robust and available, As a Senior Site Reliability Engineer, you will design, manage and maintain infrastructure services over the course of their lifecycle You will be responsible for building and improving the performance, reliability, availability, security, and evolution of the Truecaller infrastructure, What You Bring In Extensive knowledge of system administration on Linux environments, preferably working on high throughput and low latency systems, Strong hands-on experience with GCP services (or transferable AWS/Azure skills) networking, IAM, compute, storage, Kubernetes (GKE/EKS/AKS), Extensive knowledge of Docker and Kubernetes, Excellent understanding of distributed system design across process and site boundaries, Hands-on experience with service orchestration, management, deployment activities, configuration management and all necessary automation, Strong grasp of process isolation and containerization concepts, being able to apply them when necessary, Container orchestration: Deep understanding of Kubernetes deploying, scaling, monitoring clusters, Monitoring & Observability: Experience with tools like Prometheus, Grafana, Stackdriver, Datadog, New Relic, erc Incident management: Practical experience responding to incidents, performing root cause analysis, and improving system reliability, Security best practices: Knowledge of cloud security, secrets management, and compliance basics, Good understanding of software development lifecycle, versioning, building, testing, staging and deployment processes with a strong continuous delivery mindset,

As a Solution Architect & Technical Lead at RebusCode, you will play a crucial role in driving the design and architecture of our Big Data Analytics solutions within the Market Research industry. Your responsibilities will include providing technical leadership, ensuring governance, documenting solutions, and sharing knowledge effectively. Moreover, you will be actively involved in project management and ensuring timely delivery of projects. To excel in this role, you should have a minimum of 5 years of experience in software development, out of which at least 2 years should be in architecture or technical leadership positions. A proven track record of delivering enterprise-grade, cloud-native SaaS applications on Azure and/or GCP is essential for this role. Your technical skills should encompass a wide range of areas including Cloud & Infrastructure (Azure App Services, Functions, Kubernetes; GKE, Cloud Functions; Service Bus, Pub/Sub; Blob Storage, Cloud Storage; Key Vault, Secret Manager; CDN), Development Stack (C#/.NET 6/7/8, ASP.NET Core Web API, Docker, container orchestration), Data & Integration (SQL Server, Oracle, Cosmos DB, Spanner, BigQuery, ETL patterns, message-based integration), CI/CD & IaC (Azure DevOps, Cloud Build, GitHub Actions; ARM/Bicep, Terraform; container registries, automated testing), Security & Compliance (TLS/SSL certificate management, API gateway policies, encryption standards), and Monitoring & Performance (Azure Application Insights, Log Analytics, Stackdriver, performance profiling, load testing tools). Nice-to-have qualifications include certifications such as Azure Solutions Architect Expert, Google Professional Cloud Architect, PMP or PMI-ACP. Familiarity with front-end frameworks like Angular and React, as well as API client SDK generation, would be an added advantage. Prior experience in building low-code/no-code integration platforms or automation engines is also beneficial. Exposure to alternative clouds like AWS or on-prem virtualization platforms like VMware and OpenShift will be a plus. Join us at RebusCode, where you will have the opportunity to work on cutting-edge Big Data Analytics solutions and contribute to the growth and success of our market research offerings.,

As a GCP DevOps Lead, you will be responsible for leading the architecture and infrastructure strategy using Google Cloud Platform (GCP). Your role will involve designing, implementing, and managing CI/CD pipelines, infrastructure as code, and deployment automation to ensure high availability, scalability, and performance of cloud environments. You will guide a team of DevOps engineers in daily operations and project execution, while also implementing and maintaining monitoring, logging, and alerting frameworks such as Stackdriver, Prometheus, and Grafana. Driving security best practices, collaborating with cross-functional teams, and optimizing cost, resource usage, and performance in GCP will be key aspects of your responsibilities. The ideal candidate should possess 7+ years of total experience in DevOps, Cloud, or Infrastructure roles, with at least 3 years of hands-on experience with Google Cloud Platform (GCP). Strong skills in CI/CD tools like Jenkins, GitLab CI/CD, or Cloud Build, along with proficiency in Docker and Kubernetes (GKE) are essential. Experience with Terraform, Ansible, or Deployment Manager, source control systems like Git and Bitbucket, scripting languages such as Python, Bash, or Go, and knowledge of networking components and monitoring tools are also required. Understanding DevSecOps practices and security compliance standards will be beneficial in this role.,

As a Cloud Engineer at AVP level in Bangalore, India, you will be responsible for designing, implementing, and managing cloud infrastructure and services on Google Cloud Platform (GCP). Your key responsibilities will include designing, deploying, and managing scalable, secure, and cost-effective cloud environments on GCP, developing Infrastructure as Code (IaC) using tools like Terraform, ensuring security best practices, IAM policies, and compliance with organizational and regulatory standards, configuring and managing VPCs, subnets, firewalls, VPNs, and interconnects for secure cloud networking, setting up CI/CD pipelines for automated deployments, implementing monitoring and alerting using tools like Stackdriver, optimizing cloud spending, designing disaster recovery and backup strategies, deploying and managing GCP databases, and managing containerized applications using GKE and Cloud Run. You will be part of the Platform Engineering Team, which is responsible for building and maintaining foundational infrastructure, tooling, and automation to enable efficient, secure, and scalable software development and deployment. The team focuses on creating a self-service platform for developers and operational teams, ensuring reliability, security, and compliance while improving developer productivity. To excel in this role, you should have strong experience with GCP services, proficiency in scripting and Infrastructure as Code, knowledge of DevOps practices and CI/CD tools, understanding of security, IAM, networking, and compliance in cloud environments, experience with monitoring tools, strong problem-solving skills, and Google Cloud certifications would be a plus. You will receive training, development, coaching, and support to help you excel in your career, along with a culture of continuous learning and a range of flexible benefits tailored to suit your needs. The company strives for a positive, fair, and inclusive work environment where employees are empowered to excel together every day. For further information about the company and its teams, please visit the company website: https://www.db.com/company/company.htm. The Deutsche Bank Group welcomes applications from all individuals and promotes a culture of shared successes and collaboration.,

You have 5+ years of overall experience in Cloud Operations, with a minimum of 5 years of hands-on experience with Google Cloud Platform (GCP) and at least 3 years of experience in Kubernetes administration. It is mandatory to have GCP Certified Professional certification. In this role, you will be responsible for managing and monitoring GCP infrastructure resources to ensure optimal performance, availability, and security. You will also administer Kubernetes clusters, handle deployment, scaling, upgrades, patching, and troubleshooting. Automation for provisioning, scaling, and monitoring using tools like Terraform, Helm, or similar will be implemented and maintained by you. Your key responsibilities will include responding to incidents, performing root cause analysis, and resolving issues within SLAs. Configuring logging, monitoring, and alerting solutions across GCP and Kubernetes environments will also be part of your duties. Supporting CI/CD pipelines, integrating Kubernetes deployments with DevOps processes, and maintaining detailed documentation of processes, configurations, and runbooks are critical aspects of this role. Collaboration with Development, Security, and Architecture teams to ensure compliance and best practices is essential. You will participate in an on-call rotation and respond promptly to critical alerts. The required skills and qualifications for this position include being a GCP Certified Professional (Cloud Architect, Cloud Engineer, or equivalent) with a strong working knowledge of GCP services such as Compute Engine, GKE, Cloud Storage, IAM, VPC, and Cloud Monitoring. Solid experience in Kubernetes cluster administration, proficiency with Infrastructure as Code tools like Terraform, knowledge of containerization concepts and tools like Docker, experience in monitoring and observability with tools like Prometheus, Grafana, and Stackdriver, familiarity with incident management and ITIL processes, ability to work in 24x7 operations with rotating shifts, and strong troubleshooting and problem-solving skills. Preferred skills that would be nice to have for this role include experience supporting multi-cloud environments, scripting skills in Python, Bash, Go, exposure to other cloud platforms like AWS and Azure, and familiarity with security controls and compliance frameworks.,

Key Responsibilities: Manage and administer complex multi-cloud environments (AWS, GCP, Azure). Monitor infrastructure performance and troubleshoot complex issues at the L3 level. Design and implement automation scripts using tools like Terraform, Ansible, CloudFormation, or Bicep. Optimize cloud cost, performance, and security in line with best practices. Support deployment and maintenance of production, development, and staging environments. Collaborate with DevOps, Networking, and Security teams to ensure seamless operations. Implement and monitor backup, disaster recovery, and high-availability strategies. Conduct root cause analysis (RCA) for critical incidents and service disruptions. Stay updated with evolving cloud technologies and recommend improvements. Participate in 24x7 on-call rotation for critical incident support. Technical Skills: Cloud Platforms: Deep expertise in AWS, GCP, and Azure services (EC2, VPC, IAM, S3, AKS, GKE, App Services, etc.) Infrastructure as Code (IaC): Hands-on with Terraform, Ansible, ARM Templates, CloudFormation. Scripting: Strong in PowerShell, Python, or Bash scripting. CI/CD Pipelines: Experience with Jenkins, GitHub Actions, Azure DevOps, or similar tools. Monitoring Tools: Proficient in tools like CloudWatch, Azure Monitor, Stackdriver, Prometheus, Grafana. Security & Governance: Knowledge of IAM, RBAC, security groups, policies, and compliance. Containers & Orchestration: Familiarity with Kubernetes, Docker, AKS, GKE, EKS. Certifications (Preferred): AWS Certified SysOps Administrator / Solutions Architect Associate or Professional Microsoft Certified: Azure Administrator Associate or Architect Expert Google Associate Cloud Engineer or Professional Cloud Architect

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. Desired/Preferred Skills: Responsibilities: 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

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. Desired/Preferred Skills: Responsibilities: 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

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. Desired/Preferred Skills: Responsibilities: 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

Job Description: We are seeking a skilled and proactive GCP Cloud Engineer with 3 5 years of hands on experience in managing and optimizing cloud infrastructure using Google Cloud Platform GCP The ideal candidate will be responsible for designing deploying and maintaining secure and scalable cloud environments collaborating with cross functional teams and driving automation and reliability across our cloud infrastructure Key Responsibilities: Design and implement cloud native solutions on Google Cloud Platform Deploy and manage infrastructure using Terraform Cloud Deployment Manager or similar IaC tools Manage GCP services such as Compute Engine GKE Kubernetes Cloud Storage Pub Sub Cloud Functions BigQuery etc Optimize cloud performance cost and scalability Ensure security best practices and compliance across the GCP environment Monitor and troubleshoot issues using Stackdriver Cloud Monitoring Collaborate with development DevOps and security teams Automate workflows CI CD pipelines using tools like Jenkins GitLab CI or Cloud Build Technical Requirements: 3 5 years of hands on experience with GCP Strong expertise in Terraform GCP networking and cloud security Proficient in container orchestration using Kubernetes GKE Experience with CI CD DevOps practices and shell scripting or Python Good understanding of IAM VPC firewall rules and service accounts Familiarity with monitoring logging tools like Stackdriver or Prometheus Strong problem solving and troubleshooting skills Additional Responsibilities: GCP Professional certification e g Professional Cloud Architect Cloud Engineer Experience with hybrid cloud or multi cloud architecture Exposure to other cloud platforms AWS Azure is a plus Strong communication and teamwork skills Preferred Skills: Cloud Platform ->Google Cloud Platform Developer->GCP/ Google Cloud,Java,Java->Springboot,.Net,Python

We are currently seeking a Google Kubernetes Engine Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Title / Role: GCP & GKE Staff Engineer NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Engineering Lead Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Description: Primary Skill: Cloud-Infrastructure-Google Cloud Platform Minimum work experience: 8+ yrs Total Experience: 8+ Years Must have GCP Solution Architect Certification & GKE 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 Compute Engine , Compute Engine Managed Instance Groups , Kubernetes Cloud Storage , Cloud Storage for Firebase , Persistant Disk , Local SSD , Filestore , Transfer Service Virtual Private Network (VPC), Cloud DNS , Cloud Interconnect , Cloud VPN Gateway , Network Load Balancing , Global load balancing , Firewall rules , Cloud Armor Cloud IAM , Resource Manager , Multi-factor Authentication , Cloud KMS Cloud Billing , Cloud Console , Stackdriver Cloud SQL, Cloud Spanner SQL, Cloud Bigtable Cloud Run Container services, Kubernetes Engine (GKE) , Anthos Service Mesh , Cloud Functions , PowerShell on GCP Solid understanding and experience in cloud computing based services architecture, technical design and implementations including IaaS, PaaS, and SaaS. Design of clients Cloud environments with a focus on mainly on GCP and demonstrate Technical Cloud Architectural knowledge. Playing a vital role in the design of production, staging, QA and development Cloud Infrastructures running in 24x7 environments. Delivery of customer Cloud Strategies, aligned with customers business objectives and with a focus on Cloud Migrations and DR strategies Nurture Cloud computing expertise internally and externally to drive Cloud Adoption Should have a deep understanding of IaaS and PaaS services offered on cloud platforms and understand how to use them together to build complex solutions. Ensure that all cloud solutions follow security and compliance controls, including data sovereignty. Deliver cloud platform architecture documents detailing the vision for how GCP infrastructure and platform services support the overall application architecture, interaction with application, database and testing teams for providing a holistic view to the customer. Collaborate with application architects and DevOps to modernize infrastructure as a service (IaaS) applications to Platform as a Service (PaaS) Create solutions that support a DevOps approach for delivery and operations of services Interact with and advise business representatives of the application regarding functional and non-functional requirements Create proof-of-concepts to demonstrate viability of solutions under consideration Develop enterprise level conceptual solutions and sponsor consensus/approval for global applications. Have a working knowledge of other architecture disciplines including application, database, infrastructure, and enterprise architecture. Identify and implement best practices, tools and standards Provide consultative support to the DevOps team for production incidents Drive and support system reliability, availability, scale, and performance activities Evangelizes cloud automation and be a thought leader and expert defining standards for building and maintaining cloud platforms. Knowledgeable about Configuration management such as Chef/Puppet/Ansible. Automation skills using CLI scripting in any language (bash, perl, python, ruby, etc) Ability to develop a robust design to meet customer business requirement with scalability, availability, performance and cost effectiveness using GCP offerings Ability to identify and gather requirements to define an architectural solution which can be successfully built and operate on GCP Ability to conclude high level and low level design for the GCP platform which may also include data center design as necessary Capabilities to provide GCP operations and deployment guidance and best practices throughout the lifecycle of a project Understanding the significance of the different metrics for monitoring, their threshold values and should be able to take necessary corrective measures based on the thresholds Knowledge on automation to reduce the number of incidents or the repetitive incidents are preferred Good knowledge on the cloud center operation, monitoring tools, backup solution GKE Set up monitoring and logging to troubleshoot a cluster, or debug a containerized application. Manage Kubernetes Objects Declarative and imperative paradigms for interacting with the Kubernetes API. Managing Secrets Managing confidential settings data using Secrets. Configure load balancing, port forwarding, or setup firewall or DNS configurations to access applications in a cluster. Configure networking for your cluster. Hands-on experience with terraform. Ability to write reusable terraform modules. Hands-on Python and Unix shell scripting is required. understanding of CI/CD Pipelines in a globally distributed environment using Git, Artifactory, Jenkins, Docker registry. Experience with GCP Services and writing cloud functions. Hands-on experience deploying and managing Kubernetes infrastructure with Terraform Enterprise. Ability to write reusable terraform modules. Certified Kubernetes Administrator (CKA) and/or Certified Kubernetes Application Developer (CKAD) is a plus Experience using Docker within container orchestration platforms such as GKE. Knowledge of setting up splunk Knowledge of Spark in GKE Certification: GCP solution architect & GKE 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: Excellent communication skill and capability to work directly with global customers Strong technical leadership skill to drive solutions Focused on quality/cost/time of deliverables 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 Good reporting skill Willing to work in different time zones as per project requirement Good attitude to work in team and as individual contributor based on the project and situation Focused, result oriented and self-motivating