63 Linkerd Jobs - Page 3

Position Summary: As "Infra Admin DevOps", you should be a professional skilled in both infrastructure maintenance and DevOps practices, which includes automation, CI/CD, and cloud technologies. Should focus on ensuring a reliable and scalable infrastructure while also streamlining software development and deployment processes. Key Responsibilities and Skills: Infrastructure Management: Building, maintaining, and managing the physical and virtual infrastructure (servers, networks, storage). DevOps Practices: Implementing automation tools, scripting, and DevOps methodologies to streamline software development and deployment. Cloud Computing: Working with cloud platforms (AWS, Azure, GCP) for provisioning, scaling, and managing resources. CI/CD: Setting up and managing Continuous Integration and Continuous Deployment pipelines. Automation: Automating tasks like server provisioning, configuration management, and deployment. Infrastructure as Code (IaC): Using tools to define and manage infrastructure as code. Scripting and Programming: Proficiency in scripting languages like Python, Bash, or Groovy. Monitoring and Logging: Setting up and maintaining infrastructure monitoring and logging systems. Troubleshooting: Identifying and resolving issues within the infrastructure and software deployment process. Collaboration: Working closely with developers, testers, and other DevOps team members. Design, implement, and maintain containerized applications using Kubernetes, ensuring scalability, high availability, and fault tolerance. Develop, deploy, and manage cloud infrastructure on AWS and Azure using infrastructure-as-code tools such as Terraform or CloudFormation, and configuration management tools like Ansible or Chef. Implement and manage CI/CD pipelines using tools such as Jenkins, GitLab CI, or CircleCI, ensuring automated build, test, and deployment processes. Monitor and analyze application and system performance, identifying potential bottlenecks and implementing solutions to optimize resource utilization and system efficiency. Collaborate with cross-functional teams to identify, troubleshoot, and resolve production issues, ensuring minimal downtime and optimal application performance. Develop and maintain documentation for system architecture, design, and operational procedures. Continuously evaluate and adopt new tools, technologies, and best practices to improve the efficiency and reliability of our infrastructure and development process. Participate in on-call rotation to ensure 24/7 system availability and provide support for production incidents. In essence, an Infra Admin DevOps professional ensures that the underlying infrastructure is robust and scalable while also enabling the rapid and reliable delivery of software, making them a vital part of any modern software development team. Skills & Education: Bachelor's degree in computer science, Engineering, or a related field. 6+ years of experience in a DevOps or similar role, with a strong focus on Kubernetes, AWS, and Azure. Strong knowledge of scripting languages such as Python, Bash, or PowerShell. Proficiency in implementing and managing CI/CD pipelines using tools such as Jenkins, GitLab CI, or CircleCI. Experience with infrastructure-as-code (IAC) and configuration management tools, such as Terraform, CloudFormation, Ansible, or Chef. Strong understanding of networking, security, and monitoring concepts in cloud environments. Excellent problem-solving, analytical, and communication skills. Ability to work effectively in a fast-paced, collaborative environment. Desirable: Relevant certifications, such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or Certified Kubernetes Administrator (CKA). Experience with other cloud platforms, such as Google Cloud Platform (GCP) or IBM Cloud. Hands-on experience with infrastructure-as-code (IAC) and configuration management tools, such as Terraform, CloudFormation, Ansible, or Chef. Working knowledge with container security and best practices. Experience with service mesh technologies, such as Istio or Linkerd. Requirements Bachelor's degree in computer science, Engineering, or a related field. 6+ years of experience in a DevOps or similar role, with a strong focus on Kubernetes, AWS, and Azure. Strong knowledge of scripting languages such as Python, Bash, or PowerShell. Proficiency in implementing and managing CI/CD pipelines using tools such as Jenkins, GitLab CI, or CircleCI. Experience with infrastructure-as-code (IAC) and configuration management tools, such as Terraform, CloudFormation, Ansible, or Chef. Strong understanding of networking, security, and monitoring concepts in cloud environments. Excellent problem-solving, analytical, and communication skills. Ability to work effectively in a fast-paced, collaborative environment. Show more Show less

Thiruvananthapuram Office, AEDGE AICC India Pvt Ltd About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About the role We are looking for a highly experienced, collaborative, and detail-oriented Senior Engineer to join our growing Edge team. You will be responsible for the design, automation, optimization, and operation of our Kubernetes-based platform supporting our Galleon mobile data centers and Commander cloud integration. This is a critical role where you will leverage deep technical expertise in cloud infrastructure and Kubernetes while valuing mentorship, collaboration, and open communication. You will work on building and managing resilient, secure, and scalable Kubernetes environments across diverse edge locations and cloud infrastructure, ensuring the reliability of our distributed computing platform. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Architect, design, deploy, configure, and manage highly available Kubernetes clusters across edge (Galleon data centers) and cloud (AWS, Azure, GCP) environments. This includes designing the cluster layout, resource allocation, and storage configurations Administer, maintain, and monitor the health, performance, and capacity of Kubernetes clusters and underlying infrastructure Implement and manage Kubernetes networking solutions (CNI plugins, Ingress controllers) and storage solutions (PV/PVC, Storage Classes, CSI drivers) Maintain and monitor containerized platform services running within the clusters and robust monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) Drive Infrastructure-as-Code (IaC) initiatives using tools like Terraform, Ansible, Helm, and potentially Kubernetes Operators, promoting automation, repeatability, and reliability Support and troubleshoot complex issues related to the Kubernetes platform, containerized services, networking, and infrastructure Implement and enforce Kubernetes security best practices (RBAC, Network Policies, Secrets Management, Security Contexts, Image Scanning) Automate cluster operations, deployment pipelines (CI/CD integration), and infrastructure provisioning using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) Optimize Kubernetes clusters for performance, scalability, and resource utilization, particularly in edge environments Develop and maintain comprehensive documentation for cluster architecture, configurations, operational procedures, and runbooks Work in collaboration with software engineering, DevOps, security teams, and product managers to ensure seamless integration, deployment, and secure operation of applications on Kubernetes Evaluate and integrate new technologies from the Kubernetes ecosystem Contribute to the operational excellence of the platform, including participating in on-call rotations, incident management, and building self-healing capabilities Required Qualifications Bachelor's degree in computer science, Engineering, Information Technology, a related technical field, or equivalent practical experience At least 7+ years of professional experience in infrastructure engineering, systems administration, or software development, with a strong focus (4+ years preferred) on building and maintaining production Kubernetes environments At least 3+ years of professional experience using and administering Linux operating systems Deep understanding of Kubernetes architecture, core components, operational best practices, and lifecycle management Strong experience with containerization technologies (Docker) Hands-on experience managing Kubernetes on at least one major cloud provider (AWS, Azure, GCP) Strong understanding and proven experience with Infrastructure as Code (IaC) solutions, particularly Terraform and/or Ansible Proficiency in scripting languages (e.g., Python, Bash) for automation Experience configuring and managing monitoring/logging tools (e.g., Prometheus, Grafana, ELK Stack) Solid understanding of Linux operating system, networking fundamentals (TCP/IP, DNS, Load Balancing, Firewalls, VPNs) and container networking (CNI) Strong understanding of Kubernetes security concepts and implementation (RBAC, Network Policies, Secrets) Ability to work independently and collaborate effectively with others to debug and solve problems Preferred Experience and Skills Experience with Red Hat OpenShift Container Platform (version 4+ is a plus) Experience deploying and maintaining CI/CD solutions for DevSecOps, such as GitLab CI or Jenkins Strong development experience using Docker, docker-compose, and/or Kubernetes Experience developing Ansible playbooks for process automation Kubernetes certifications (CKA, CKS) Experience with Kubernetes operators and Custom Resource Definitions (CRDs) Experience with service mesh technologies like Istio or Linkerd Experience managing Kubernetes in edge computing or resource-constrained environments Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. #LI-JV1 #LI-Onsite You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

Hyderabad, Telangana, India Category: Information Technology Hire Type: Employee Job ID 9330 Date posted 02/24/2025 We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are a forward-thinking Cloud DevOps Engineer with a passion for modernizing infrastructure and enhancing the capabilities of CI/CD pipelines, containerization strategies, and hybrid cloud deployments. You thrive in environments where you can leverage your expertise in cloud infrastructure, distributed processing workloads, and AI-driven automation. Your collaborative spirit drives you to work closely with development, data, and GenAI teams to build resilient, scalable, and intelligent DevOps solutions. You are adept at integrating cutting-edge technologies and best practices to enhance both traditional and AI-driven workloads. Your proactive approach and problem-solving skills make you an invaluable asset to any team. What You’ll Be Doing: Designing, implementing, and optimizing CI/CD pipelines for cloud and hybrid environments. Integrating AI-driven pipeline automation for self-healing deployments and predictive troubleshooting. Leveraging GitOps (ArgoCD, Flux, Tekton) for declarative infrastructure management. Implementing progressive delivery strategies (Canary, Blue-Green, Feature Flags). Containerizing applications using Docker & Kubernetes (EKS, AKS, GKE, OpenShift, or on-prem clusters). Optimizing service orchestration and networking with service meshes (Istio, Linkerd, Consul). Implementing AI-enhanced observability for containerized services using AIOps-based monitoring. Automating provisioning with Terraform, CloudFormation, Pulumi, or CDK. Supporting and optimizing distributed computing workloads, including Apache Spark, Flink, or Ray. Using GenAI-driven copilots for DevOps automation, including scripting, deployment verification, and infra recommendations. The Impact You Will Have: Enhancing the efficiency and reliability of CI/CD pipelines and deployments. Driving the adoption of AI-driven automation to reduce downtime and improve system resilience. Enabling seamless application portability across on-prem and cloud environments. Implementing advanced observability solutions to proactively detect and resolve issues. Optimizing resource allocation and job scheduling for distributed processing workloads. Contributing to the development of intelligent DevOps solutions that support both traditional and AI-driven workloads. What You’ll Need: 5+ years of experience in DevOps, Cloud Engineering, or SRE. Hands-on expertise with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Tekton, etc.). Strong experience with Kubernetes, container orchestration, and service meshes. Proficiency in Terraform, CloudFormation, Pulumi, or Infrastructure as Code (IaC) tools. Experience working in hybrid cloud environments (AWS, Azure, GCP, on-prem). Strong scripting skills in Python, Bash, or Go. Knowledge of distributed data processing frameworks (Spark, Flink, Ray, or similar). Who You Are: You are a collaborative and innovative professional with a strong technical background and a passion for continuous learning. You excel in problem-solving and thrive in dynamic environments where you can your expertise to drive significant improvements. Your excellent communication skills enable you to work effectively with diverse teams, and your commitment to excellence ensures that you consistently deliver high-quality results. The Team You’ll Be A Part Of: You will join a dynamic team focused on optimizing cloud infrastructure and enhancing workloads to contribute to overall operational efficiency. This team is dedicated to driving the modernization and optimization of Infrastructure CI/CD pipelines and hybrid cloud deployments, ensuring that Synopsys remains at the forefront of technological innovation. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Experience : 4.00 + years Salary : USD 2962 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Hybrid AI) What do you need for this opportunity? Must have skills required: air-gapped Kubernetes, compliance enforcement, Hybrid cloud, Service Mesh, Zero Trust, Datacentre/ bare metal infrastructure, GPU / CPU optimization, Large Language Models (LLMs), OpenShift, VMware, Kubernetes Hybrid AI is Looking for: Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market by experienced software industry executives, addresses the critical challenges CIOs face in navigating the rapidly evolving AI & IT landscape. Join us at HybridAI and be part of a team that is shaping the future of AI infrastructure with innovation, expertise, and a commitment to excellence. Location : Remote Experience : 4-5 years Type : 3 months contract Role Overview: We are looking for a hands-on Infrastructure Engineer with deep expertise in VMware and OpenShift Kubernetes, combined with a proven track record of GPU and CPU optimization for high-performance workloads. The ideal candidate should have experience in deploying large language models (LLMs) on GPU-accelerated infrastructure, managing GPU allocation and tuning, and implementing Operators in OpenShift environments. The candidate should have a strong understanding of infrastructure security, with practical knowledge of ISO 27001 compliance, and a passion for working in fast-paced startup environments. The right candidate is both a builder and optimizer—comfortable getting deep into systems while aligning performance, security, and compliance goals.This role will report into the Direactor of AI and Software Engineering. Key Responsibilities: Create and manage development (Dev), UAT, and production (Prod) environments on bare metal and Red Hat Linux-based servers. Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability Assessment & Penetration Testing). Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes clusters. Ensure high availability, observability, and proactive alerting for the HybridAI SaaS platform. Automate deployment of the HybridAI InfraMetrics Collector in customer on- prem environments. Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources and automate deployments and provide guidance on VM Optimizations. Enable build cycles with expertise on virtualization, container orchestration, and hybrid infrastructure. Deploy LLMs on GPU infrastructure ensuring optimal resource allocation and scaling for AI-driven applications. Monitor infrastructure performance and implement proactive scaling solutions. Collaborate with Head of Software Engineering to enforce API security, access control, and compliance policies. Implement secure and compliant infrastructure aligned with ISO 27001 standards. Experience: 4+ years of hands-on DevOps and infrastructure engineering experience managing enterprise-grade datacenter environments. Strong experience with Red Hat Linux and bare metal infrastructure management. Expertise in Linux security hardening (firewall configuration, SELinux, system patching). Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration. Hands-on experience in CPU/GPU profiling, resource allocation, and performance tuning Experience with infrastructure as code (Terraform, Ansible) Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift & Linux-based deployments. Hands-on experience with VMware stack (ESXi, vCenter, vMotion) Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud platforms. Scripting and automation expertise (Bash, Python, Powershell). Strong security background, including API security, authentication (OAuth, JWT, mTLS), and compliance with CIS benchmarks. Experience with any of observability and monitoring tools, including: ⁠NVIDIA DCGM, Prometheus & Grafana, ⁠ELK Stack, ⁠DataDog, Splunk, or AppDynamics Solid experience in ISO 27001 compliance, security best practices, and policy implementation Comfortable working in agile, very fast-paced startup environments with ownership of infra outcomes Nice-to-Have Skills Experience with service mesh architectures (Istio, Linkerd). Familiarity with Zero Trust security models. Exposure to air-gapped Kubernetes deployments for security-sensitive environments. Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security). Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on-prem and cloud). Hands-on experience with HashiCorp Vault for secrets management. Exposure to additional compliance frameworks such as SOC 2 or NIST Experience with AI/ML or HPC workloads beyond LLM applications How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 2962 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Hybrid AI) What do you need for this opportunity? Must have skills required: air-gapped Kubernetes, compliance enforcement, Hybrid cloud, Service Mesh, Zero Trust, Datacentre/ bare metal infrastructure, GPU / CPU optimization, Large Language Models (LLMs), OpenShift, VMware, Kubernetes Hybrid AI is Looking for: Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market by experienced software industry executives, addresses the critical challenges CIOs face in navigating the rapidly evolving AI & IT landscape. Join us at HybridAI and be part of a team that is shaping the future of AI infrastructure with innovation, expertise, and a commitment to excellence. Location : Remote Experience : 4-5 years Type : 3 months contract Role Overview: We are looking for a hands-on Infrastructure Engineer with deep expertise in VMware and OpenShift Kubernetes, combined with a proven track record of GPU and CPU optimization for high-performance workloads. The ideal candidate should have experience in deploying large language models (LLMs) on GPU-accelerated infrastructure, managing GPU allocation and tuning, and implementing Operators in OpenShift environments. The candidate should have a strong understanding of infrastructure security, with practical knowledge of ISO 27001 compliance, and a passion for working in fast-paced startup environments. The right candidate is both a builder and optimizer—comfortable getting deep into systems while aligning performance, security, and compliance goals.This role will report into the Direactor of AI and Software Engineering. Key Responsibilities: Create and manage development (Dev), UAT, and production (Prod) environments on bare metal and Red Hat Linux-based servers. Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability Assessment & Penetration Testing). Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes clusters. Ensure high availability, observability, and proactive alerting for the HybridAI SaaS platform. Automate deployment of the HybridAI InfraMetrics Collector in customer on- prem environments. Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources and automate deployments and provide guidance on VM Optimizations. Enable build cycles with expertise on virtualization, container orchestration, and hybrid infrastructure. Deploy LLMs on GPU infrastructure ensuring optimal resource allocation and scaling for AI-driven applications. Monitor infrastructure performance and implement proactive scaling solutions. Collaborate with Head of Software Engineering to enforce API security, access control, and compliance policies. Implement secure and compliant infrastructure aligned with ISO 27001 standards. Experience: 4+ years of hands-on DevOps and infrastructure engineering experience managing enterprise-grade datacenter environments. Strong experience with Red Hat Linux and bare metal infrastructure management. Expertise in Linux security hardening (firewall configuration, SELinux, system patching). Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration. Hands-on experience in CPU/GPU profiling, resource allocation, and performance tuning Experience with infrastructure as code (Terraform, Ansible) Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift & Linux-based deployments. Hands-on experience with VMware stack (ESXi, vCenter, vMotion) Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud platforms. Scripting and automation expertise (Bash, Python, Powershell). Strong security background, including API security, authentication (OAuth, JWT, mTLS), and compliance with CIS benchmarks. Experience with any of observability and monitoring tools, including: ⁠NVIDIA DCGM, Prometheus & Grafana, ⁠ELK Stack, ⁠DataDog, Splunk, or AppDynamics Solid experience in ISO 27001 compliance, security best practices, and policy implementation Comfortable working in agile, very fast-paced startup environments with ownership of infra outcomes Nice-to-Have Skills Experience with service mesh architectures (Istio, Linkerd). Familiarity with Zero Trust security models. Exposure to air-gapped Kubernetes deployments for security-sensitive environments. Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security). Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on-prem and cloud). Hands-on experience with HashiCorp Vault for secrets management. Exposure to additional compliance frameworks such as SOC 2 or NIST Experience with AI/ML or HPC workloads beyond LLM applications How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 2962 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Hybrid AI) What do you need for this opportunity? Must have skills required: air-gapped Kubernetes, compliance enforcement, Hybrid cloud, Service Mesh, Zero Trust, Datacentre/ bare metal infrastructure, GPU / CPU optimization, Large Language Models (LLMs), OpenShift, VMware, Kubernetes Hybrid AI is Looking for: Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market by experienced software industry executives, addresses the critical challenges CIOs face in navigating the rapidly evolving AI & IT landscape. Join us at HybridAI and be part of a team that is shaping the future of AI infrastructure with innovation, expertise, and a commitment to excellence. Location : Remote Experience : 4-5 years Type : 3 months contract Role Overview: We are looking for a hands-on Infrastructure Engineer with deep expertise in VMware and OpenShift Kubernetes, combined with a proven track record of GPU and CPU optimization for high-performance workloads. The ideal candidate should have experience in deploying large language models (LLMs) on GPU-accelerated infrastructure, managing GPU allocation and tuning, and implementing Operators in OpenShift environments. The candidate should have a strong understanding of infrastructure security, with practical knowledge of ISO 27001 compliance, and a passion for working in fast-paced startup environments. The right candidate is both a builder and optimizer—comfortable getting deep into systems while aligning performance, security, and compliance goals.This role will report into the Direactor of AI and Software Engineering. Key Responsibilities: Create and manage development (Dev), UAT, and production (Prod) environments on bare metal and Red Hat Linux-based servers. Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability Assessment & Penetration Testing). Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes clusters. Ensure high availability, observability, and proactive alerting for the HybridAI SaaS platform. Automate deployment of the HybridAI InfraMetrics Collector in customer on- prem environments. Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources and automate deployments and provide guidance on VM Optimizations. Enable build cycles with expertise on virtualization, container orchestration, and hybrid infrastructure. Deploy LLMs on GPU infrastructure ensuring optimal resource allocation and scaling for AI-driven applications. Monitor infrastructure performance and implement proactive scaling solutions. Collaborate with Head of Software Engineering to enforce API security, access control, and compliance policies. Implement secure and compliant infrastructure aligned with ISO 27001 standards. Experience: 4+ years of hands-on DevOps and infrastructure engineering experience managing enterprise-grade datacenter environments. Strong experience with Red Hat Linux and bare metal infrastructure management. Expertise in Linux security hardening (firewall configuration, SELinux, system patching). Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration. Hands-on experience in CPU/GPU profiling, resource allocation, and performance tuning Experience with infrastructure as code (Terraform, Ansible) Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift & Linux-based deployments. Hands-on experience with VMware stack (ESXi, vCenter, vMotion) Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud platforms. Scripting and automation expertise (Bash, Python, Powershell). Strong security background, including API security, authentication (OAuth, JWT, mTLS), and compliance with CIS benchmarks. Experience with any of observability and monitoring tools, including: ⁠NVIDIA DCGM, Prometheus & Grafana, ⁠ELK Stack, ⁠DataDog, Splunk, or AppDynamics Solid experience in ISO 27001 compliance, security best practices, and policy implementation Comfortable working in agile, very fast-paced startup environments with ownership of infra outcomes Nice-to-Have Skills Experience with service mesh architectures (Istio, Linkerd). Familiarity with Zero Trust security models. Exposure to air-gapped Kubernetes deployments for security-sensitive environments. Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security). Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on-prem and cloud). Hands-on experience with HashiCorp Vault for secrets management. Exposure to additional compliance frameworks such as SOC 2 or NIST Experience with AI/ML or HPC workloads beyond LLM applications How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 2962 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Hybrid AI) What do you need for this opportunity? Must have skills required: air-gapped Kubernetes, compliance enforcement, Hybrid cloud, Service Mesh, Zero Trust, Datacentre/ bare metal infrastructure, GPU / CPU optimization, Large Language Models (LLMs), OpenShift, VMware, Kubernetes Hybrid AI is Looking for: Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market by experienced software industry executives, addresses the critical challenges CIOs face in navigating the rapidly evolving AI & IT landscape. Join us at HybridAI and be part of a team that is shaping the future of AI infrastructure with innovation, expertise, and a commitment to excellence. Location : Remote Experience : 4-5 years Type : 3 months contract Role Overview: We are looking for a hands-on Infrastructure Engineer with deep expertise in VMware and OpenShift Kubernetes, combined with a proven track record of GPU and CPU optimization for high-performance workloads. The ideal candidate should have experience in deploying large language models (LLMs) on GPU-accelerated infrastructure, managing GPU allocation and tuning, and implementing Operators in OpenShift environments. The candidate should have a strong understanding of infrastructure security, with practical knowledge of ISO 27001 compliance, and a passion for working in fast-paced startup environments. The right candidate is both a builder and optimizer—comfortable getting deep into systems while aligning performance, security, and compliance goals.This role will report into the Direactor of AI and Software Engineering. Key Responsibilities: Create and manage development (Dev), UAT, and production (Prod) environments on bare metal and Red Hat Linux-based servers. Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability Assessment & Penetration Testing). Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes clusters. Ensure high availability, observability, and proactive alerting for the HybridAI SaaS platform. Automate deployment of the HybridAI InfraMetrics Collector in customer on- prem environments. Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources and automate deployments and provide guidance on VM Optimizations. Enable build cycles with expertise on virtualization, container orchestration, and hybrid infrastructure. Deploy LLMs on GPU infrastructure ensuring optimal resource allocation and scaling for AI-driven applications. Monitor infrastructure performance and implement proactive scaling solutions. Collaborate with Head of Software Engineering to enforce API security, access control, and compliance policies. Implement secure and compliant infrastructure aligned with ISO 27001 standards. Experience: 4+ years of hands-on DevOps and infrastructure engineering experience managing enterprise-grade datacenter environments. Strong experience with Red Hat Linux and bare metal infrastructure management. Expertise in Linux security hardening (firewall configuration, SELinux, system patching). Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration. Hands-on experience in CPU/GPU profiling, resource allocation, and performance tuning Experience with infrastructure as code (Terraform, Ansible) Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift & Linux-based deployments. Hands-on experience with VMware stack (ESXi, vCenter, vMotion) Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud platforms. Scripting and automation expertise (Bash, Python, Powershell). Strong security background, including API security, authentication (OAuth, JWT, mTLS), and compliance with CIS benchmarks. Experience with any of observability and monitoring tools, including: ⁠NVIDIA DCGM, Prometheus & Grafana, ⁠ELK Stack, ⁠DataDog, Splunk, or AppDynamics Solid experience in ISO 27001 compliance, security best practices, and policy implementation Comfortable working in agile, very fast-paced startup environments with ownership of infra outcomes Nice-to-Have Skills Experience with service mesh architectures (Istio, Linkerd). Familiarity with Zero Trust security models. Exposure to air-gapped Kubernetes deployments for security-sensitive environments. Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security). Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on-prem and cloud). Hands-on experience with HashiCorp Vault for secrets management. Exposure to additional compliance frameworks such as SOC 2 or NIST Experience with AI/ML or HPC workloads beyond LLM applications How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 2962 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Hybrid AI) What do you need for this opportunity? Must have skills required: air-gapped Kubernetes, compliance enforcement, Hybrid cloud, Service Mesh, Zero Trust, Datacentre/ bare metal infrastructure, GPU / CPU optimization, Large Language Models (LLMs), OpenShift, VMware, Kubernetes Hybrid AI is Looking for: Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market by experienced software industry executives, addresses the critical challenges CIOs face in navigating the rapidly evolving AI & IT landscape. Join us at HybridAI and be part of a team that is shaping the future of AI infrastructure with innovation, expertise, and a commitment to excellence. Location : Remote Experience : 4-5 years Type : 3 months contract Role Overview: We are looking for a hands-on Infrastructure Engineer with deep expertise in VMware and OpenShift Kubernetes, combined with a proven track record of GPU and CPU optimization for high-performance workloads. The ideal candidate should have experience in deploying large language models (LLMs) on GPU-accelerated infrastructure, managing GPU allocation and tuning, and implementing Operators in OpenShift environments. The candidate should have a strong understanding of infrastructure security, with practical knowledge of ISO 27001 compliance, and a passion for working in fast-paced startup environments. The right candidate is both a builder and optimizer—comfortable getting deep into systems while aligning performance, security, and compliance goals.This role will report into the Direactor of AI and Software Engineering. Key Responsibilities: Create and manage development (Dev), UAT, and production (Prod) environments on bare metal and Red Hat Linux-based servers. Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability Assessment & Penetration Testing). Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes clusters. Ensure high availability, observability, and proactive alerting for the HybridAI SaaS platform. Automate deployment of the HybridAI InfraMetrics Collector in customer on- prem environments. Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources and automate deployments and provide guidance on VM Optimizations. Enable build cycles with expertise on virtualization, container orchestration, and hybrid infrastructure. Deploy LLMs on GPU infrastructure ensuring optimal resource allocation and scaling for AI-driven applications. Monitor infrastructure performance and implement proactive scaling solutions. Collaborate with Head of Software Engineering to enforce API security, access control, and compliance policies. Implement secure and compliant infrastructure aligned with ISO 27001 standards. Experience: 4+ years of hands-on DevOps and infrastructure engineering experience managing enterprise-grade datacenter environments. Strong experience with Red Hat Linux and bare metal infrastructure management. Expertise in Linux security hardening (firewall configuration, SELinux, system patching). Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration. Hands-on experience in CPU/GPU profiling, resource allocation, and performance tuning Experience with infrastructure as code (Terraform, Ansible) Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift & Linux-based deployments. Hands-on experience with VMware stack (ESXi, vCenter, vMotion) Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud platforms. Scripting and automation expertise (Bash, Python, Powershell). Strong security background, including API security, authentication (OAuth, JWT, mTLS), and compliance with CIS benchmarks. Experience with any of observability and monitoring tools, including: ⁠NVIDIA DCGM, Prometheus & Grafana, ⁠ELK Stack, ⁠DataDog, Splunk, or AppDynamics Solid experience in ISO 27001 compliance, security best practices, and policy implementation Comfortable working in agile, very fast-paced startup environments with ownership of infra outcomes Nice-to-Have Skills Experience with service mesh architectures (Istio, Linkerd). Familiarity with Zero Trust security models. Exposure to air-gapped Kubernetes deployments for security-sensitive environments. Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security). Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on-prem and cloud). Hands-on experience with HashiCorp Vault for secrets management. Exposure to additional compliance frameworks such as SOC 2 or NIST Experience with AI/ML or HPC workloads beyond LLM applications How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Role: Senior Site Reliability Engineer (SSE III) Responsibilities: Define and enforce SLOs, SLIs, and error budgets across microservices Architect an observability stack (metrics, logs, traces) and drive operational insights Automate toil and manual ops with robust tooling and runbooks Own incident response lifecycle: detection, triage, RCA, and postmortems Collaborate with product teams to build fault-tolerant systems Champion performance tuning, capacity planning, and scalability testing Optimise costs while maintaining the reliability of cloud infrastructure Must-have skills 6+ years in SRE/Infrastructure/Backend related roles using Cloud Native Technologies 2+ years in SRE-specific capacity Strong experience with monitoring/observability tools (Datadog, Prometheus, Grafana, ELK etc.) Experience with infrastructure-as-code (Terraform/Ansible) Proficiency in Kubernetes, service mesh (Istio/Linkerd), and container orchestration Deep understanding of distributed systems, networking, and failure domains Expertise in automation with Python, Bash, or Go Proficient in incident management, SLAs/SLOs, and system tuning Hands-on experience with GCP(preferred)/AWS/Azure and cloud cost optimisation Participation in on-call rotations and running large-scale production systems Nice to have skills: Familiarity with chaos engineering practices and tools (Gremlin, Litmus) Background in performance testing and load simulation (Gatling, Locust, k6, JMeter) Why us? You will be working with a lean team of passionate and talented individuals. We know that working with like-minded people is important. We are on a mission to supercharge brick-and-mortar retail stores in the era of e-commerce. Our customers give us confidence in our journey, and you will have a huge impact with your wor.k You will be free to experiment and can choose to do things differently. Lastly, we deeply care about a culture of being a solver. Come, be one with us! Equal opportunity employer Grey Orange Inc. is an equal employment opportunity employer. The company’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, veteran status, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Grey Orange also prohibits harassment of applicants or employees based on any of these protected categories. Show more Show less

Dear All, We’re Looking for Sr. Devops Tech Lead! Exciting opportunities await #ImmediateJoiners at our client office in Bangalore, Trivandrum, and Kochi. If you’re ready to take the next big step in your career, we’d love to hear from you! 📩 Send your resume or refer a friend to resumes@betterbeans.in and be a part of something better. Experience - 8+ YearsLocation – BLR/TVM/KOCNotice period – 30 Days (Immediate preferred)Salary- As per the industry standard 8+ years of experience in DevOps, hybrid cloud, and on-prem infrastructure automation.Expertise in Azure, or GCP is must, as well as on-premise infrastructure management.Strong experience with Kubernetes, Docker, Terraform, Helm .Proficiency in Terraform, Ansible, or CloudFormation for infrastructure automation.Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or similar.Experience in monitoring, logging, and performance tuning of cloud and on-prem applications.Strong knowledge of Linux, Windows Server, networking, and security best practices.Hands-on experience with SRE principles (SLIs, SLOs, error budgets).Proficiency in scripting with Python, Bash, or Powershell.Strong problem-solving skills and ability to work in hybrid infrastructure environments.Experience leading a DevOps team or cross-functional projects.Strong understanding of networking, security, and server management.Excellent problem-solving skills and the ability to troubleshoot complex issues.Strong communication and teamwork abilities. Good To Have:Certifications in Microsoft Azure or Google Cloud.Knowledge of Service Mesh (Istio, Linkerd) and API gateways.Exposure to AI/ML pipelines and MLOps. Qualification: Bachelor’s degree in Computer Science, Information Technology, or a related field.

Role: Senior Site Reliability Engineer (SSE III) Responsibilities: Define and enforce SLOs, SLIs, and error budgets across microservicesArchitect an observability stack (metrics, logs, traces) and drive operational insightsAutomate toil and manual ops with robust tooling and runbooksOwn incident response lifecycle: detection, triage, RCA, and postmortemsCollaborate with product teams to build fault-tolerant systemsChampion performance tuning, capacity planning, and scalability testingOptimise costs while maintaining the reliability of cloud infrastructure Must-have skills 6+ years in SRE/Infrastructure/Backend related roles using Cloud Native Technologies2+ years in SRE-specific capacityStrong experience with monitoring/observability tools (Datadog, Prometheus, Grafana, ELK etc.)Experience with infrastructure-as-code (Terraform/Ansible)Proficiency in Kubernetes, service mesh (Istio/Linkerd), and container orchestrationDeep understanding of distributed systems, networking, and failure domainsExpertise in automation with Python, Bash, or GoProficient in incident management, SLAs/SLOs, and system tuningHands-on experience with GCP(preferred)/AWS/Azure and cloud cost optimisationParticipation in on-call rotations and running large-scale production systems Nice to have skills: Familiarity with chaos engineering practices and tools (Gremlin, Litmus)Background in performance testing and load simulation (Gatling, Locust, k6, JMeter) Why us? You will be working with a lean team of passionate and talented individuals. We know that working with like-minded people is important. We are on a mission to supercharge brick-and-mortar retail stores in the era of e-commerce. Our customers give us confidence in our journey, and you will have a huge impact with your wor.k You will be free to experiment and can choose to do things differently.Lastly, we deeply care about a culture of being a solver. Come, be one with us! Equal opportunity employer Grey Orange Inc. is an equal employment opportunity employer. The company’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, veteran status, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Grey Orange also prohibits harassment of applicants or employees based on any of these protected categories.

We are seeking a highly skilled Senior DevSecOps/DevOps Engineer with extensive experience in cloud infrastructure, automation, and security best practices. The ideal candidate must have 5+ years of overall experience, with at least 3+ years of direct, hands-on Kubernetes management experience. The candidate must have strong expertise in building, managing, and optimizing Jenkins pipelines for CI/CD workflows, with a focus on incorporating DevSecOps practices into the pipeline.Key Responsibilities: Design, deploy, and maintain Kubernetes clusters in cloud and/or on-premises environments.Build and maintain Jenkins pipelines for CI/CD, ensuring secure, automated, and efficient delivery processes.Integrate security checks (static code analysis, image scanning, etc.) directly into Jenkins pipelines.Manage Infrastructure as Code (IaC) using Terraform, Helm, and similar tools.Develop, maintain, and secure containerized applications using Docker and Kubernetes best practices.Implement monitoring, logging, and alerting using Prometheus, Grafana, and the ELK/EFK stack.Implement Kubernetes security practices including RBAC, network policies, and secrets management.Lead incident response efforts, root cause analysis, and system hardening initiatives.Collaborate with developers and security teams to embed security early in the development lifecycle (Shift-Left Security).Research, recommend, and implement best practices for DevSecOps and Kubernetes operations.Required Skills and Qualifications: 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles.3+ years of hands-on Kubernetes experience, including cluster provisioning, scaling, and troubleshooting.Strong expertise in creating, optimizing, and managing Jenkins pipelines for end-to-end CI/CD.Experience in containerization and orchestration: Docker and Kubernetes.Solid experience with Terraform Helm, and other IaC tools.Experience securing Kubernetes clusters, containers, and cloud-native applications.Scripting proficiency (Bash, Python, or Golang preferred).Knowledge of service meshes (Istio, Linkerd) and Kubernetes ingress management.Hands-on experience with security scanning tools (e.g., Trivy, Anchore, Aqua, SonarQube) integrated into Jenkins.Strong understanding of IAM, RBAC, and secret management systems like Vault or AWS Secrets Manager.

Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive. This role is based in India and as such all normal working days must be carried out in India. Job Description Join us as a Software Engineer This is an opportunity for a driven Software Engineer to take on an exciting new career challenge Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority It’s a chance to hone your existing technical skills and advance your career We're offering this role as associate level What you'll do In your new role, you’ll engineer and maintain innovative, customer centric, high performance, secure and robust solutions. We are seeking a highly skilled and motivated AWS Cloud Engineer with deep expertise in Amazon EKS, Kubernetes, Docker, and Helm chart development. The ideal candidate will be responsible for designing, implementing, and maintaining scalable, secure, and resilient containerized applications in the cloud. You’ll also be: Design, deploy, and manage Kubernetes clusters using Amazon EKS. Develop and maintain Helm charts for deploying containerized applications. Build and manage Docker images and registries for microservices. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation). Monitor and troubleshoot Kubernetes workloads and cluster health. Support CI/CD pipelines for containerized applications. Collaborate with development and DevOps teams to ensure seamless application delivery. Ensure security best practices are followed in container orchestration and cloud environments. Optimize performance and cost of cloud infrastructure. The skills you'll need You’ll need a background in software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers. You'll need experience in Java full stack including Microservices, ReactJS, AWS, Spring, SpringBoot, SpringBatch, Pl/SQL, Oracle, PostgreSQL, Junit, Mockito, Cloud, REST API, API Gateway, Kafka and API development. You’ll also need: 3+ years of hands-on experience with AWS services, especially EKS, EC2, IAM, VPC, and CloudWatch. Strong expertise in Kubernetes architecture, networking, and resource management. Proficiency in Docker and container lifecycle management. Experience in writing and maintaining Helm charts for complex applications. Familiarity with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions. Solid understanding of Linux systems, shell scripting, and networking concepts. Experience with monitoring tools like Prometheus, Grafana, or Datadog. Knowledge of security practices in cloud and container environments. Preferred Qualifications: AWS Certified Solutions Architect or AWS Certified DevOps Engineer. Experience with service mesh technologies (e.g., Istio, Linkerd). Familiarity with GitOps practices and tools like ArgoCD or Flux. Experience with logging and observability tools (e.g., ELK stack, Fluentd). Show more Show less