AI-Native Software Engineer, Cloud (AWS)
Summary
Vailexa is hiring a full-stack AI-native engineer for its security engineering team, building and modernizing AWS-based security tooling that discovers and mitigates security risk for enterprise customers. Day-to-day work spans scalable API platforms, legacy modernization, and spec-driven AI-assisted development using AWS, Python/Java/NodeJS, React, and data stores like Elasticsearch, CockroachDB,
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.
Skills
As published by greenhouse · 1 question
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