Cloud Backend engineer

MAK Technologies LLC; Houston (TX); Hybrid; USD 83,000 - 131,000; Full time

Job summary

MAK Technologies LLC in Houston invites a Cloud Back-End Engineer to bridge application development and cloud infrastructure. You will design and build high-performance, cloud-native services that scale globally with resilient, secure, and cost-aware architectures baked into every layer.

This role emphasizes modern patterns like microservices, serverless, and containerization to deliver reliable enterprise-grade solutions.

Qualifications

• Back-end engineering with cloud experience.
• Experience designing scalable cloud-native services.
• Familiarity with security, resiliency, and elasticity.

Responsibilities

• Design and implement microservices using cloud-native patterns.
• Architect scalable back-end systems across regions.
• Optimize cloud data stores and caching for enterprise throughput.
• Implement secure, compliant cloud solutions.
• Develop resilient APIs and monitor cost-performance (FinOps).

Skills

Cloud back-end

Cloud-native

Microservices

Serverless

Containerized

Event-driven

Distributed systems

APIs

Cloud security

FinOps

Job description

Location: This is Hybrid role 2 days onsite in Houston, TX

Duration: 12 Months Contract

Mission

We are seeking a Cloud Back-End Engineer to join our group. In this role, you will bridge the gap between application development and cloud infrastructure. You will be responsible for building high-performance, cloud-native services that leverage distributed computing patterns to serve our enterprise customers globally.

The ideal candidate has a deep background in back-end engineering but views the cloud as a programmable environment, ensuring that our services are "born in the cloud" with high resiliency, elasticity, and security baked into the architecture.

Relationships

Reports to Software Project Manager, Software Program Manager, Engineering manager or Team Leader

Responsibilities and Duties

Cloud-Native Development: Design and implement microservices utilizing cloud-native patterns (Serverless, Containerized Microservices, Event-Driven Architectures).

• Distributed Systems & Scalability: Architect back-end systems that scale horizontally across multiple availability zones and regions, ensuring low latency and high 9s of availability.
• Storage & Data Strategy: Optimize the use of cloud-native data stores and implement caching strategies to handle enterprise-level throughput.
• Cloud Security & Compliance: Adhere to and build with best-in-class security practices
• Scalable API Design and implementation: Build resilient APIs
• Cost & Performance Optimization: Monitor and optimize cloud resource consumption (FinOps) to ensure back-end services are cost-effective without sacrificing performance.