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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing production support for AI-driven applications, with a strong focus on debugging, incident resolution, and maintaining operational SLAs. Proficient in Python-based frameworks and observability tools to enhance system performance and customer satisfaction.
Highest-signal resume keywords
Python Automation DevelopmentTechnical Support ExperienceAI/ML Application SupportIncident Triage and DebuggingObservability Platform Monitoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaSQLPL/SQLOracleMongoDBSnowflakeAngularJSHTTP/RESTful APIsElastic
Soft Skills
Analytical SkillsTroubleshooting SkillsCommunication Skills
Tools & Technologies
LangfuseLangSmithDatadogSplunk
Industry Keywords
Production SupportAI AssistantsConversational InterfacesMicroservicesMCPsSynthetic MonitoringOperational SLAsKnowledge Management
Tech Stack
Tools & technologiesAngularCloudJavaMicroservicesMongoDBOraclePythonSnowflakeSplunkSQL
About the role
Key responsibilities & impact- Act as the main point of contact for production support and manage tickets across business units
- Serve as the primary technical escalation point for production issues affecting AI assistants, conversational interfaces, and foundational AI capabilities
- Triage, debug, and resolve incidents involving model latency, context overflow, prompt drift, and upstream API failures
- Monitor agent workflows, multi-tool function calling, and orchestration layers to maintain high availability and operational SLAs
- Debug and maintain Python-based AI frameworks, microservices, MCPs, and REST API endpoints
- Develop Python automation scripts, health-check utilities, and synthetic monitoring tests
- Monitor AI telemetry, token consumption, error rates, and latency using observability platforms such as Langfuse, LangSmith, Datadog, and Splunk
- Resolve issues effectively while maintaining customer satisfaction
- Document processes, resolutions, and recurring issues for knowledge management and training
- Collaborate on multifunctional projects to identify process improvements and benefits from emerging digital and cloud technologies
Requirements
What you’ll need- Bachelor’s degree in Engineering with 6–7 years of relevant professional experience
- 3+ years of experience using or supporting one or more of: Java, SQL, PL/SQL, Oracle, MongoDB, Snowflake, AngularJS, Python, HTTP/RESTful APIs, Elastic, or Kibana
- 3+ years in Technical Support, SRE, or Software Engineering
- At least 1–2 years dedicated to supporting AI/ML or LLM-driven applications
- Excellent English communication skills to collaborate effectively with global teams
- Strong analytical and troubleshooting skills
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
- 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 for exempt employees
- 80 hours of sick time off provided on hire date and each January 1st
- Up to 80 hours of unused sick time carried forward
- 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
