DevOps Engineer - Splunk; Remote

Overview

Staff Dev Ops Engineer - Splunk (Remote)

Cisco, Dallas, TX

This role can be performed anywhere in the United States.

Cisco's Web Engineering team is looking for a Dev Ops champion to maintain the web stack across all environments, collaborate with vendors to manage production, and focus on continuous integration and continuous deployment (CI/CD). You will work closely with internal web engineering, IT, and Security Operations teams to build and sustain public-facing websites and applications. Leveraging AI-augmented observability and assurance tools, you will proactively monitor and optimize web infrastructure performance.

You are highly motivated, detail-oriented, reliable, and thrive in a fast-paced environment.

• Bachelor's or Master's degree in Computer Science or related field, or equivalent experience with a strong computer science foundation; 6+ years as a Dev Ops or Site Reliability Engineer.

• Designing and building systems for websites, applications, and web properties.
• Hands-on experience with Content Management Systems such as Adobe Experience Manager (AEM) and Word Press.
• Proficient with AWS cloud services and tools (EC2, ALB, NLB, VPC, EKS, ECS, Route
  53, S3, EBS, EFS) and related products like Packer, Ansible, Linux, Docker.
• Familiarity with version control systems (Git Lab/Git Hub, Bitbucket, SVN) and build tools.
• Experience with web servers such as Apache and Nginx.
• Knowledge of networking concepts including TCP/IP, HTTP/HTTPS, firewalls, and iptables within AWS and Linux environments.
• Configuration management expertise, preferably with Ansible (also Chef, Puppet).
• Strong understanding and practical experience with CI/CD pipelines and tools such as Jenkins, Selenium, Serenity, Cucumber, Sonar, and Gherkin.
• Familiarity with Content Delivery Networks (CDNs) like Akamai or Amazon Cloud Front.
• Security and compliance knowledge, including IAM and cloud auditing/monitoring tools.

• Experience with AI-powered observability platforms such as Splunk Observability Cloud and Thousand Eyes, including AI/ML-driven event correlation and root cause analysis.
• Basic understanding of AI and machine learning concepts, prompt engineering, and responsible AI usage.
• Experience with AI-driven automation in CI/CD pipelines and infrastructure management.

• Ability to quickly learn new skills and tools.
• Strong troubleshooting skills for performance and stability issues.
• Clear communication, thorough documentation, and collaborative peer review.

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Message to applicants applying to work in the U.S. and/or Canada:
The starting salary range posted for this position is $ to $ and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training.