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Software Engineer, Backend
CiscoBackend engineer developing Cisco’s production AI/ML platform and applications. Deploying cloud services, containerized microservices, and AI infrastructure from the San Jose office in a hybrid role.
Posted 8/10/2026full-timeSan Jose • California • 🇺🇸 United StatesJuniorMid-Level💰 $125,700 - $176,600 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining AI/ML systems in production environments, with strong programming skills in Python and/or Go. Proficient in deploying services on cloud platforms like AWS, Azure, or GCP, and experienced with containerization technologies such as Docker and Kubernetes.
Highest-signal resume keywords
AI/ML Platform DevelopmentPython ProgrammingAWS DeploymentDocker ContainerizationGenerative AI Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning SystemsPythonGoAWSAzureGCPDockerKubernetesMicroservices ArchitectureData Pipelines
Soft Skills
Team CollaborationProblem SolvingQuick LearningProcess Improvement
Industry Keywords
AI ToolsLLM FrameworksDistributed SystemsService ReliabilityOperational Workflows
Tech Stack
Tools & technologiesAWSAzureDistributed SystemsDockerGoGoogle Cloud PlatformKubernetesMicroservicesPython
About the role
Key responsibilities & impact- Contribute to the design and implementation of AI/ML platform components for Cisco’s AI products under senior engineering guidance
- Assist in deploying, testing, and validating AI/ML infrastructure and services in production
- Analyze performance data and troubleshoot routine technical issues to ensure service reliability
- Collaborate with cross-functional team members on process improvements and standard operational workflows
- Build foundational knowledge of AI tools, LLM frameworks, and distributed systems
- Support the ongoing development and maintenance of backend AI/ML platform technologies
Requirements
What you’ll need- Bachelor's degree in STEM plus 2 years of related experience, or Master's degree in STEM
- Professional experience building or maintaining ML systems in a production environment
- Programming experience using Python and/or Go
- Experience deploying and managing services on AWS, Azure, or GCP
- Experience with containerization technologies such as Docker and Kubernetes
- Experience with microservices architectures
- Exposure to Generative AI technologies and LLM frameworks
- Interest in modern AI tools, ML methodologies, and data pipelines
- Ability to learn quickly and apply best practices to improve product quality and service efficiency
- Desire to grow skills in reliable, maintainable, and distributed backend systems
- Experience participating in team-based projects and contributing to cross-functional initiatives
Benefits
Comp & perks- Medical, dental and vision insurance
- 401(k) plan with a Cisco matching contribution
- Paid parental leave
- Short- and long-term disability coverage
- Basic life insurance
- Cisco restricted stock unit grants may be available, vesting following continued employment
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday
- Paid year-end holiday shutdown
- 4 paid days off for personal wellness
- 16 days of paid vacation time per full calendar year for non-exempt employees
- Exempt employees participate in Cisco’s flexible vacation time off program with no defined limit, subject to availability and business limitations
- 80 hours of sick time off provided on hire date and each January 1st thereafter
- Up to 80 hours of unused sick time carried forward annually
- Additional paid time away may be requested for critical or emergency family issues
- Optional 10 paid days per full calendar year to volunteer
- Annual bonuses may be available for non-sales roles
- Opportunities to grow and build through Cisco’s worldwide network of doers and experts