Consertus
Consertus
Consertus ir kapitāla programmu pārvaldības un konsultāciju uzņēmums, kas atbalsta pasūtītājus sarežģītu būvniecības un infrastruktūras iniciatīvu īstenošanā. Uzņēmuma komandas apvieno programmu kontroli, būvniecības un projektu vadību, digitālo integrāciju un profesionālo apmācību, lai palīdzētu organizācijām efektīvi plānot, pārvaldīt īstenošanu, kontrolēt izmaksas un mazināt īstenošanas riskus. Uzņēmums apkalpo publiskā un privātā sektora klientus būvniecības, veselības aprūpes, loģistikas, valsts pārvaldes, infrastruktūras, dzīvības zinātņu, komunālo pakalpojumu un komercattīstības jomā.

Application Developer - Santiago Hybrid

Application Developer at Consertus developing secure, AI-assisted Python applications on Google Cloud Platform. The role covers cloud-native APIs, microservices, infrastructure, and security controls.

Apraksts

  • Build, optimize, and support high-performance Python applications running on Google Cloud Platform
  • Create resilient Python services across Cloud Run, GKE, Cloud Functions, and Compute Engine
  • Develop scalable microservices and event-driven workflows with Cloud Pub/Sub, Cloud Tasks, and Eventarc
  • Build and maintain authenticated, versioned REST APIs with FastAPI and gRPC, while optimizing performance
  • Produce modular, maintainable Python code using PEP 8, static typing, and sound engineering practices
  • Contribute to technical design reviews, sprint planning, code reviews, and architecture discussions
  • Create and maintain Terraform-based Infrastructure as Code
  • Configure and operate CI/CD workflows 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 data services including BigQuery, Cloud SQL, Firestore, Cloud Spanner, and Cloud Storage
  • Help design secure cloud environments with IAM, workload identity federation, and least-privilege controls
  • Apply Claude Code and other AI coding assistants to development, refactoring, testing, and documentation
  • Create prompts and development workflows that yield reliable, scalable, production-ready code
  • Evaluate and improve AI-generated code for quality, maintainability, and security
  • Use AI-assisted tools to create test frameworks, OpenAPI documentation, and developer resources
  • Help advance AI-enabled software development lifecycle practices
  • Perform application security reviews with Bandit, Semgrep, Snyk, and SonarQube
  • Apply OWASP-aligned secure coding, input validation, and API protection practices
  • Manage credentials and secrets with Google Secret Manager and Cloud KMS
  • Maintain alignment with enterprise security and regulatory standards, including SOC 2, ISO 27001, and HIPAA when applicable

Prasības

  • Professional fluency in both English and Spanish across speaking, reading, and writing
  • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline, or equivalent professional experience
  • Three to five years of professional experience developing enterprise software
  • Advanced proficiency with Python 3.10 or later and FastAPI
  • Practical knowledge of asynchronous programming, object-oriented design, and API development
  • Experience designing and deploying containerized applications on Google Cloud Platform
  • 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 tests with pytest, unittest, or comparable frameworks
  • Working knowledge of CI/CD practices and DevOps methods
  • Experience using AI development assistants 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 connecting enterprise systems such as Workday, Salesforce, Deltek Vantagepoint, or Ironclad
  • Preferred: Familiarity with Vertex AI, Document AI, Gemini APIs, LangChain, LlamaIndex, or comparable AI and machine learning frameworks
  • Preferred: Experience with container security, Binary Authorization, Kubernetes security controls, and runtime monitoring
  • Preferred: Contributions to open-source projects, Python packages, or cloud-native tools
  • Preferred: Strong grounding in secure software development and application security principles

Priekšrocības

  • Flexible, inclusive workplace environment
  • Opportunities for professional growth and skill development
  • Equal-opportunity employer committed to an inclusive workplace

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