Technical Lead Python

Anveta Inc
United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Automation of Tests Clinical Data Repository Cloud Computing Continuous Integration Relational Databases Django Web Framework Python (Programming Language) PostgreSQL
+19 more
Object-Relational Mapping Search Technologies SonarQube SQL Databases SQLAlchemy TypeScript RxJS Flask (Web Framework) Large Language Models Multi-Agent Systems Fastapi AngularJS Gitlab-ci Kubernetes Operational Systems Front End Software Development Restful APIs Terraform GXP

Job description

  • Lead architecture and technical design for complex enterprise products
  • Guide multiple engineering teams in product development
  • Design and develop Python-based APIs using frameworks like FastAPI, Django, or Flask
  • Architect and operate cloud-hosted applications, preferably on AWS
  • Support production releases, operational systems, and testing procedures
  • Communicate effectively with stakeholders and provide technical feedback
  • Ensure alignment with overall architecture and technology landscape

Requirements

  • 10+ years of experience in software or product engineering
  • Demonstrated ownership of architecture for enterprise products
  • Experience with Angular, TypeScript, RxJS, and Reactive Forms
  • Strong understanding of Python, FastAPI, Django, and Flask
  • Knowledge of cloud platforms like AWS, containers, and CI/CD
  • Experience with SQL, relational databases, and ORM patterns
  • Leadership skills and ability to communicate with global teams

Preferred Skills:

  • Domain experience in clinical development and study design
  • Knowledge of validation and regulated systems like GxP
  • Experience with AI engineering and agentic systems
  • Strong understanding of LLM/RAG, LangGraph, and vector search
  • Familiarity with SonarQube, feature flags, and incremental releases

Relevant Technology Landscape:

Area Relevant technologies and patterns Frontend Angular 19.2, TypeScript, RxJS, Reactive Forms, design systems Backend Python, FastAPI, SQLAlchemy, REST APIs, asynchronous services Data Aurora PostgreSQL, Amazon S3, clinical data Cloud and platform AWS, EKS/Kubernetes, Terraform, GitLab CI/CD AI engineering LLM, RAG, vector search, prompt/model governance Engineering practices ADRs, automated testing, SonarQube, feature flags

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