Ability to write in one or more scripting tools: Python, PowerShell, Bash. Operations, to include Git, Jenkins, Rundeck, Jira, or Confluence. System administration of Red Hat/Linux servers to include Ansible, Chef, or Puppet.

Experience with Red Hat Enterprise Linux or equivalent Unix OS; RHCSA certification is preferred. Proficiency with Unix utilities and scripting (Perl, Python, shell, Golang) is required.

Must have experience and/or familiarity with one or more of the following: Red Hat Linux, Microsoft Windows, VMware, SharePoint, and cloud platforms such as AWS, Azure, or GCP. Experience and/or familiarity with one or more of the following shell scripts and scripting languages: Bourne shell (sh), GNU Bourne-Again shell (bash), C shell (csh), Korn shell (ksh), Z shell (zsh), Python, PERL, Powershell, etc.

SDLC, Selenium, JUnit, SOAP UI, GIT, Python, Docker, Kubernetes. Unlimited access to Red Hat Enterprise Linux, AWS, and NetApp training and accreditation. SDLC, Selenium, JUnit, SOAP UI, GIT, Python, Docker, Kubernetes.

Apply comprehensive knowledge of High-Performance Computing (HPC) systems, comprised of high-speed, multi-petabyte Lustre file systems, Red Hat Enterprise Linux (RHEL) servers, CPU/GPU compute nodes, and high-performance storage arrays, using Ethernet, fiber, Omni-Path, and InfiniBand interconnections.

Experience with penetration testing and red teaming. Proficient in Python, Bash, and Powershell. Join the Defense Digital Service (DDS) as a Cyber Security Engineer and play a key role in enhancing the Department of Defense's (DoD) cyber resilience.

5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) AWS Generative AI Innovation Center is looking for a Generative AI Data Scientist, who will guide customers on operationalizing Generative AI workloads with appropriate guardrails and responsible AI best practices, including techniques for mitigating bias, ensuring fairness, vulnerability assessments, red teaming, model evaluations, hallucinations, grounding model responses, and maintaining transparency in generative AI models.

Experience developing Python/bash/Perl scripts and employing automation frameworks such as Ansible. Functional knowledge of HPC middleware, and platform managers such as Bright Cluster Manager; employing job schedulers such as PBS, Slurm, Torque, etc.

Experience with scripting tools, such as Bash, PowerShell, JSON, and Python. Knowledge of operating systems, including Linux, UNIX, Ubuntu, or Red Hat. Knowledge of Terraform or other IAC tools.

Experience with Ansible automation Experience with Red Hat Enterprise Linux distribution Experience in programming languages such as Python, Shell, and Perl Expertise in continuous integration Experience with Windows Active Directory Strong experience coding and scripting.

Experience overseeing red team/blue team security games and analysis. Python, Compiler/LLVM, parallel, embedded and JAVA programming, and reverse engineering. Perform regular pen-testing and red/blue teaming.

Experience in programming languages such as Python, Shell, and Perl. Experience with Red Hat Enterprise Linux distribution. Implementing security best practices for Ansible, including credential and secrets management.

Familiarity with Red Teaming / Cyber exploitation concepts (e.g., killchain, MITRE ATT&CK, common hacker tools such as Metasploit/Meterpreter, Kali linux, etc.) Ability to code/script simple programs and functions in Python, bash, powershell, etc., to enable analytic triage and automation.

You're proficient in at least one of the statistical programming languages, such as R, Python, Scala, SAS, SPSS, or Matlab. As an IBM Associate Data Scientist within Federal, you will work to solve business problems using leading-edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites.