17 publicaciones de empleo destacadas en lead python developer with react (¡Están contratando!)

Lead Python Developer with React
EPAM Systems, Inc. —Desde casa
Lead Python Developer
EPAM Systems, Inc. —Desde casa
12d
Senior Python Developer
EPAM Systems, Inc. —Desde casa
Lead Python Full Stack Engineer
EPAM Systems, Inc. —Desde casa
Lead Backend Developer
EPAM Systems, Inc. —Desde casa
Senior Full Stack Engineer (Python/React)
Forager —Buenos Aires, Buenos Aires
- Tiempo completo
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Lead Full Stack Developer
EPAM Systems, Inc. —Desde casa
12d
Chief Python Developer
EPAM Systems, Inc. —Desde casa
12d
Sr Manager of Software Engineering - React Tech Lead
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
Software Engineer (Level 2 & 3)
Workana —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Junior Mobile Engineer (Argentina)
Sezzle —Capital Federal, Buenos Aires
8d
001H - Senior Fullstack Engineer AI-Enabled · Darwoft
Darwoft —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Senior Database Reliability Engineer
Sezzle —Capital Federal, Buenos Aires
Support Engineer
Span —Buenos Aires, Buenos Aires
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Principal Engineer - Data Infrastructure
Sezzle —Desde casa
Solution Architect - Assistant Director - Service Excellence - EY Global Delivery Services
EY —Capital Federal, Buenos Aires
Senior Security Infrastructure Engineer
Sezzle —Buenos Aires, Buenos Aires

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Lead Python Developer
EPAM Systems, Inc. —Desde casa
Our team is looking for a Lead Python Developer to guide technical strategy and contribute hands-on development within our pod, with an emphasis on backend AI…
12d
Lead Python Developer with React
EPAM Systems, Inc. —Desde casa
Flexibility to use React 18, Zustand and TanStack Query, paired with Vite for crafting modern TypeScript-based frontends. Paid time off and sick leave.

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Lead Python Developer with React

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Descripción completa del empleo

We are hiring a Lead Python Developer with React to spearhead the build-out of an enterprise-grade agentic AI platform powered by Python and AWS. The platform coordinates AI agents to automate complex professional workflows. In this role, you will shape architectural direction, lead a team of engineers and safeguard production reliability across a multi-environment deployment pipeline. This hands-on leadership position blends deep backend engineering with modern AI/LLM integration know-how.

Responsibilities

Lead end-to-end delivery of an enterprise-grade agentic AI platform
Shape architectural direction and evolve the design of distributed systems
Coordinate AI agents to automate complex professional workflows
Safeguard production reliability across CI/INT/QA/PROD environments
Provide technical leadership and mentorship to a team of engineers
Run code reviews and oversee technical debt management
Evaluate architectural trade-offs to balance business and engineering priorities
Embed large language models into applications through prompt engineering and agent delegation patterns
Programmatically provision and govern cloud infrastructure across multiple accounts and environments
Establish and refine CI/CD pipelines along with automated deployment workflows

Requirements

5+ years of hands-on backend engineering experience with deep proficiency in Python (3.11+), covering async/await patterns and Pydantic data modeling
Showcase of modular package design within a mono repo leveraging uv workspaces
Expertise in FastAPI for delivering production REST APIs with dependency injection, middleware and SSE streaming
Practical background in LLM / AI Agent Engineering, ideally with Anthropic Claude, spanning tool/skill orchestration and agent delegation
Solid command of AWS Cloud Services including EKS (Kubernetes), RDS (PostgreSQL) and S3, complemented by Redis, ECR and Cognito
Familiarity with AWS Bedrock and AgentCore for managed LLM hosting and serverless agent runtime environments
Qualifications in AWS CDK for Infrastructure as Code spanning multiple accounts and environments
Strong grasp of SQL and the data layer through SQLAlchemy (async), Alembic migrations and PostgreSQL
Competency in CI/CD workflows using GitHub Actions and Docker (multi-stage builds)
Demonstrated technical leadership in coaching engineers and steering architectural decisions
English proficiency at B2 level or higher

Nice to have

Flexibility to use React 18, Zustand and TanStack Query, paired with Vite for crafting modern TypeScript-based frontends
Skills in testing approaches with pytest (async, parallel), Playwright for E2E coverage and quality gate enforcement in CI pipelines
Knowledge of LLM observability platforms such as Langfuse or Promptfoo for tracing, evaluating and monitoring LLM behavior
Capability to implement distributed tracing and application monitoring with OpenTelemetry and Datadog
Background in security and compliance tooling such as SonarQube or Snyk, together with Artillery for load and performance testing
Proficiency in Jinja2 prompt templating for maintainable, template-driven prompt systems

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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