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# Software Engineer Fullstack / Backend II (Full Time) - United States

- **Company:** Cisco Systems, Inc.
- **Location:** Durham, NC, United States
- **Salary:** $125,700.0 - $203,100.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Engineering, Information Systems, Computer Engineering, Concurrency Controls, Continuous Delivery, Continuous Integration, Data Structures, Programming Tools, File Systems, Distributed Data Store, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Network Control, Cloud Services, Ansible, Ruby, Software Engineering, Google Cloud, Application Enhancement Tool, Delivery Pipeline, Multi-Cloud, Infrastructure as Code (IaC), Backend, Cloudformation, Containerization, Puppet, Terraform, Splunk, Cisco, Docker, Programming Languages
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466971462&tx=TT3936TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Meet one of the following (completed within the past 3 years or expected to be completed within the next 12 months ):

-A Master's degree with 0 years of work experience ; or

-A Bachelor's degree with 2 years of work experience ; or

 * An educational or workforce development program (e.g., Associate's, Apprenticeship, Boot camp, or Certification) with 3 years of work experience ; or
 * A High school diploma (or equivalent) with 4 years of work experience.
 * Qualifying education and work experience should be inComputer Science, Computer Engineering, Software Engineering, Electrical Engineering, Information Systems, Mathematics, or a related technical discipline.
 * Demonstratedproficiencywriting software, data structures, and algorithms in at least one modern programming language (such as Go, Python, or Ruby).
 * Hands-on experience building, deploying, or managing cloud infrastructure across major cloud providers (Amazon Web Services, Google Cloud Platform, or Microsoft Azure).
 * Applied coursework or practical experience with Infrastructure as Code (IaC), Configuration as Code (CaC), or automation tooling (such as Terraform, Ansible, Puppet, or CloudFormation)., * Practical experience with Docker containers and Kubernetes container orchestration, including command-line tooling (kubectl).
 * Working knowledge of distributed systems concepts, including concurrency control, consistency models, CAP theorem, or distributed databases/file systems.
 * Familiarity with CI/CD deployment pipelines, automated testing, system observability/telemetry, and Unix/Linux terminal environments.
 * Experienceleveraginggenerative AI tools or machine learning models to automate developer tooling, infrastructure workflows, or script execution.
 * Demonstratedability to take proactive ownership of engineering deliverables, communicate technical concepts effectively, and thrive in an agile team environment.

## Description

As part of this role, you will be responsible for maintaining services in a FedRAMP compliant environment, therefore, must be a U.S. citizen. This position may also perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil.

Meet the Team

Splunk's Control Plane organization builds the foundational, self-service automated platform that empowers hundreds of internal engineering teams to deploy world-class cloud services with speed and safety. By abstracting infrastructure complexity and delivering friction-free deployment workflows, our team directly accelerates how fast Splunk delivers mission-critical observability and security innovations to global enterprises. We are a collaborative, inclusive, and high-impact engineering group that operates with curiosity, autonomy, and mutual mentorship across multi-cloud environments. What makes our team exciting is the opportunity to work on an immense scale, solve deep distributed systems challenges, and leverage artificial intelligence to automate large-scale production infrastructure.

Your Impact

In this role, you will contribute directly to a large-scale codebase deploying daily across multiple cloud platforms-including AWS, GCP, Azure, and GovCloud-to serve thousands of enterprise customers. You will architect self-service developer tools and abstractions that enable internal engineering teams to safely manage infrastructure without central bottlenecks. You will deploy and monitor production systems across multi-cloud environments, tuning telemetry, metrics, and alerting to drive operational excellence. You will participate in supported on-call rotations to diagnose complex system anomalies, resolve production incidents, and identify root causes. Additionally, you will build and integrate AI-powered tools into engineering workflows to automate configuration changes and optimize continuous delivery pipelines.