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CiscoPosted 3 weeks ago

Cleared DevOps Lead Engineer Hybrid

$149,100–$218,100 year

RemoteUnited States or Washington, United States

Full TimeSenior LevelEnterprise

Job Summary

Lead the modest engineering team and develop high-functioning practices for the Cisco Workspace for Government Application Infrastructure and Deployment Team. Collaborate with multi-functional partners to design, implement, and advise on solutions that meet partner and business needs. Make core technical contributions to software systems, refine architectural decisions, and enforce best practices for the W4G Program. Define and continuously improve CI/CD pipelines while deploying products to US Government networks. Address technical challenges and implement standard methodologies to eliminate friction and simplify workflows.

Required Qualifications

  • U.S. Citizen
  • 7+ years of professional experience in software engineering, DevOps, cloud infrastructure, or other relevant technical areas
  • Self-starter with a willingness to ask forgiveness, not permission, who has a proven track record of collaborating in agile teams, participating in code reviews, leading technical discussions, and interfacing directly with clients to deliver high-quality features on schedule
  • Proven ability to deploy or migrate production applications to cloud-based Kubernetes environments, ensuring scalability and high availability
  • Understanding of cloud computing platforms and services, particularly AWS
  • Extensive experience with Infrastructure as Code (IaC), emphasizing Terraform/OpenTofu
  • Proficiency in one or more programming languages such as Python, Ruby, or Go
  • Experience with CI/CD pipelines (GitLab CI, GitHub Actions, etc.)
  • Capability to apply well-established enterprise standards, processes, and procedures to ensure timely and high-quality delivery of engineering projects
  • Strong knowledge of TCP/IP, routing fundamentals, containerization, and orchestration tools such as Docker and Kubernetes
  • Must be available for work on US Government classified environments
  • Must be able to perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil

Desired Qualifications

  • Active U.S. Government Security Clearance
  • Hands-on experience applying and integrating Large Language Models (LLMs) and AI-powered development tools into software engineering workflows
  • Ability to apply AI to accelerate development, improve code quality, automate routine tasks, enhance troubleshooting, and increase team productivity while maintaining strong engineering judgment and security standards
  • Familiarity with designing, deploying, and scaling applications in the cloud
  • Strong knowledge of software design and deployment principles
  • Experience with microservices architecture and API design
  • Familiarity with databases including both relational and NoSQL databases
  • Proficiency in multiple scripting languages
  • Security knowledge to ensure that systems are designed with security best practices

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