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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing cloud-native applications and automation services on AWS, integrating AI capabilities using LLM APIs, and implementing secure coding practices. Proficient in designing RESTful APIs and backend services while collaborating with cross-functional teams to enhance software development processes.
Highest-signal resume keywords
AWS Services ExperiencePython And/Or Node.js DevelopmentAI Integration Using LLM APIsRESTful API DesignInfrastructure As Code Using Terraform
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud-Native Application DevelopmentSecure Coding PracticesEvent-Driven ArchitectureData Pipeline DevelopmentAutomation Workflow BuildingCI/CD PracticesDockerPostgreSQLAWS LambdaAWS Bedrock
Soft Skills
Problem-SolvingCommunicationCollaborationDebugging
Tools & Technologies
AWS CDKCloudFormationGitCloudWatchOpenAI APIsAmazon TextractAmazon ComprehendLangChainLlamaIndexVector Search
Industry Keywords
ComplianceGRCRisk ManagementAuditEvidence Management
Tech Stack
Tools & technologiesAWSCloudDockerDynamoDBJavaScriptNode.jsPostgresPythonTerraform
About the role
Key responsibilities & impact- Develop software using Cisco Design Thinking Principles, secure coding practices, privacy protections, and software development best practices
- Partner with design, product management, Security, UX, and cross-functional engineering teams
- 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 Lambda, API Gateway, EventBridge, Step Functions, SQS, and SNS
- Develop secure and scalable data pipelines and integrations across AWS and third-party platforms
- Work with PostgreSQL, RDS, DynamoDB, and S3
- Automate deployments and infrastructure management using CI/CD and infrastructure-as-code practices
- Monitor, troubleshoot, and optimize applications using CloudWatch, logging, metrics, and alerting tools
- Create technical design documentation, architecture notes, deployment procedures, and user documentation
- Participate in code reviews, testing, debugging, and production support
- Address software issues in development and production systems
- Contribute product innovation ideas and improve software development processes
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, or a related field
- 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 including 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
- 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
- Hands-on experience with Docker, ECS, EKS, or containerized deployments on AWS
- Experience with infrastructure as code using Terraform, AWS CDK, or CloudFormation
- Familiarity with vector search, pgvector, OpenSearch, Pinecone, or similar retrieval technologies
- Knowledge of secure coding practices, IAM design, secrets management, and audit logging
- Exposure to compliance, GRC, risk, audit, or evidence management domains
- Strong debugging, problem-solving, communication, and collaboration 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, 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 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
- 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’s policies
- Performance-based incentive pay for sales-plan employees
- Cisco careers site benefits and perks
