Key Responsibilities Architect and design OpenStack-based private cloud solutions tailored to customer needs. Drive infrastructure design across compute, storage, and network components. Work with cross-functional teams to integrate OpenStack with existing or new platforms. Define and implement best practices for cloud infrastructure, including HA, scalability, and performance tuning. Collaborate with DevOps teams to align infrastructure automation with deployment pipelines. Lead customer engagements and translate business requirements into technical architectures. Ensure compliance, security, and resiliency standards are embedded in all solutions. Key Skills & Experience Minimum 8 years of experience in cloud and infrastructure architecture. Strong experience in OpenStack components : Nova, Neutron, Cinder, Glance, Swift, etc. Deep domain expertise in at least one of the following: Cloud Infrastructure : Compute orchestration, virtualization, HA design. Storage : Block/Object storage solutions (Ceph, Swift, etc.). Networking : SDN, virtual networks, overlay networks, Neutron plugins. Proficient in container technologies and orchestration (Kubernetes is a plus). Experience with tools like Ansible, Terraform, or other automation frameworks. Familiarity with Linux internals, scripting, and system performance monitoring. Strong problem-solving, documentation, and customer-facing skills.

Job Summary We are seeking an experienced GPU Programming Engineer to join our team. In this role, you will focus on developing, optimizing, and deploying GPU-accelerated solutions for high-performance machine learning workloads. The ideal candidate has strong expertise in GPU programming across one or more platforms (e.g., NVIDIA CUDA, AMD ROCm/HIP, or OpenCL) and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration. Key Responsibilities Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization. Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs. Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability. Work closely with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions. Required Qualifications Bachelor's or master's degree in computer science, Electrical Engineering, or a related field. 3+ years of hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs. Strong understanding of GPU architecture, memory hierarchy, and parallel programming models. Proficiency in C/C++ and hands-on experience developing on Linux-based systems. Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto. Preferred Qualifications Familiarity with cuDNN, TensorRT, OpenCL, or other GPU computing libraries.

Key Responsibilities: Architect and implement container orchestration solutions using Kubernetes in production-grade environments. Lead the design and integration of OpenStack with Kubernetes-based platforms. Collaborate with infrastructure, DevOps, and software teams to design cloud-native applications and CI/CD pipelines. Define architectural standards, best practices, and governance models for Kubernetes-based workloads. Assess current system architecture and recommend improvements or migrations to Kubernetes. Mentor and guide junior engineers and DevOps teams on Kubernetes and cloud-native tools. Troubleshoot complex infrastructure and containerization issues. Key Requirements: 8+ years of experience in IT architecture with at least 4 + years working on Kubernetes. Deep understanding of Kubernetes architecture (control plane, kubelet, etcd, CNI plugins, etc.) Strong hands-on experience with containerization technologies like Docker and container runtimes. Proven experience working with OpenStack and integrating it with container platforms. Solid knowledge of cloud infrastructure , networking , and persistent storage in Kubernetes. Familiarity with Helm , Istio , service mesh , and other cloud-native tools is a plus. Experience with CI/CD pipelines , infrastructure as code (e.g., Terraform), and GitOps practices. Excellent problem-solving skills and ability to work in fast-paced environments. Preferred Qualifications: Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) Experience with multiple cloud platforms (AWS, Azure, GCP, or private cloud) Background in networking or storage architecture is highly desirable.

Key Responsibilities : - Architect and implement container orchestration solutions using Kubernetes in production-grade environments. - Lead the design and integration of OpenStack with Kubernetes-based platforms. - Collaborate with infrastructure, DevOps, and software teams to design cloud-native applications and CI/CD pipelines. - Define architectural standards, best practices, and governance models for Kubernetes-based workloads. - Assess current system architecture and recommend improvements or migrations to Kubernetes. - Mentor and guide junior engineers and DevOps teams on Kubernetes and cloud-native tools. - Troubleshoot complex infrastructure and containerization issues. Key Requirements : - 8+ years of experience in IT architecture with at least 4+ years working on Kubernetes. - Deep understanding of Kubernetes architecture (control plane, kubelet, etcd, CNI plugins, etc.) - Strong hands-on experience with containerization technologies like Docker and container runtimes. - Proven experience working with OpenStack and integrating it with container platforms. - Solid knowledge of cloud infrastructure, networking, and persistent storage in Kubernetes. - Familiarity with Helm, Istio, service mesh, and other cloud-native tools is a plus. - Experience with CI/CD pipelines, infrastructure as code (e.g., Terraform), and GitOps practices. - Excellent problem-solving skills and ability to work in fast-paced environments. Preferred Qualifications : - Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) - Experience with multiple cloud platforms (AWS, Azure, GCP, or private cloud) - Background in networking or storage architecture is highly desirable.

Key Responsibilities - Architect and design OpenStack-based private cloud solutions tailored to customer needs. - Drive infrastructure design across compute, storage, and network components. - Work with cross-functional teams to integrate OpenStack with existing or new platforms. - Define and implement best practices for cloud infrastructure, including HA, scalability, and performance tuning. - Collaborate with DevOps teams to align infrastructure automation with deployment pipelines. - Lead customer engagements and translate business requirements into technical architectures. - Ensure compliance, security, and resiliency standards are embedded in all solutions. Key Skills & Experience - Minimum 8 years of experience in cloud and infrastructure architecture. - Strong experience in OpenStack components: Nova, Neutron, Cinder, Glance, Swift, etc. - Deep domain expertise in at least one of the following: - Cloud Infrastructure: Compute orchestration, virtualization, HA design. - Storage: Block/Object storage solutions (Ceph, Swift, etc.). - Networking: SDN, virtual networks, overlay networks, Neutron plugins. - Proficient in container technologies and orchestration (Kubernetes is a plus). - Experience with tools like Ansible, Terraform, or other automation frameworks. - Familiarity with Linux internals, scripting, and system performance monitoring. - Strong problem-solving, documentation, and customer-facing skills.