Senior Back End Developer Python And Flask (Remote)

💵 $36,000-$54,000 annual

📍Remote (LATAM candidates only)

💼 Permanent (B2B) – Mechanized AI

Description:

The ideal candidate will have a background in cloud with Python and data expertise and a proven track record of building and maintaining large-scale backend systems. They will have a passion for AI and be eager to work in a startup environment where agility and innovation are highly valued.

Requirements:

Required Skills & Experience:

-> Bachelor’s degree in computer science, software engineering or related field

-> 4+ years of industry experience as a Cloud Data Engineer/Backend Engineer

-> Strong proficiency in Python (4+ years) and Flask (2+ years)

-> Deep cloud experience including designing and building end-to-end cloud architectures for data-centric products in AWS, Azure, or GCP

-> 2+ years of experience with infrastructure as code (IaC) using tools such as Pulumi, Terraform

-> Experience with authentication best practices (e.g., Autho0, Cognito), SQL and NoSQL on the cloud, network config (NLBs), logging, and data streaming

-> Experience creating multi-tenant and single-tenant platform tools

-> Experience building products via ECS, Flask, Python

-> Knowledge of DevOps best practices

-> Experience with Machine Learning or Deep Learning projects in production

-> DevOps pipeline experience from scratch, using AWS CodePipeline or equivalents

-> Ability to collaborate effectively with frontend team members

-> Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues

-> Ability to work independently and as part of a collaborative team in a fast-paced environment

Preferred Qualifications:

-> Experience with data products on the cloud that manage terabytes of data and millions of pipeline deployments per day

-> 1+ years of PySpark experience

-> Security experience

-> Strong knowledge of AWS, ideally AWS Solution Architect or AWS Certified Data Engineer – Associate or higher certifications

-> Frontend experience, ideally React

-> Experience creating data pipelines on the cloud (e.g., Glue, EMR, serverless EMR, step functions, Kafka/Kinesis, storage, and equivalents)

-> Experience designing and implementing large dataset architectures (e.g., streaming, batch datasets, data lakes, meshes)

Responsibilities:

Key Responsibilities:

-> Design and Develop Backend Systems: Architect, build, and maintain scalable and reliable backend services, ensuring high performance and responsiveness for various applications

-> API Development: Create and manage RESTful APIs, enabling seamless communication between frontend applications and backend systems

-> Collaboration: Work closely with frontend engineers, ML engineers, data engineers, and other team members to integrate and optimize backend solutions that meet project requirements

-> Code Quality and Review: Write clean, maintainable code, and participate in code reviews to uphold high standards of software quality

-> Performance Optimization: Monitor and improve the performance of backend systems, identifying and addressing bottlenecks and scaling issues as they arise

-> Security: Implement and maintain security best practices across all backend systems, ensuring data protection and compliance with relevant regulations

-> DevOps Integration: Manage infrastructure as code and ensure continuous integration/continuous deployment (CI/CD) pipelines are effectively utilized 

-> Troubleshootingand Debugging: Identify, diagnose, and resolve complex technical issues across backend systems, providing timely solutions to maintain system uptime

Recruitment Process:

-> Intro conversation with Mechanized AI Recruiter

-> Interview with a Backend Engineer

-> Interview with CTO

-> Interview with Chief AI Officer

Benefits:

-> 20 days of PTO

-> Local public holidays off

-> Reimbursement for relevant certifications (e.g., AWS)