Software engineer automation

About our client:Our client is a global services company providing technology, business process management, and transformation services to some of the leading global organisations.They have a proven track record of helping their clients identify and deliver significant bottom-line improvements using their expertise in finance, legal, HR, and information technology-related services. Their unique business engagement model is purpose-built to offer their client partners best-in-class service through dedicated resources such as people, technology, infrastructure, and top management support.Responsibilities:Solid command on any of the programming languages like Java, Python, C, C++. Create, maintain, and improve Ansible playbooks and other code that manage Linux-based high-performance compute (HPC) and artificial intelligence (AI) environments.Write well-formulated, highly readable code and supporting tests and documentation.Participate in team workflow: stand-ups, code reviews, design discussions, research, and report backs.Evaluate new business requirements and write technical specifications.Work within the team on continuous improvement: mentoring junior engineers, knowledge-sharing, and improving our internal processes.Partner with field engineers on troubleshooting and remediationKeep abreast of developments on the Infrastructure Management frontierRequirements:Bachelor’s degree in computer science/engineering or similar discipline or equivalent experienceDeep understanding experience in Software AutomationExperience with bare metal provisioning: PXE and kickstart.Experience with monitoring tools and strategies.Excellent understanding of Linux-based systems including system administrationDeep understanding and experience with configuration management tooling and processes like AnsibleSolid coding skills including at least one scripting language and solid understanding of data structures.Experience with Git and CI/CD tooling and practices.Knowledge of Security best practices and technologiesKnowledge of Nvidia GPU ecosystem (architecture, drivers, etc)Practical knowledge of HPC technologies including cluster management and stackAbility to communicate technical designs and concepts clearly and effectively.Understanding of network technologies, architectures, and protocolsExperience with virtualization architecture and platforms is preferred.Familiarity with container-based software deployment and orchestration using Kubernetes is preferred.