3 Dataintensive Applications Jobs

As a talented and motivated Senior Software Engineer at Growexx, you will be responsible for leading the design and development of scalable, high-performance software systems. Your role will involve driving architectural decisions, mentoring junior engineers, and contributing to the strategic direction of the technology stack to deliver impactful solutions that empower customers. You will lead the design, development, and deployment of core platform features and services, architect scalable and maintainable systems focusing on performance, security, and reliability. Collaborating with product, design, and data teams to translate business requirements into technical solutions will be a key aspect of your responsibilities. Additionally, you will mentor and support junior engineers through code reviews, pair programming, and knowledge sharing. Your expertise in data-intensive applications, analytics platforms, or AI/ML systems, familiarity with event-driven architectures and streaming technologies such as Kafka and Pulsar, and contributions to open-source projects or technical publications will be valuable. Proficiency in modern programming languages like Python, Go, TypeScript, or Java, along with experience in cloud-native architectures (AWS, Azure, or GCP), distributed systems, microservices, and API design will be essential. You should also have proven experience with CI/CD pipelines, containerization (Docker, Kubernetes), and DevOps practices. In terms of education and experience, a B.Tech, B.E., MCA, or BCA degree coupled with 5+ years of professional experience in Python development, particularly focusing on backend systems, is required. Excellent communication and leadership skills are also essential for this role. Analytical and personal skills that will be beneficial for this position include good logical reasoning, ability to break down big goals into small incremental actions, excellent communication and collaboration skills, ownership, accountability, attention to detail, self-criticism, and a positive and cheerful outlook in life.,

We are looking for a highly skilled HPC/GPU Operations Engineer with 6-10 years of experience to oversee the management, optimization, and maintenance of high-performance computing (HPC) infrastructure, specifically focusing on GPU-accelerated workloads. Your primary responsibilities will include ensuring the reliability, efficiency, and scalability of HPC systems used for scientific computing, AI/ML, and data-intensive applications. As an IC3 level professional, you will be tasked with the following responsibilities: - Managing and administering HPC clusters, GPU nodes, and high-speed interconnects. - Configuring GPU-accelerated workloads for AI/ML, scientific computing, and simulations. - Monitoring system performance, troubleshooting issues, and optimizing resource utilization. - Installing, configuring, and maintaining HPC-related software, libraries, and tools such as CUDA, OpenMP, and MPI. - Supporting containerized workflows using technologies like Docker and Singularity. - Ensuring software compatibility with GPU architectures from NVIDIA, AMD, and Intel. - Tuning GPU and CPU performance for specific workloads, including benchmarking and profiling. - Utilizing monitoring tools like Prometheus, Grafana, and Slurm to track system health and efficiency. - Optimizing scheduling and resource allocation in workload managers such as Slurm, PBS, and LSF. - Upholding system security and access control for HPC resources. - Applying software patches, firmware updates, and security best practices. - Assisting in regulatory compliance for HPC environments. - Providing support to researchers, data scientists, and engineers using HPC resources. - Developing and maintaining documentation on best practices, troubleshooting, and system usage. - Conducting training sessions or workshops on HPC/GPU computing. To qualify for this role, you should possess the following technical skills: - Experience in managing HPC clusters and GPU-based computing environments. - Proficiency in Linux system administration, scripting (Bash, Python), and automation (Ansible, Terraform). - Knowledge of parallel computing, GPU programming (CUDA, OpenCL), and HPC frameworks. - Familiarity with networking technologies such as Infiniband and RDMA, storage solutions like Lustre, GPFS, NFS, and virtualization. At Oracle, we are dedicated to leveraging cutting-edge technology to address current challenges while fostering an inclusive work environment that encourages innovation and collaboration. We offer a range of competitive benefits, flexible medical, life insurance, and retirement options, and support employee engagement in volunteer programs. We are committed to providing accessibility assistance or accommodation for individuals with disabilities throughout the employment process. If you require such assistance, please contact us via email at accommodation-request_mb@oracle.com or by phone at +1 888 404 2494 in the United States.,

As a core member of Periscope's technology team at McKinsey, you will play a vital role in developing and deploying enterprise products, ensuring the firm stays at the forefront of technology. Your responsibilities will include software development projects, focusing on building and improving deployment pipelines, automation, and toolsets for cloud-based solutions on AWS, GCP, and Azure platforms. You will also delve into database management, Kubernetes cluster setup, performance tuning, and continuous delivery domains. Your role will involve hands-on software development, spending approximately 80% of your time on tasks related to deployment pipelines and cloud-based solutions. You will continually expand your expertise by experimenting with new technologies, frameworks, and approaches independently. Additionally, your strong understanding of agile engineering practices will enable you to guide teams on enhancing their engineering processes. In this position, you will not only contribute to software development projects but also provide coaching and mentoring to other DevOps engineers to enhance the organizational capability. Your base will be in either Bangalore or Gurugram office as a member of Periscope's technology team within McKinsey. With Periscope being McKinsey's asset-based arm in the Marketing & Sales practice, your role signifies the firm's commitment to innovation and delivering exceptional client solutions. By combining consulting approaches with solutions, Periscope aims to provide actionable insights that drive revenue growth and optimize various aspects of commercial decision-making. The Periscope platform offers a unique blend of intellectual property, prescriptive analytics, and cloud-based tools to deliver over 25 solutions focused on insights and marketing. Your qualifications should include a Bachelor's or Master's degree in computer science or a related field, along with a minimum of 6 years of experience in technology solutions, particularly in microservices architectures and SaaS delivery models. You should demonstrate expertise in working with leading Cloud Providers such as AWS, GCP, and Azure, as well as proficiency in Linux systems and DevOps tools like Ansible, Terraform, Helm, Docker, and Kubernetes. Furthermore, your experience should cover areas such as load balancing, network security, API management, and supporting web front-end and data-intensive applications. Your problem-solving skills, systems design expertise in Python, and strong monitoring and troubleshooting abilities will be essential in contributing to development tasks and ensuring uninterrupted system operation. Your familiarity with automation practices and modern monitoring tools like Elastic, Sentry, and Grafana will also be valuable in upholding system quality attributes. Strong communication skills and the ability to collaborate effectively in a team environment are crucial for conveying technical decisions, fostering alignment, and thriving in high-pressure situations. Your role at Periscope By McKinsey will not only involve technical contributions but also leadership in enhancing the team's capabilities and driving continuous improvement in technology solutions.,