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Backend Engineer
hace 2 semanas
**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).
**Key Responsibilities**:
- 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
