# Software Engineer at Cisco

Cisco is hiring a Software Engineer. It pays $103k-$147k a year and Level rates it Builds AI ●●●●; you can [apply on Cisco](https://jobsbylevel.com/go/165076fb-ec17-4d7f-8f42-5b30cad61859?utm_medium=ai-agent).

AI Level 4, AI centrality 80 out of 100. RTP, North Carolina, US.

## Details

- Company: [Cisco](https://jobsbylevel.com/companies/cisco)
- AI level: AI Level 4 (score 80 out of 100)
- Location: RTP, North Carolina, US
- Salary: $103k-$147k
- Posted: October 25, 2026
- Apply: https://jobsbylevel.com/go/165076fb-ec17-4d7f-8f42-5b30cad61859?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=software-engineer-at-cisco-ea2ffa

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/software-engineer-at-cisco-ea2ffa

## Description

The application window is expected to close on: 10/29/2026 Meet the Team: Meet the Compliance Automation and Engineering Team—a forward-thinking team of automation engineers, cybersecurity specialists, and technology innovators passionate about transforming the way work gets done. We design intelligent automation solutions that eliminate manual effort, streamline complex compliance and operational workflows, and enable teams to work smarter, faster, and with greater accuracy. By combining engineering expertise with a strong customer-first mindset, we partner across the organization to solve real business challenges through scalable tools, integrations, and process innovation. Our culture thrives on curiosity, collaboration, and continuous improvement, making us a team that values creativity, modern technology, and impactful problem-solving in a rapidly evolving digital landscape. Your Impact Develops software consistent with Cisco ‘Design Thinking Principles’ with a focus on simplification and UX (User Experience) at its core, using secure coding practices, ensuring user privacy, and following software development best practices. Partners with other teams including design and product management to create the right solution for the customers. Creates technical design documentation to be used by the team as well as contributing to user documentation to be used by end users. Debugs and addresses software issues during development and in production systems to support customers. Brings new ideas for product innovation and helps improve software development processes. Responsibilities: Integrate AI capabilities into production applications using LLM APIs, AWS Bedrock, prompt workflows, embeddings, document intelligence, and semantic search. Design and implement RESTful APIs and backend services for automation, orchestration, and AI-driven workflows. Design, develop, and support cloud-native applications and automation services on AWS. Build backend services and intelligent automation workflows using Python and/or Node.js. Design and implement event-driven and serverless architectures using AWS services such as Lambda, API Gateway, EventBridge, Step Functions, SQS, and SNS. Develop secure and scalable data pipelines and service integrations across AWS and third-party platforms. Work with data stores such as PostgreSQL, RDS, DynamoDB, and S3 to support application and workflow needs. Automate deployments and infrastructure management using CI/CD pipelines and infrastructure-as-code practices. Monitor, troubleshoot, and optimize applications using CloudWatch, logging, metrics, and alerting tools. Collaborate with Product, Security, UX, and cross-functional engineering teams to deliver high-quality features and operational improvements. Participate in code reviews, testing, debugging, and production support. Maintain technical documentation, architecture notes, and deployment procedures. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field with 3+ years of professional software development experience. Hands-on experience integrating AI capabilities such as LLM APIs, AWS Bedrock, prompt engineering, embeddings, or retrieval-based workflows. Experience with AWS services such as Lambda, S3, API Gateway, EventBridge, Step Functions, SQS, SNS, RDS, DynamoDB, IAM, and CloudWatch. Experience with Python and/or Node.js backend development for cloud, AI-integrated, or automation-focused applications. Experience building automation workflows, background jobs, or event-driven processing pipelines. Familiarity with Git, CI/CD practices, and cloud deployment processes. Preferred Qualifications: Experience with AWS Bedrock, Amazon Textract, Amazon Comprehend, OpenAI APIs, LangChain, LlamaIndex, or similar AI tooling. Experience designing and building RESTful APIs and integrating internal or external services. Experience building workflow orchestration, agentic systems, or AI-powered automation platforms.

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