AI-Driven Python Developer — Cloud-Native & Secure

Acumenian (now Consertus); United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Acumenian (now Consertus) is seeking a talented Application Developer to architect, build, and maintain high-performing Python applications deployed on Google Cloud Platform. You will leverage Claude Code and AI tools to accelerate delivery, ensure code quality, and implement robust test suites.

The role blends solid software engineering with AI-native development workflows, event-driven cloud architecture, and a strong security-first mindset.

Qualifications

• Bachelor's degree in CS or related 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 and API design.
• Experience 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 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.

Responsibilities

• Design, develop, test, deploy, and maintain Python applications on GCP using Cloud Run, GKE, Cloud Functions, and Compute Engine.
• Build scalable microservices and event-driven solutions with Pub/Sub, Cloud Tasks, and Eventarc.
• Develop RESTful APIs with FastAPI and gRPC with strong authentication and versioning.
• Write clean, maintainable Python code following PEP 8 and static typing.
• Participate in design sessions, sprint planning, code reviews, and architecture discussions.
• Develop IaC solutions using Terraform.
• Configure CI/CD pipelines with Cloud Build, Artifact Registry, Cloud Deploy, and GitHub Actions.
• Implement monitoring, logging, tracing, and alerting with Cloud Monitoring/Logging.
• Support data platforms like BigQuery, Cloud SQL, Firestore, Cloud Spanner, and Cloud Storage.
• Assist in secure cloud architecture practices including IAM and least-privilege access controls.

Skills

Python

FastAPI

API development

Asynchronous programming

Cloud Platform (GCP)

CI/CD & DevOps

AI-assisted development tools

Education

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related field

Tools

Cloud Run

GKE

Cloud Functions

BigQuery

Pub/Sub

Firestore

Cloud SQL

Cloud Storage

pytest

unittest

CI/CD tooling

Terraform

Job description

Acumenian (now Consertus) is seeking a talented Application Developer to architect, build, and maintain high-performing Python applications deployed on Google Cloud Platform. You will leverage Claude Code and AI tools to accelerate delivery, ensure code quality, and implement robust test suites.

The role blends solid software engineering with AI-native development workflows, event-driven cloud architecture, and a strong security-first mindset.