65 Ckad Jobs - Page 3

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

As a DevOps Engineer at our company based in Delhi, you will play a crucial role in building and managing real infrastructure, focusing on AWS, Kubernetes, and Linux technologies. Your responsibilities will encompass a blend of technical expertise and managerial skills, requiring effective communication and coordination to ensure seamless integration of various functions and deliverables that meet customer satisfaction. You will be expected to demonstrate strong troubleshooting skills in AWS and Linux environments, hold certifications such as CKA or CKAD, and possess a solid understanding of DevOps practices. Additionally, your role will involve understanding customer requirements, implementing development and automation tools, and overseeing IT infrastructure. In terms of soft skills, you will be responsible for planning team structures, engaging in project management activities, promoting automation processes, selecting appropriate CI/CD tools, and providing mentorship to team members. Your ability to understand project KPIs and drive the team towards efficient and automated processes will be essential for success in this role. Joining our team will offer you the opportunity to make a real impact from day one, engage in hands-on work with production systems, and collaborate with a dynamic team that deeply understands DevOps and DevSecOps principles. If you are passionate about AWS, Kubernetes, and Linux, and are eager to contribute to impactful projects, we encourage you to apply or reach out to us directly. #DevOpsJobs #HiringNow #AWS #Kubernetes #Linux #TechHiring,

Guide the client on technology evaluation, technical thought leadership, requirement gathering and direction Design and document the detailed architecture and provide the walkthrough to the client directly Take a lead in preparing functional and technical specification documents Guide, and nurture the team members for successful delegation Lead project deliveries and engage with the Go-To-Market teams for pre-sales requirements Work closely with the business team to highlight and mitigate any risks to the projects proactively Maintain a rapport with client-partners, and manage their expectations and plan for engineering. Guide and help team members debug and solve technical problems. Lead engagements with multiple work-streams; prepare project plans and manage deliverables Review and perform code walkthrough for quality deliverables to the client Showcase thought leadership on technology roadmaps, agile development methodologies, and out-of-the-box thinking Requirements 8+ years of IT experience in the Infrastructure realm that includes detailed understanding of Cloud providers(GCP, AWS or Azure - added advantage to multi-Cloud experience) and their best practices, Networking, Compliances(HIPAA, GDPR, NIST), and Cloud services(serverless, server based) Detailed understanding and proven implementations for DevSecOps pipelines and culture, Containerization(Kubernetes, Docker), Service mesh(Envoy, Tanzu etc), Database modelling, and Operations(logging, monitoring, alerting) Thorough understanding of low-latency API architectures using either serverless or server based services Must have good understanding of following resources: Networking - Load balancing(HTTPS, TCP, SSL, etc), VPNs(BGP, IPSec), high-speed private connections(like Partner Interconnect, Express routes, etc) Security - Secrets management, IAM policies(Least privilege), Compliances, CMEK keys, safeguarding external API endpoints(using application firewalls or cloud security services) Setup of Cloud Foundations and Cloud best practices to help clients build their cloud footprints and adopt its management Precision to use the right Cloud services based on clients requirements Past architecture implementations on Kubernetes - pods, services, ingress(default and 3rd party like Nginx), service mesh(like Tanzu), best practices Basic experience with programming languages such as Python or Java or Golang Experienced in IaC(Terraform), Vaults, and scripting languages such as BASH, Shell or Powershell Implementation of processes within Clients environment, such as implementation of devops model for CICD, operations for visibility, etc Design, and prototype new solutions for smoother delivery, implement self-healing, and alerting capabilities for mission critical applications Proven ability to consume Clients DevOps tools(such as Jenkins, Cloud Build, Bamboo, Trevor, Sonarqube, checkmarx, artifactory etc) to build DevSecOps pipelines Must have some experience in Application, and Data migration projects either for onprem data centers to Cloud or between Cloud to Cloud Work along with Account leads and Business team to grow the account based on future possible use cases Well versed in identifying the right service and databases based on requirement(such as SQL NoSql, Redis, data warehousing) Strong Linux System experience with an appetite to troubleshoot and guide team towards resolution Experience with Multi-regional architecture setup and aware about known issues at compute, and database level Certifications are added advantage such as CKAD, CKS, GCP Associate / Security / Networking / DevOps , AWS, Azure, Terraform, etc

Responsibilities Own the cloud infrastructure and resources with attention to cost and resilience Lead initiatives to improve the monitoring and observability of platform, products, and cost. On-call support for incident management and disaster recovery. Lead the implementation and adoption of automation solutions for build, test, and deployment. Partner with the Engineering teams to improve our continuous integration and testing system. Lead initiatives and improvements to the tools and in-house frameworks. Experience and Competencies The following experience is expected to be successful in this role. Required 10+ years of experience in DevOps roles Proficient in managing infrastructure with cloud providers, preferably AWS. Proficient with declarative infrastructure and continuous delivery as code tools (Terraform, CloudFormation, Argos CD, Github Actions). Proficient in Linux administration and networking. Proficient evangelizing DevOps best practices to Engineering teams. Proficient in designing systems for High Availability, Disaster Recovery, Performance, Efficiency, and Security. Proficient programming in Python or shell. Proficient in at least one monitoring platform (DataDog desirable) Desirable AWS Certified SysOps Administrator and/or AWS Certified DevOps Engineer CKA, CKAD and CKS certification is a good to have Bachelors degree in Computer science or similar fields. We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in growth. We re honest about what s working and what isn t, and we never stop improving and innovating.

Responsibilities Own the cloud infrastructure and resources with attention to cost and resilience Lead initiatives to improve the monitoring and observability of platform, products, and cost. On-call support for incident management and disaster recovery. Lead the implementation and adoption of automation solutions for build, test, and deployment. Partner with the Engineering teams to improve our continuous integration and testing system. Lead initiatives and improvements to the tools and in-house frameworks. Experience and Competencies The following experience is expected to be successful in this role. Required 10+ years of experience in DevOps roles Proficient in managing infrastructure with cloud providers, preferably AWS. Proficient with declarative infrastructure and continuous delivery as code tools (Terraform, CloudFormation, Argos CD, Github Actions). Proficient in Linux administration and networking. Proficient evangelizing DevOps best practices to Engineering teams. Proficient in designing systems for High Availability, Disaster Recovery, Performance, Efficiency, and Security. Proficient programming in Python or shell. Proficient in at least one monitoring platform (DataDog desirable) Desirable AWS Certified SysOps Administrator and/or AWS Certified DevOps Engineer CKA, CKAD and CKS certification is a good to have Bachelors degree in Computer science or similar fields. We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in growth. We re honest about what s working and what isn t, and we never stop improving and innovating.

Job Title: GCP Cloud Engineer Total years of experience: 4 to 7 years Job Location: Pan India Notice period: Immediate to 30 Days Job Description: We are looking for a Cloud Engineer to join our team and work with our engineering team to optimize, implement, and maintain our clients Google and hybrid cloud-based landscape. A Cloud Engineer’s responsibilities include deploying and debugging systems, as well as executing new cloud initiatives. Other responsibilities can include monitoring, DR, security and compliance activities. Ultimately, you will work with different IT professionals and teams to ensure our cloud computing systems meet the needs of our organization and customers. Responsibilities: Design, develop, and deploy modular Google Cloud-based systems including Virtual Machine, K8s clusters, Cloud SQL, Shared VPC, IAM, Security Services and others. Develop, manage and improve GCP infrastructure using GCP CI/CD such as GitHub, CloudBuild, Ansible, Jenkins, CloudBuild. Develop and maintain cloud solutions in accordance with best practices using IaaC(Terraform). Ensure efficient functioning of data storage and process functions in accordance with company security policies and best practices in cloud security Identify, analyze, and resolve infrastructure vulnerabilities and application deployment issues Regularly review existing systems and make recommendations for improvements Interact with clients, provide cloud support, and make recommendations based on client needs Requirements and skills: Proven work experience as a Cloud Engineer or similar role with hands-on GCP. GCP, Hashicorp, and CKAD certifications preferred. Monitoring and analyzing infrastructure using services such as Cloud monitoring, Prometheus and Grafana. Migration and Enterprise Landing Zone setup experience using Migrate for Compute Engine and Terraform. Troubleshooting and analytical skills Strong communication and collaboration skills Client management skills to discuss systems as needed Relevant training and/or certifications as a Cloud Engineer

Position- Python Openstack (consultant) Exp- 5 to 8 years Location-Gurgaon Job Summary: We are seeking a skilled OpenStack and NFVI Engineer to design, implement, and manage cloud-based infrastructure solutions. The ideal candidate will have hands-on experience in deploying OpenStack environments and expertise in NFV, virtualization, and network functions. Key Responsibilities: Design, deploy, and maintain OpenStack-based private or hybrid cloud environments. Configure and optimize NFVI for high availability and performance to support VNFs (Virtualized Network Functions). Implement and manage virtualization technologies like KVM, VMware, or similar. Automate deployment, scaling, and maintenance using tools like Ansible, Terraform, or similar. Monitor and troubleshoot cloud infrastructure, ensuring minimal downtime and optimal performance. Collaborate with DevOps, network, and security teams to integrate OpenStack with CI/CD pipelines. Manage storage, compute, and network components of NFVI. Create documentation, including design specifications, operating procedures, and troubleshooting guides. Ensure compliance with industry standards for security and performance in NFVI environments. Required Skills and Qualifications: Technical Expertise: Strong experience with OpenStack architecture and services (Nova, Neutron, Cinder, Keystone, Glance, etc.). Knowledge of NFV architecture, ETSI standards, and VIM (Virtualized Infrastructure Manager). Hands-on experience with containerization platforms like Kubernetes or OpenShift. Familiarity with SDN (Software-Defined Networking) solutions such as OpenDaylight or Tungsten Fabric. Experience with Linux-based systems and scripting languages (Python, Bash, etc.). Understanding of networking protocols (e.g., VXLAN, BGP, OVS, SR-IOV). Knowledge of Ceph or other distributed storage solutions. Tools: Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack, etc.). Configuration management tools like Ansible, Puppet, or Chef. Proficiency in CI/CD tools (Jenkins, GitLab CI, etc.). Certifications (Preferred): OpenStack Certified Administrator (COA). Red Hat Certified Engineer (RHCE). VMware Certified Professional (VCP). Kubernetes certifications like CKA or CKAD. Soft Skills: Strong analytical and problem-solving skills. Excellent verbal and written communication. Ability to work collaboratively in a fast-paced environment.

Position Overview: The Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimizing costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh. Key Responsibilities: Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimized for production workloads, providing high resilience and operational efficiency. AWS Infrastructure Management: Build, manage, and optimize AWS cloud infrastructure, including EKS,ECS, S3, VPCs, RDS, IAM, and more. Implement best practices for cost management, scaling, and security within AWS. Helm Management: Utilize Helm to automate and streamline the deployment of applications and services to Kubernetes clusters. Create, maintain, and manage Helm charts for production-ready deployments. Karpenter Implementation: Implement and manage Karpenter to dynamically scale Kubernetes clusters in response to workload demands. Istio Service Mesh Management: Configure and manage Istio to provide service-to-service communication, security, and observability within the Kubernetes clusters. Enable fine-grained traffic management, service discovery, and policy enforcement. Platform Automation & Scaling: Automate the deployment, scaling, and management of infrastructure and applications. Work with CI/CD pipelines to ensure a seamless flow from development to production with minimal downtime. Incident Management & Troubleshooting: Respond to incidents, troubleshoot, and resolve system issues related to performance, availability, and security in a timely and effective manner. Security & Compliance: Design and implement secure cloud infrastructure with appropriate access controls, network security, and compliance frameworks. Documentation & Knowledge Sharing: Create and maintain detailed documentation for Kubernetes platform setup, operational procedures, and best practices. Promote knowledge sharing across teams. Required Qualifications: 3+ years of experience with Kubernetes/ K8s, Helm,Karpenter,Istio; 5+ years of Experience with infrastructure-as-code tools like Terraform , Chef or Ansible 5+ years of Experience with serverless computing (AWS Lambda, API Gateway) and microservices architecture. Experience with multi-region cloud environments. Proven experience with AWS (EC2, RDS, S3, CloudFormation, IAM, etc.) and solid understanding of cloud-native architectures. Strong expertise in Kubernetes platform creation , management, and optimization (e.g., setting up highly available clusters, networking, and storage). Hands-on experience with Helm for Kubernetes application deployment and management. Practical experience with Karpenter for dynamic scaling of Kubernetes clusters and optimizing resource usage.Expertise in managing and securing Istio for service mesh, including traffic management, security, and observability features. Proficiency in CI/CD pipelines and automation tools (e.g., Jenkins, GitLab, CircleCI, Terraform, Ansible, Spinnaker).Strong scripting and automation skills in Python , Bash , or Go for infrastructure management and platform automation. Experience with monitoring, logging, and alerting tools such as Prometheus , Grafana , CloudWatch , and ELK Stack . Preferred Qualifications: Understanding of security best practices for cloud platforms and Kubernetes (e.g., role-based access control (RBAC), encryption, and compliance frameworks). Familiarity with Docker and containerization principles. Bachelor s degree in Computer Science, Engineering, or related field (or equivalent professional experience). Certifications (Preferred): CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or AWS Certified DevOps Engineer are highly desirable.

What You ll Be Doing: Lead and implement secure, scalable Kubernetes clusters across on-prem, hybrid, and cloud environments. Integrate security throughout the cluster lifecycle (design to production) with network policies, RBAC, Pod Security Policies, and encryption. Work with development teams to enforce secure containerization practices and integrate security tools into CI/CD pipelines. Implement secure networking, service meshes (Istio, Linkerd), and implement mutual TLS for secure service-to-service communication. Secure CI/CD pipelines with automated security checks (code scanning, vulnerability assessments, configuration checks). Automate Kubernetes infrastructure provisioning with IaC tools (Terraform, CloudFormation, Ansible), embedding security best practices. Enhance automation workflows for patching, vulnerability assessments, and incident response. Implement observability strategies with Prometheus, Grafana, ELK Stack, and Loki for monitoring health, logging, performance, and security. Ensure security events are logged, monitored, and proactively mitigated. Participate in incident response, on-call rotations, root cause analysis, and post-incident reviews to refine security protocols. Define, document, and enforce Kubernetes security best practices and policies. What You ll Bring to the Role: Strong knowledge in Kubernetes, ECS, and migrating applications to cloud-native environments, ensuring security at every stage. Experience in designing secure identity management and access control solutions for Kubernetes, ECS, and cloud platforms. Experience in migrating legacy applications to Kubernetes and ECS, optimizing for security and scalability. Skilled in managing and securing cloud identities, roles, and implementing RBAC in Kubernetes and ECS. Extensive experience in securing and automating CI/CD pipelines with tools like Jenkins, GitLab CI, ArgoCD, and Spinnaker. Hands-on experience with container security using tools like Aqua Security, Twistlock, and runtime protection practices. In-depth understanding of service meshes like Istio and Linkerd, and securing communications with mutual TLS encryption. Expertise in using IaC tools like Terraform, CloudFormation, and Ansible for secure infrastructure automation. Skilled in using Prometheus, Grafana, and ELK Stack for real-time monitoring and proactive incident detection. Experience in managing incidents, troubleshooting, root cause analysis, and improving security protocols. Strong ability to collaborate with cross-functional teams and mentor junior engineers, promoting a security-first culture. Knowledge on secrets in Kubernetes using Vault, Secrets Manager, or Kubernetes Secrets. Experience & Qualifications: 5+ years of experience in managing large-scale, secure Kubernetes clusters, including architecture, security, and scalability. 5+ years of hands-on experience with ECS (Elastic Container Service) and migrating legacy monolithic applications to cloud-native environments (Kubernetes/ECS). 3+ years of experience in cloud security, including IAM (Identity and Access Management), role-based access control (RBAC), and secure identity management for cloud platforms and Kubernetes. 3+ years of experience in automating CI/CD pipelines using tools such as Spinnaker, Jenkins or ArgoCD with an emphasis on integrating security throughout the process. Strong knowledge of service mesh technologies (Istio, Linkerd) and secure networking practices in Kubernetes environments, including mutual TLS encryption. Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible, and the ability to automate infrastructure provisioning with a security-first approach. Proven experience in implementing monitoring and observability solutions with Prometheus, Grafana, Loki or similar tools to enhance security and detect incidents in real-time. Strong problem-solving skills with hands-on experience in incident management, troubleshooting, and conducting post-incident analysis. Excellent collaboration skills with experience working cross-functionally with security engineers, developers, and DevOps teams to enforce security best practices and policies. Bachelor s degree in Computer Science, Engineering, or a related field, or equivalent professional experience. Certifications (preferred): CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), AWS Certified DevOps Engineer, or equivalent certifications in cloud and security domains.

Key Responsibilities : - Lead Automation : Design and implement an automation framework to migrate workloads to Kubernetes platforms such as AWS EKS, Azure AKS, Google GKE, Oracle OKE, and OpenShift. - Develop Cloud-Native Automation Tools : Build automation tools using Go (Golang) for workload discovery, planning, and transformation into Kubernetes artifacts. - Migrate Kubernetes Across Cloud Providers : Plan and execute seamless migrations of Kubernetes workloads from one cloud provider to another (AWS - Azure, GCP - OCI, etc.) with minimal disruption. - Leverage Open-Source Technologies : Utilize Helm, Kustomize, ArgoCD, and other popular open-source frameworks to streamline cloud-native adoption. - CI/CD & DevOps Integration : Architect and implement CI/CD pipelines using Jenkins (including Jenkinsfile generation) and cloud-native tools like AWS CodePipeline, Azure DevOps, and GCP Cloud Build to support diverse Kubernetes deployments. - Security & Compliance : Define and enforce security best practices, implement zero-trust principles, and proactively address vulnerabilities in automation workflows. - Technical Leadership & Mentorship : Lead and mentor a team of developers, fostering expertise in Golang development, Kubernetes, and DevOps best practices. - Stakeholder Collaboration : Work closely with engineering, security, and cloud teams to align modernization and migration efforts with business goals and project timelines. - Performance & Scalability : Ensure high performance, scalability, and security across automation frameworks and multi-cloud Kubernetes deployments. - Continuous Innovation : Stay ahead of industry trends, integrating emerging tools and methodologies to enhance automation and Kubernetes portability. Qualifications & Experience : - Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience). - Experience : 8+ years in software development, DevOps, or cloud engineering, with 3+ years in a leadership role. - Programming Expertise : Strong proficiency in Go (Golang), Python for building automation frameworks and tools. - Kubernetes & Containers : Deep knowledge of Kubernetes (K8s), OpenShift, Docker, and container orchestration. - Cloud & DevOps : Hands-on experience with AWS, Azure, GCP, OCI, self-managed Kubernetes, OpenShift, and DevOps practices. - CI/CD & Infrastructure-as-Code : Strong background in CI/CD tools (Jenkins, Git, AWS CodePipeline, Azure DevOps, GCP Cloud Build) and Infrastructure-as-Code (IaC) with Terraform, Helm, or similar tools. - Kubernetes Migration Experience : Proven track record in migrating Kubernetes workloads between cloud providers, addressing networking, security, and data consistency challenges. - Security & Observability : Expertise in cloud-native security best practices, vulnerability remediation, and observability solutions. - Leadership & Communication : Proven ability to lead teams, manage projects, and collaborate with stakeholders across multiple domains. Preferred Skills & Certifications : - Experience in self-managed Kubernetes provisioning (e.g., kubeadm, Kubespray) and OpenShift customization (e.g., Operators). - Industry Certifications - CKA, CKAD, or cloud-specific credentials (e.g., AWS Certified DevOps Engineer). - Exposure to multi-cloud and hybrid cloud migration projects