Backend Engineer

Posted 7 Days Ago
Be an Early Applicant
Santiago de los Caballeros
Senior level
Artificial Intelligence • Machine Learning • Software
The Role
Seeking an experienced Backend Engineer to design backend systems, develop APIs, optimize performance, and manage CI/CD in a collaborative environment.
Summary Generated by Built In

Title:

Backend Engineer 

Job Type:

Full-Time

Location:

Remote

Company Description:

Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions.  We work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape.  Our team thrives on solving complex challenges and delivering innovative solutions.  As an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.

Job Summary:

We are seeking an experienced Backend Engineer to join our growing team and help us develop AI products in different cloud environments (AWS, Azure, GCP).

The ideal candidate will have a background in cloud with Python 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.

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

Required Skills & Experience:

  • Bachelor’s degree in computer science, software engineering or related field
  • 4+ years of industry experience as a Backend Engineer
  • Strong proficiency in Python (4+ years) and Flask (2+ years)
  • Deep cloud experience including designing and building end-to-end cloud architectures in AWS or Azure
  • 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), and logging
  • 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:

  • Security experience
  • Strong knowledge of AWS, ideally certified to the associate level (e.g., AWS Solutions Architect Associate) 
  • Frontend experience, ideally React

Contact:

Camila Farias
Technical Recruiter
Mechanized AI

Top Skills

Auth0
AWS
Azure
Cognito
Flask
NoSQL
Pulumi
Python
SQL
Terraform
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The Company
Atlanta, , Georgia
22 Employees
On-site Workplace
Year Founded: 2023

What We Do

Our mission is to help companies unlock the power of enterprise AI and accelerate their application modernization journeys.

Why Mechanized AI?

Founded in 2023, Mechanized AI is built and backed by a team with over four decades of combined AI/ML experience and more than 20 industry certifications.

Our product suite enables end-to-end AI development and deployment, and transforms traditional modernization workflows by automating complex, manual processes. Learn more about our solutions below:

AI Factory

The AI Factory platform enables the buildout of Fortune 500-quality production AI for both enterprise and mid-market businesses.

Insights: Build your blueprint for AI value while assessing and minimizing risk
DataLab: Accelerate data preparation for ML and GenAI while optimizing storage costs
AI Studio: Deploy ML models faster on your own cloud environment with security and flexibility

mAI Modernize

The mAI Modernize suite of products provides AI-powered code modernization for any tech stack, empowering clients to understand and modernize legacy code in hours versus months.

CodeMap: Gain rapid insights into your portfolio of applications in any legacy code language while extracting valuable business rules
CodeGen: Refactor legacy code into modern programming languages with any-to-any tech stack matching
VMShift: Accelerate infrastructure modernization from months to weeks and enable mass migration of VMs to *any* container or cloud platform using the first-ever AI-powered VM-to-container migration solution


Reach out to our team of experts to set up a demo at [email protected] or by visiting www.mechanized.ai.

Get in Touch

[email protected]
[email protected]
[email protected]
[email protected]
[email protected]

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