Us Payroll Analyst jobs at Cisco in United States, Atlanta

The application window is expected to close on:7/7/2025

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Responsibilities Include:

• Monitoring internal systems, external data, and open-source information to identify potential security risks.
• Performing first-level reviews and triaging incidents to assess their potential impact on employees, assets, or operations.
• Communicating physical security and safety incidents to partners with urgency and accuracy, following GMC Standard Operating Procedures (SOPs).
• Supporting additional tasks, including research, administrative, and investigative efforts, as needed.
• Generating detailed incident reports and keeping documentation up-to-date with the latest information.
• Tracking employee travel to high-risk locations and ensuring pre-travel security requirements are met.

Minimum Qualifications:

• 2+ years of experience in a Global Security Operations Center or similar environment OR 4+ years of experience in a physical security role.
• Outstanding verbal and written communication skills.
• Ability to prioritize tasks effectively in a fast-paced environment.
• Ability to work independently and as part of a team.
• Flexibility to work outside regular hours as needed to support major incidents or provide shift coverage.

Preferred Qualifications:

• Strong critical thinking and problem-solving skills.
• A customer-focused attitude with a passion for service excellence.
• Experience in high-tech environments and an eagerness to learn new tools and processes.
• Self-motivated and comfortable working in a remote, collaborative team environment.
• Willingness to travel occasionally, including international trips, to support Cisco events or GMC operations on-site.

• Work with the senior engineering leaders, product management, and others to set the technical vision for the Meraki Assurance ML/AI roadmap.
• Guide ML engineering team through defining short, medium, and long-term goals to achieve the vision.
• Help with the recruiting strategy to build a diverse and inclusive team: driving decisions on whom the team needs to hire.
• Mentor and coach engineers through technical challenges.
• Work on projects that span numerous networking domains and systems — to help our ML solutions scale by handling enormous amounts of data.

• 8+ years of professional experience in machine learning, data engineering, software engineering, Dev/Ops or related fields.
• Experience in building large scale AI models and systems using MLOps practices; including deep learning models using frameworks such as Tensorflow, Keras, PyTorch
• Experience working in a team to write robust, maintainable, and extendable code in Python and/or R.
• Experience with complex data sets, ETL pipelines, SQL, and general data engineering
• Expertise with cloud architecture and technologies like Amazon Web Services, Spark, Kubernetes, Docker, Jenkins, Terraform

• Experience building scalable and production ready Generative AI solutions
• Have understanding of Realtime technologies such as Kafka, ClickHouse.