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

Cisco Systems · Boulder, Colorado, US

📍 Boulder, Colorado, USvia workdayFirst listed here 2026-09-24
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Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications accepted until further notice. 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.   Minimum Qualifications   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 in   Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Information Systems, Mathematics, or a related technical discipline.   Demonstrated   proficiency   writing 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).   Preferred Qualifications   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.    Experience   leveraging   generative AI tools or machine learning models to automate developer tooling, infrastructure workflows, or script execution.     Demonstrated   ability to take proactive ownership of engineering deliverables, communicate technical concepts effectively, and thrive in an agile team environment.   Why Cisco?  At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.  We are Cisco, and our power starts with you.  Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks.  Employe

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