Senior Full-Stack Engineer - A226

Pearl; Teletrabalho; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading global recruiting firm is seeking a Senior Full-Stack Engineer to drive the architecture and development of AI-enabled applications. This role requires strong expertise in Python, Django, and React, with a focus on scalability and performance. The position is fully remote, offering the opportunity to collaborate with talented teams across the globe. If you have 5+ years of experience and thrive in ownership-heavy environments, apply now to join an innovative team committed to excellence.

Serviços

Competitive Salary

Fully remote work

Performance bonus

Generous PTO

Health coverage

Qualificações

• 5+ years of full-stack engineering experience.
• Strong experience with PostgreSQL database design.
• Hands-on experience deploying machine learning models.
• Proficiency with AWS for app deployment.
• Ability to work autonomously and own systems.

Responsabilidades

• Own architecture, development of web applications.
• Integrate AI features into customer-facing applications.
• Deploy and manage applications using AWS.
• Lead code reviews and mentor junior engineers.

Conhecimentos

Full-stack engineering experience

Python / Django

React

PostgreSQL optimization

AWS

English communication

Ferramentas

Python

Django

React

PostgreSQL

AWS Lambda

AWS ECS

Descrição da oferta de emprego

Industry

Technical

Work Arrangement

Fully Remote with EST time zone overlap

Job Type

Full-time

Work Schedule

Monday to Friday, 9:00 AM – 6:00 PM EST

Locations

Anywhere Remote:

• LATAM : Brazil, Argentina, Colombia, etc.
• AFRICA : Egypt, Algeria, Morocco, etc.
• ASIA : Philippines, Indonesia, Malaysia, etc.
• Other remote regions with strong English communication and relevant design experience

About Pearl Talent

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.

Hear why we exist, what we believe in, and who we’re building for : WATCH HERE

Why Work with Us?

At Pearl, we’re not just another recruiting firm—we connect you with exceptional opportunities to work alongside visionary US and EU founders. Our focus is on placing you in roles where you can grow, be challenged, and build long-term, meaningful careers.

About the Company

Our client is a technology-driven company building intelligent, scalable web applications that integrate modern AI capabilities into real‑world products. Operating in the AI‑powered software and technology space, the company focuses on delivering high‑performance, data‑backed solutions through strong engineering foundations. The team works closely across engineering and data functions to bring production‑ready AI features to market.

Role Overview

This Senior Full‑Stack Engineer role is responsible for owning the architecture, development, and production readiness of AI‑enabled web applications. The role spans backend systems, frontend interfaces, and cloud infrastructure, with a strong emphasis on reliability and scalability. You will work closely with data scientists to productionize machine learning models and integrate them into customer‑facing features. The work is hands‑on, execution‑focused, and highly autonomous. This role is ideal for a senior engineer who thrives in ownership‑heavy environments and enjoys building complex systems end to end.

Your Impact

You will play a critical role in bringing AI‑powered features from concept to production. Your work will directly influence system scalability, application performance, and reliability in live environments. By partnering closely with data science, you will enable machine learning models to deliver real business value. You will help shape engineering standards, improve deployment workflows, and ensure the platform can scale with growing user demand. Your contributions will directly support product innovation and long‑term technical sustainability.

Core Responsibilities

Full‑Stack Architecture & Development

• Architect and build scalable full‑stack applications using Django, React, and PostgreSQL.
• Design, implement, and maintain secure, well‑documented APIs.
• Own backend business logic and frontend implementations for complex features.
• Optimize application performance, reliability, and scalability in production.

AI & Machine Learning Integration

• Integrate machine learning models into production web applications.
• Collaborate with data science teams to operationalize AI‑driven features.
• Deploy, monitor, and support ML models using AWS services.
• Maintain real‑time or batch inference pipelines.

Cloud Infrastructure & Deployment

• Deploy and manage applications using AWS services including Lambda, ECS, and SageMaker.
• Monitor production systems and troubleshoot reliability or performance issues.
• Improve cloud architecture and deployment workflows as the platform scales.
• Enforce best practices around security, observability, and uptime.

Technical Leadership & Collaboration

• Lead code reviews and uphold engineering best practices.
• Mentor junior and mid‑level engineers across frontend and backend work.
• Participate in architectural planning and technical decision‑making.
• Collaborate cross‑functionally during EST working hours.

Requirements

Key Requirements

Must‑Haves (Required)

• 5+ years of full‑stack engineering experience using Python / Django and React.
• Strong experience with PostgreSQL database design and performance optimization.
• Hands‑on experience deploying machine learning models in production environments.
• Proficiency with AWS for web and AI application deployment.
• Ability to work autonomously and own complex systems end to end.
• Availability to work consistently during EST business hours.
• Excellent written and verbal English communication skills.

Nice‑to‑Haves (Preferred)

• Experience with MLOps practices such as model versioning and inference pipelines.
• Familiarity with Docker, Kubernetes, and CI / CD tooling.
• Strong understanding of system scalability, security, and performance optimization.
• Experience in high‑ownership, startup, or fast‑scaling engineering environments.

Tools Proficiency

Must‑Haves (Required)

• Python
• Django
• React
• HTML5
• CSS
• PostgreSQL
• AWS
• AWS Lambda
• AWS ECS
• AWS SageMaker

Nice‑to‑Haves (Preferred)

• Docker
• Kubernetes
• CI / CD tools
• MLOps tooling

Benefits

• Competitive Salary : Based on experience and skills
• Remote Work : Fully remote—work from anywhere
• Performance Bonus : Based on data accuracy, reporting timeliness, and overall sales efficiency
• Team Incentives : Recognition for maintaining 100% CRM hygiene and on‑time reporting
• Generous PTO : In accordance with company policy
• Health Coverage for PH‑based talents : HMO coverage after 3 months for full‑time employees
• Direct Mentorship : Guidance from international industry experts
• Learning & Development : Ongoing access to resources for professional growth
• Global Networking : Connect with professionals worldwide

Our Recruitment Process

• Application
• Screening
• Skills Assessment
• Top‑grading Interview
• Client Interview
• Job Offer
• Client Onboarding

Ready to Join Us?

If this role aligns with your skills and goals, apply now to take the next step in your journey with Pearl.