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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and developing high-performance Python applications on Google Cloud Platform, with a strong focus on secure coding practices, automated testing, and infrastructure as code using Terraform. Bilingual proficiency in English and Spanish enhances communication and collaboration in diverse environments.
Highest-signal resume keywords
Python 3.10+ ProficiencyFastAPI DevelopmentGoogle Cloud Platform DeploymentInfrastructure as Code with TerraformAutomated Testing Frameworks
ATS Keywords
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Hard Skills
Python ProgrammingAsynchronous ProgrammingAPI DevelopmentContainerizationCloud RunGKECloud FunctionsTerraformAutomated TestingSecure Coding Practices
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
Google Cloud PlatformCloud Pub/SubCloud SQLBigQueryCloud StorageCI/CD PipelinesClaude CodeGitHub ActionsCloud MonitoringCloud Logging
Certifications & Qualifications
Google Cloud Associate Cloud EngineerGoogle Cloud Professional Cloud DeveloperGoogle Cloud Professional Cloud Security EngineerGoogle Cloud Professional Cloud DevOps Engineer
Industry Keywords
SOC 2ISO 27001HIPAAApplication SecurityOpenAPI Documentation
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformGRPCKubernetesMicroservicesPythonSQLTerraform
About the role
Key responsibilities & impact- Architect, build, optimize, and maintain high-performance Python applications deployed across Google Cloud Platform
- Design, develop, test, deploy, and maintain resilient Python applications using Cloud Run, GKE, Cloud Functions, and Compute Engine
- Build scalable microservices and event-driven solutions using Cloud Pub/Sub, Cloud Tasks, and Eventarc
- Develop and maintain RESTful APIs with FastAPI and gRPC services, including authentication, versioning, and performance optimization
- Write clean, maintainable, modular Python code following PEP 8 and static typing practices
- Participate in technical design sessions, sprint planning, code reviews, and architecture discussions
- Develop and maintain Terraform Infrastructure as Code solutions
- Configure and support CI/CD pipelines using Cloud Build, Artifact Registry, Cloud Deploy, and GitHub Actions
- Implement monitoring, logging, tracing, and alerting using Google Cloud Monitoring, Cloud Logging, and Cloud Trace
- Support enterprise data platforms including BigQuery, Cloud SQL, Firestore, Cloud Spanner, and Cloud Storage
- Implement secure cloud architecture practices through IAM, workload identity federation, and least-privilege access controls
- Use Claude Code and AI coding assistants for development, refactoring, testing, and documentation
- Design prompts and workflows that produce reliable, scalable, production-ready code
- Review and validate AI-generated output for quality, maintainability, and security
- Generate automated testing frameworks, OpenAPI documentation, and developer resources using AI-assisted tools
- Support adoption of AI-enabled software development lifecycle best practices
- Conduct application security assessments using Bandit, Semgrep, Snyk, and SonarQube
- Implement OWASP-aligned secure coding standards, input validation, and secure API development practices
- Manage secrets and credentials through Google Secret Manager and Cloud KMS
- Ensure compliance with enterprise security standards and regulatory requirements including SOC 2, ISO 27001, and HIPAA when required
Requirements
What you’ll need- Fully bilingual in English and Spanish, with professional fluency in speaking, reading, and writing both languages
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical field, or equivalent professional experience
- 3–5 years of professional software development experience building enterprise applications
- Strong proficiency with Python 3.10+ and FastAPI
- Experience with asynchronous programming, object-oriented design principles, and API development
- Experience designing and deploying containerized applications in Google Cloud Platform environments
- Hands-on experience with Cloud Run, GKE, Cloud Functions, BigQuery, Pub/Sub, Firestore, Cloud SQL, and Cloud Storage
- Experience developing Infrastructure as Code solutions using Terraform
- Experience implementing automated testing frameworks with pytest, unittest, or similar tools
- Familiarity with CI/CD pipelines and DevOps methodologies
- Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor
- Preferred: Google Cloud Associate Cloud Engineer or Professional Cloud Developer certification
- Preferred: Google Cloud Professional Cloud Security Engineer or Professional Cloud DevOps Engineer certification
- Preferred: Experience integrating Workday, Salesforce, Deltek Vantagepoint, or Ironclad
- Preferred: Familiarity with Vertex AI, Document AI, Gemini APIs, LangChain, LlamaIndex, or other AI/ML development frameworks
- Preferred: Experience with container security, Binary Authorization, Kubernetes security controls, and runtime monitoring solutions
- Preferred: Contributions to open-source projects, Python packages, or cloud-native development tools
- Preferred: Strong understanding of secure software development practices and application security principles
Benefits
Comp & perks- Flexible and inclusive work environment
- Hybrid or remote work, depending on proximity to a local office
- Equal employment opportunity and inclusive workplace