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Vailexa

AI-Native Software Engineer, Cloud (AWS)

Research Triangle Part (RTP), North Carolina OR San Jose, California

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hirly's read of this role

Role family
Engineering
Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
3 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Build More Than Just a Career. Build Your Future.

At Vailexa, we’re not just hiring — we’re building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you’re someone who wants to learn fast, take ownership, and grow beyond limits, you’ll feel right at home here.

Role Overview

The AI-Native Software Engineer, Cloud (AWS) will join a security engineering team responsible for building tools that discover, mitigate, and report on security risk across a large technology organization's applications, platforms, and services. This role calls for a full-stack engineer with deep AWS expertise who can architect scalable, always-on platforms while modernizing legacy systems, all while working in an AI-native, spec-driven development workflow. The engineer will partner closely with leadership and fellow engineers to deliver industry-leading security tooling for enterprise customers.

Key Responsibilities

Architect and build always-on API platforms that scale to enterprise demand

Modernize legacy applications and monolithic architectures to meet modern development and security needs

Prototype and evolve security capabilities to keep pace with AI-driven software development

Partner with engineering leadership to define and execute agile development plans

Develop, test, deploy, and support production-grade security tooling and services

Evaluate designs critically, including AI-generated code, to catch security gaps and architectural weaknesses before they reach production

Required Qualifications -

BS or MS in Computer Science, Computer Engineering, or a related technical field, or equivalent demonstrated experience

Demonstrated fluency in applying AI technologies across the software development lifecycle, including breaking down user stories, AI-assisted coding and testing, automated defect resolution, and deployment of tested software

Deep, hands-on experience building and deploying production systems on AWS (e.g., EC2, Lambda, ECS/EKS, S3, RDS/DynamoDB, API Gateway), with a track record of customer-facing applications in production

Server-side development experience with Python, Java, NodeJS, or similar technologies

Client-side web development experience using React, Backbone, native JavaScript, or comparable technologies

Expertise building secure, large-scale systems using fault-tolerant technologies such as Elasticsearch, CockroachDB, Oracle, MongoDB, and Kafka

Preferred Qualifications -

AWS certification (e.g., Solutions Architect, Developer)

CISSP, CCSP, or similar security certification

Tools & Technologies

AWS (EC2, Lambda, ECS/EKS, S3, RDS/DynamoDB, API Gateway)

Python, Java, NodeJS

React, Backbone, JavaScript

Elasticsearch, CockroachDB, Oracle, MongoDB, Kafka

Ready to take the next step?

If you’re excited about this role and ready to grow with a team that values ambition, ideas, and impact — we’d love to hear from you.

👉 Apply now and start building your journey with Vailexa.

Original posting on Vailexa's site ↗

Listed on hirly, a job board. hirly is not the employer: Vailexa is hiring for this role.

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