Application Developer

Summary

Consertus is an AI-native global capital program management and advisory firm that combines industry expertise with advanced digital capabilities. The company is seeking an Application Developer to architect, build, optimize, and maintain secure, high-performance Python applications on Google Cloud Platform. The role focuses on cloud architecture, DevOps, AI-assisted development, application security, and enterprise software delivery.

Responsibilities

• Design, develop, test, deploy, and maintain resilient Python applications utilizing 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 robust authentication, versioning, and performance optimization
• Write clean, maintainable, modular Python code following PEP 8 standards, static typing practices, and software engineering best practices
• Participate in technical design sessions, sprint planning, code reviews, and architecture discussions
• Develop and maintain Infrastructure as Code (IaC) solutions using Terraform
• Configure and support CI/CD pipelines utilizing Cloud Build, Artifact Registry, Cloud Deploy, and GitHub Actions
• Implement monitoring, logging, tracing, and alerting strategies using Google Cloud Monitoring, Cloud Logging, and Cloud Trace
• Support enterprise data platforms including BigQuery, Cloud SQL, Firestore, Cloud Spanner, and Cloud Storage
• Assist in implementing secure cloud architecture practices through IAM, workload identity federation, and least-privilege access controls
• Utilize Claude Code and modern AI coding assistants to accelerate development, refactoring, testing, and documentation efforts
• Design effective prompts and workflows that produce reliable, scalable, and production-ready code
• Review, validate, and enhance AI-generated output to ensure quality, maintainability, and security
• Generate automated testing frameworks, OpenAPI documentation, and developer resources using AI-assisted tools
• Support adoption of AI-enabled software development life cycle (SDLC) best practices across the technology organization
• Conduct application security assessments using tools such as 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 solutions comply with applicable enterprise security standards and regulatory requirements including SOC 2, ISO 27001, and HIPAA when required

Skills

• 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 - 5years 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
• Google Cloud Associate Cloud Engineer or Professional Cloud Developer certification
• Google Cloud Professional Cloud Security Engineer or Professional Cloud DevOps Engineer certification
• Experience integrating enterprise platforms such as Workday, Salesforce, Deltek Vantagepoint, or Ironclad
• Familiarity with Vertex AI, Document AI, Gemini APIs, LangChain, LlamaIndex, or other AI/ML development frameworks
• Experience with container security, Binary Authorization, Kubernetes security controls, and runtime monitoring solutions
• Contributions to open-source projects, Python packages, or cloud-native development tools
• Strong understanding of secure software development practices and application security principles

Qualifications

Must Haves

• 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 - 5years 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

Nice to Haves

• Google Cloud Associate Cloud Engineer or Professional Cloud Developer certification
• Google Cloud Professional Cloud Security Engineer or Professional Cloud DevOps Engineer certification
• Experience integrating enterprise platforms such as Workday, Salesforce, Deltek Vantagepoint, or Ironclad
• Familiarity with Vertex AI, Document AI, Gemini APIs, LangChain, LlamaIndex, or other AI/ML development frameworks
• Experience with container security, Binary Authorization, Kubernetes security controls, and runtime monitoring solutions
• Contributions to open-source projects, Python packages, or cloud-native development tools
• Strong understanding of secure software development practices and application security principles

Benefits

• Full Time; Hybrid or Remote, depending on proximity to a local office.