Software Microservices Platform Engineering Lead, AI – Agentic AI

Cisco

. Build and operate secure, scalable microservice applications on AWS and Kubernetes .

Posted 9/15/2026full-timeRichardson • Texas • United StatesSenior💰 $151,600 - $222,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operating secure, scalable microservice applications on AWS and Kubernetes, with a strong focus on AI integration and DevSecOps practices. Proven ability to deliver reliable production services and maintain platform stability under load while applying security-first practices.

Highest-signal resume keywords

Microservice DevelopmentAWS Cloud PlatformKubernetes DeploymentGenerative AI IntegrationDevSecOps Practices

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonJavaGoJavaScriptTypeScriptC++REST APIsDistributed ApplicationsRetrieval Augmented GenerationContainerization

Soft Skills

MentoringCollaborationProblem-Solving

Tools & Technologies

LangGraphLangChainSemantic KernelModel Context Protocol

Certifications & Qualifications

Bachelor’s DegreeMaster’s DegreePhD

Industry Keywords

AI SecurityObservabilityEngineering StandardsProduction Quality Applications

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesPythonTypeScriptC++Go

About the role

Key responsibilities & impact

Build and operate secure, scalable microservice applications on AWS and Kubernetes
Own reliability and observability to keep the platform stable under load
Develop and integrate AI and agentic capabilities, including LLM integration, retrieval augmented generation, tool and function calling, and agentic workflows
Apply security-first practices across application, API, container, identity, and data security
Automate testing, delivery, and monitoring through modern DevSecOps practices
Troubleshoot complex production issues through resolution
Contribute to engineering practices and standards
Deliver reliable production services and usable AI features for customers

Requirements

What you’ll need

Bachelor’s degree and 7+ years of related experience, or Master’s degree and 5+ years of related experience, or PhD and 2+ years of related experience, or equivalent related work experience
5+ years of professional software engineering experience delivering production-quality applications
Experience with one or more of Python, Java, Go, JavaScript/TypeScript, or C++
3+ years of experience developing and operating microservices, REST APIs, or distributed applications on a public cloud platform such as AWS, GCP, or Azure
2+ years of experience deploying and operating containerized applications in Kubernetes in a production environment
1+ years of hands-on experience building applications with generative AI or large language models
Experience with retrieval augmented generation (RAG), embeddings, or tool and function calling
Preferred: Master’s degree in Computer Science, Engineering, or Artificial Intelligence and Machine Learning
Preferred experience developing or integrating AI agents and agentic workflows in an enterprise setting
Preferred hands-on experience with LangGraph, LangChain, Semantic Kernel, Model Context Protocol, or comparable agent-to-tool integration technologies
Preferred experience implementing AI security, guardrails, governance, evaluation, or observability
Preferred track record of mentoring engineers, contributing to engineering standards, and collaborating across teams

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, subject to continued employment and vesting periods
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 per full calendar year for non-exempt employees
Flexible vacation time off program with no defined limit for eligible exempt employees
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 for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses for non-sales roles, subject to Cisco policies
Performance-based incentive pay for employees on sales plans