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Consertus
Consertus
1.001 – 5.000 Angajați
Asistență medicalăConstrucțiiLogistică
Consertus este o firmă de management și consultanță pentru programe de investiții, care sprijină proprietarii în cadrul unor inițiative complexe de construcții și infrastructură. Echipele sale combină controlul programelor, managementul construcțiilor și al proiectelor, integrarea digitală și formarea profesională pentru a ajuta organizațiile să planifice eficient, să gestioneze execuția, să țină costurile sub control și să reducă riscurile de implementare. Compania deservește clienți din sectorul public și privat în domeniile construcțiilor, sănătății, logisticii, administrației publice, infrastructurii, științelor vieții, utilităților și dezvoltării comerciale.
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Application Developer, Python & Google Cloud (Hybrid)

Build secure, AI-assisted Python applications on Google Cloud for Consertus, a global capital program management and advisory firm. Develop cloud-native APIs, microservices, infrastructure, and security controls.

USStatele Unite ale AmericiiHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăLimbă Obligatorie: spaniolăInginer software
BigQueryCloudGoogle Cloud PlatformgRPCKubernetesMicroserviciiPythonSQLTerraform

Descriere

  • Architect, develop, optimize, and maintain high-performance Python applications on Google Cloud Platform
  • Create, test, deploy, and support resilient Python applications with Cloud Run, GKE, Cloud Functions, and Compute Engine
  • Build scalable microservices and event-driven systems with Cloud Pub/Sub, Cloud Tasks, and Eventarc
  • Develop and maintain FastAPI REST APIs and gRPC services with authentication, versioning, and performance optimization
  • Produce modular, maintainable Python code that follows PEP 8 and static typing practices
  • Contribute to technical design sessions, sprint planning, code reviews, and architecture discussions
  • Create and maintain Terraform infrastructure as code
  • Configure and support CI/CD pipelines with Cloud Build, Artifact Registry, Cloud Deploy, and GitHub Actions
  • Set up monitoring, logging, tracing, and alerting through Google Cloud Monitoring, Cloud Logging, and Cloud Trace
  • Support enterprise data platforms including BigQuery, Cloud SQL, Firestore, Cloud Spanner, and Cloud Storage
  • Apply secure cloud architecture practices using IAM, workload identity federation, and least-privilege access controls
  • Use Claude Code and other AI coding assistants for development, refactoring, testing, and documentation
  • Design prompts and workflows that generate reliable, scalable, production-ready code
  • Evaluate AI-generated code for quality, maintainability, and security
  • Create automated testing frameworks, OpenAPI documentation, and developer resources with AI-assisted tools
  • Help establish AI-enabled software development lifecycle practices
  • Perform application security assessments with Bandit, Semgrep, Snyk, and SonarQube
  • Apply OWASP-aligned secure coding, input validation, and secure API development practices
  • Manage secrets and credentials with Google Secret Manager and Cloud KMS
  • Maintain compliance with enterprise security and regulatory standards, including SOC 2, ISO 27001, and HIPAA when required

Cerințe

  • Professional fluency in both English and Spanish, including speaking, reading, and writing
  • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related technical field, or equivalent professional experience
  • Three to five years of professional software development experience building enterprise applications
  • Strong command of Python 3.10+ and FastAPI
  • Experience with asynchronous programming, object-oriented design, and API development
  • Experience designing and deploying containerized applications in Google Cloud environments
  • Hands-on experience with Cloud Run, GKE, Cloud Functions, BigQuery, Pub/Sub, Firestore, Cloud SQL, and Cloud Storage
  • Experience building infrastructure as code with Terraform
  • Experience creating automated test frameworks with pytest, unittest, or comparable tools
  • Familiarity with CI/CD pipelines and DevOps practices
  • Experience using 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 knowledge of secure software development and application security principles

Beneficii

  • Flexible and inclusive working environment
  • Hybrid or remote work options based on proximity to a local office
  • Equal employment opportunity and an inclusive workplace

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