About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Join an innovative ed-tech company which has developed a best-in-class, curriculum-aligned, AI-powered assistant teacher. Our client is designed to bridge the gap that exists between the high-quality instructional materials that districts have adopted and the diversity of student needs that exist in classrooms, especially with the learning gaps from the pandemic. With the goal of supporting both teachers and diverse learners, Our client helps educators differentiate instruction by providing each student (MLL, students with IEPs, advanced students, struggling readers) with targeted, Socratic, one-on-one and small group support (in 50+ languages) in the context of either core class instruction or intervention support.

Job Summary

As a Cloud Infrastructure Engineer, you will play a crucial role in maintaining and enhancing our AWS cloud infrastructure and application stack that powers Mojo. You'll work directly with our product, development, and operations teams to ensure the reliability, scalability, and security of our systems. This role requires deep AWS expertise and strong full-stack development skills to support our Python Flask application, AWS services integration, and containerized infrastructure. The ideal candidate is technically sophisticated with hands-on experience in cloud infrastructure management, capable of optimizing system performance and recommending architectural improvements.

Responsibilities

• AWS Infrastructure Management & DevOps

• Manage and optimize our AWS cloud infrastructure (ECS Fargate, Lambda, DynamoDB,

• S3, CloudFront, Aurora RDS, etc.)

• Monitor and troubleshoot container deployments, ensuring high availability and performance

• Implement and improve CI/CD pipelines for automated testing and deployment

• Maintain security best practices and compliance across our infrastructure

• Optimize costs while maintaining performance and reliability

• Backend Development & System Integration

• Support and extend our Python Flask application architecture

• Integrate and configure services including uWSGI, Nginx, and Redis

• Manage DynamoDB and Aurora RDS tables and data workflows

• Develop and maintain Lambda functions for various processing tasks

• Work with Docker containers and containerization strategies

• Technical Maintenance & Support

• Diagnose and resolve technical issues across our development and production environments

• Perform system upgrades and patches with minimal service disruption

• Document technical processes, architecture decisions, and system configurations

• Participate in on-call rotation for critical system support (as needed)

• Continuous Improvement

• Recommend and implement architecture improvements based on evolving requirements

• Research and evaluate new technologies and services that could benefit our infrastructure

• Collaborate with the team to establish best practices for code quality and infrastructure management

• Given this is a part-time role, we expect you to provide focused expertise in the areas where you can have the most impact

Qualifications and Job Requirements

• 3+ years of hands-on experience with AWS cloud infrastructure, particularly ECS

• Fargate, Lambda, DynamoDB, RDS, S3, CloudFront, and VPC configuration

• Strong proficiency in Python web framework

• Extensive experience with Docker, containerization, and container orchestration

• Working knowledge of uWSGI, Nginx, and web server configuration

• Familiarity with Linux system administration and shell scripting