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Software Engineer, Backend – Python
QodeaBackend Python Engineer building generative AI features and cloud-native services for enterprise clients. Developing GCP architectures, LLM integrations, APIs, and automated deployments from Buenos Aires.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python backend development, including mastery of frameworks like FastAPI, Flask, or Django, and proficiency in Google Cloud Platform services such as Vertex AI and Cloud Run. Capable of designing scalable architectures and integrating generative AI features while applying best practices in API design and automated testing.
Highest-signal resume keywords
Python Ecosystem MasteryGoogle Cloud Platform ExperienceGenerative AI IntegrationAsynchronous ProgrammingDocker and Kubernetes Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
PythonFastAPIFlaskDjangoAsynchronous ProgrammingTerraformAPI DesignAutomated TestingGCPLLM Integration
Soft Skills
Fluent English CommunicationCollaboration
Tools & Technologies
Google Cloud RunVertex AIBigQueryCloud SQLDockerKubernetesTerraform
Industry Keywords
Backend DevelopmentWeb ServicesAPI DesignVector DatabasesContent Platforms
Tech Stack
Tools & technologiesBigQueryCloudDjangoDockerFlaskGoogle Cloud PlatformKubernetesPythonSQLTerraform
About the role
Key responsibilities & impact- Develop clean, maintainable, and efficient Python core logic for high-scale content platforms and data-intensive applications
- Build and deploy generative AI features, including RAG pipelines and LLM integrations using Vertex AI
- Design and configure scalable GCP backend architectures using Cloud Run, GKE, and Cloud Functions
- Participate in Technical Design Documents and translate business requirements into functional backend components
- Manage the code lifecycle from local development through production using Terraform IaC and CI/CD pipelines
- Collaborate with US-based product owners and European delivery teams, including early-morning syncs
- Apply best practices in API design, security, and automated testing for reliable enterprise deployments
Requirements
What you’ll need- 3–5 years of professional experience in backend development focused on web services and API design
- Mastery of the Python ecosystem, including FastAPI, Flask, or Django
- Experience with asynchronous programming
- Hands-on experience with Google Cloud Platform, including App Engine, Cloud Run, Vertex AI, BigQuery, and Cloud SQL
- Proven experience integrating LLMs into applications
- Understanding of vector databases such as Vertex Vector Search or Pinecone
- Proficiency with Docker, Kubernetes, and Terraform
- Fluent English skills and ability to discuss technical trade-offs clearly
- Based in Argentina
- Genuine effort to be present in the Buenos Aires office two days a week when not on project work
Benefits
Comp & perks- Work from Home Allowance
- Private Medical Insurance for family group
- Birthday leave
- 10 paid learning days per year
- Bonusly 100 points per month to recognise colleagues