Software Engineer

Cisco

Cisco Software Engineer building machine-learning pipelines and AI-driven automation for mission-critical IT operations. Improving reliability, diagnostics, and deployment velocity across global applications.

Posted 8/14/2026full-timeBangalore • 🇮🇳 IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining machine learning pipelines, automating deployment workflows, and integrating AI technologies into IT ecosystems. Proficient in analyzing network performance data and developing monitoring frameworks to enhance operational efficiency.

Highest-signal resume keywords

Machine Learning Pipeline DesignCI/CD Pipeline AutomationPython Scripting ProficiencyAgile Development ExperienceAWS Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning ConceptsCI/CD PipelinesInfrastructure AutomationData AnalysisMonitoring FrameworksTroubleshootingKubernetesDockerGraphQLFastAPI

Soft Skills

Analytical Problem-SolvingExcellent CommunicationInterpersonal Skills

Tools & Technologies

JiraGitHubAmazon BedrockAzure OpenAILangChainLangSmithMuleSoft Agent BrokerLLM OrchestrationAPI Integration

Industry Keywords

AI TechnologiesNetwork AssurancePerformance Data AnalysisKPI TrackingEmerging AI Advancements

Tech Stack

Tools & technologies

AWSAzureDockerGraphQLKubernetesPython

About the role

Key responsibilities & impact

Design, deploy, and maintain high-performance machine learning pipelines for mission-critical AI Technologies initiatives
Automate routine tasks and build robust CI/CD pipelines to streamline deployment workflows
Collaborate with Data Scientists, Software Engineers, and Infrastructure/Operations teams to integrate AI-driven intelligence into existing IT ecosystems
Evaluate network performance data to uncover trends, detect anomalies, and identify optimization opportunities
Develop and manage proactive monitoring and alerting frameworks
Troubleshoot and remediate configuration challenges and systemic service disruptions in AI Technologies environments
Track and report KPIs measuring the business impact and efficacy of AI Technologies implementations
Explore emerging AI and machine learning advancements and apply cutting-edge technologies for continuous improvement

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related field with 2–4 years of relevant experience
Proficiency in scripting languages such as Python and modern automation frameworks
Proven experience with CI/CD pipelines and infrastructure automation
Foundational knowledge of machine learning concepts and practical application in real-world systems
Strong analytical and problem-solving capabilities, including identifying trends in complex datasets
Experience with Agile development processes and ways of working
Experience with Jira, GitHub, and source control management
Excellent communication and interpersonal skills for diverse, cross-functional technical teams
Preferred: direct experience with AI Technologies platforms and network assurance solutions
Preferred: proficiency in AWS, Amazon Bedrock, Azure OpenAI, Kubernetes, Docker, LangChain, LangSmith, GraphQL, FastAPI, MuleSoft Agent Broker, LLM orchestration, and API integration technologies
Preferred: experience designing and deploying scalable machine learning models in production environments

Benefits

Comp & perks

Opportunities to grow and build are described as limitless
Opportunities to experiment and learn
Global network of thinkers, doers, experts, and curious creators
Collaborative team environment with empathy
Work on meaningful solutions with global-scale impact