3 infrastructure systems engineer jobs found

Position: NetApp Experienced Technical Administrator / Engineer Job Description: About Arrow ECS: Arrow ECS provides IT professionals—including service providers, software publishers, and systems integrators—with cutting-edge global technological solutions. Our offerings span five key areas: Servers, Storage & Virtualization Networking & Security Infrastructure Software Cloud Solutions Training & Services As we continue to grow, we are strengthening our team and looking for a skilled  NetApp Experienced Technical Administrator / Engineer  to join us. Role Summary: The NetApp Technical Support Engineer 2, delivers proactive and preventive support for NetApp systems. This role requires a strong grasp of NetApp technologies and managed services, working closely with both internal support teams and our valued customers. We’re seeking a motivated professional who is passionate about IT services and eager to grow within our organization. Key...

Position: AWS DevOps Lead Job Description: As an AWS DevOps Tech Lead, candidate with minimum 8+ years of experience will be responsible for overseeing the design, implementation, and management of cloud infrastructure and CI/CD pipelines. Candidate will collaborate with cross-functional teams to enhance development processes and ensure the reliability, scalability, and security of our applications. Key Responsibilities: Lead the design and implementation of scalable AWS architectures. Manage CI/CD pipelines using tools like Jenkins, GitLab CI, or AWS CodePipeline. Automate deployment processes and infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation. Monitor and optimize system performance, reliability, and security. Mentor and guide team members on best practices in DevOps and AWS. Collaborate with development teams to ensure seamless integration and delivery of applications. Develop and maintain...

Position: Data Automation Engineer Job Description: As a Data Automation Engineer, you will play a crucial role in developing and maintaining automated data processing systems. You will work closely with data analysts, and other stakeholders to design, implement, and optimize data pipelines, ensuring the efficient and accurate flow of data throughout the organization. What You'll Do: Develop and implement automated data pipelines for ingesting, processing, and storing structured and unstructured data. Integrate data from various sources in both real-time and batch mechanisms and perform transformations to ensure consistency, accuracy, and reliability. Implement data quality checks and monitoring mechanisms to identify and address issues proactively. Write code and scripts for automation of data processes using languages such as Python, Java, or Scala. Leverage ETL (Extract, Transform, Load) tools and frameworks [Apache spark, AWS Glue] for efficient data processing....