Cloud Engineer

Mechanized AI Inc.; San Lorenzo (CA); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading company in AI innovation is seeking an experienced Cloud Engineer to shape their cloud infrastructure. This role involves designing CI/CD pipelines, implementing infrastructure as code, and ensuring security best practices in a collaborative environment. Ideal candidates will have a strong background in cloud architecture and Python development.

Qualifications

• 5+ years of experience in Cloud Engineering/DevOps.
• 3+ years of experience in Python backend development.

Responsibilities

• Design, implement, and manage CI/CD pipelines with a focus on security.
• Collaborate with teams to ensure security best practices are embedded throughout the software lifecycle.

Skills

Cloud Engineering

Python

Linux System Administration

Problem Solving

Communication

Education

Bachelor's degree in computer science

Tools

Terraform

Pulumi

CloudFormation

AWS

CI/CD tools

Job description

Title: Cloud 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 Cloud Engineer to join our growing team and play a pivotal role in shaping our cloud infrastructure.

This position requires a strong background in cloud architecture, automation, and security with an emphasis on scalability, performance, and reliability.

The ideal candidate will be skilled at working with cloud platforms, implementing infrastructure as code (IaC), and Python backend development. This team member will work closely with our engineering team to optimize cloud operations, enhance system resilience, and integrate best-in-class DevSecOps practices.

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines with a focus on security at every stage
• Implement and manage infrastructure as code (IaC) using tools such as Pulumi, Terraform or CloudFormation
• Automate security testing and integrate security tools into the development workflow
• Monitor, detect, and respond to security threats and vulnerabilities in a timely manner
• Collaborate with development, QA, and IT teams to ensure security best practices are embedded throughout the software lifecycle

Required Skills & Experience:

• Bachelor’s degree in computer science, software engineering or related field
• 5+ years of experience in Cloud Engineering/DevOps
• 3+ years of experience in Python backend development using Flask, Django or FastAPI
• Experience working in an environment where all infrastructure is maintained using IaC (e.g., Pulumi, Terraform, CloudFormation)
• Strong knowledge of AWS, ideally certified to the associate level (e.g., AWS Solutions Architect Associate, AWS SysOps Associate)
• Experience with Linux System Administration with strong understanding of Linux Operating System concepts (e.g., process management, network management, the boot process)
• Proficiency in scripting languages (e.g., Bash)
• Experience with CI/CD tools (e.g., AWS CodePipeline, Jenkins, GitLab CI, CircleCI)
• Understanding of network security, VPCs, firewalls, VPNs, IDS/IPS, and endpoint security
• Proficiency in Identity and Access Management (IAM) roles and policies and S3 bucket policies
• 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
• Effective written and oral communications skills – C1/C2 (advanced/proficient) level English is required

Preferred Qualifications:

• Knowledge of compliance frameworks and regulations
• Familiarity with Machine Learning and AI

Contact:

Camila Frias
Recruiter
Mechanized AI