Application Developer

Consertus

. Design, develop, test, deploy, and maintain resilient Python applications using Cloud Run, GKE, Cloud Functions, and Compute Engine .

Posted 10/1/2026full-timeMexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing resilient Python applications and scalable microservices within Google Cloud environments, while adhering to secure coding practices and utilizing Infrastructure as Code methodologies. Proficient in implementing CI/CD pipelines and automated testing frameworks to ensure high-quality software delivery.

Highest-signal resume keywords

Python 3.10+ ProficiencyFastAPI DevelopmentGoogle Cloud Platform ExperienceInfrastructure as Code with TerraformCI/CD Pipeline Configuration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python DevelopmentMicroservices ArchitectureRESTful API DevelopmentAsynchronous ProgrammingContainerizationAutomated Testing FrameworksSecure Coding PracticesEvent-Driven SolutionsInfrastructure as CodeApplication Security Assessments

Soft Skills

Bilingual CommunicationCollaborationProblem-SolvingTechnical Design ParticipationCode Review

Tools & Technologies

Google Cloud RunGKECloud FunctionsTerraformCloud BuildBigQueryCloud SQLCloud StorageClaude CodeGitHub Actions

Certifications & Qualifications

Google Cloud Associate Cloud EngineerGoogle Cloud Professional Cloud DeveloperGoogle Cloud Professional Cloud Security EngineerGoogle Cloud Professional Cloud DevOps Engineer

Industry Keywords

SOC 2 ComplianceISO 27001 ComplianceHIPAA ComplianceSecure Software DevelopmentAI-Enabled SDLC Best Practices

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformGRPCKubernetesMicroservicesPythonSDLCSQLTerraform

About the role

Key responsibilities & impact

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 using FastAPI and gRPC services with authentication, versioning, and performance optimization
Write clean, maintainable, modular Python code following PEP 8, static typing, and software engineering best practices
Participate in technical design sessions, sprint planning, code reviews, and architecture discussions
Develop and maintain Infrastructure as Code solutions using Terraform
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 for 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 SDLC best practices
Conduct application security assessments using Bandit, Semgrep, Snyk, and SonarQube
Implement OWASP-aligned secure coding, input validation, and secure API practices
Manage secrets and credentials through Google Secret Manager and Cloud KMS
Ensure compliance with enterprise security standards and 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 modern application development frameworks including 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 working 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 enterprise platforms such as 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

Collaborative, flexible, and inclusive work environment
Opportunities to grow and develop skills
Meaningful impact through work on complex capital programs
Hybrid or remote work, depending on proximity to a local office