About the Company
At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
We are hiring Quality Assurance Engineers to play an integral role within our technology teams to ensure our AI products meet the highest standards of quality and performance.
This role requires a deep understanding of quality assurance processes, exceptional attention to detail, and passion for ensuring excellence.
The ideal candidate will have extensive experience in both manual and automated testing, and the ability to mentor and lead team members.
Responsibilities
- Collaborate closely with development teams to understand product requirements and ensure they are reflected in test plans
- Perform thorough testing of software applications, including functional, regression, performance, and security testing
- Identify, document, and track bugs through resolution, ensuring timely follow-up and re-testing
- Mentor and guide junior QA engineers, fostering a culture of quality and continuous improvement
- Drive improvements in the QA process, including the adoption of new tools and methodologies
- Participate in code reviews and provide feedback from a QA perspective
- Work closely with DevOps and Development teams to ensure seamless integration of testing into the CI/CD pipeline
- Analyze and report on test results, providing actionable insights to stakeholders
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
- 5+ years of experience in software QA, with at least 2 years in a senior or lead role
- Proficiency in both manual and automated testing techniques
- Strong experience with testing tools and frameworks (e.g., Selenium, JUnit, TestNG, etc.)
- Solid understanding of Agile/Scrum methodologies
- Experience with CI/CD tools (e.g., Jenkins, GitLab CI)
- Excellent problem-solving skills and attention to detail
- Strong communication skills, both written and verbal
- Ability to work collaboratively in a fast-paced environment
Why Join Us?
- A high-performance culture
- State-of-the-art technology
- Experience world-class leadership
- Scale of impact and purpose
- A competitive salary and a huge growth trajectory
- Work with the best in the industry
- Flexible work environment
- Diversity and creativity
Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Austin, TX Hybrid Full-time
Future Secure AI is hiring a Platform Quality Assurance Engineer
About company
We have a distinctive, proven approach for fast, high-ROI deployment of AI in enterprises:
- We build bespoke AI Co-Workers for the Red Zone. They consist of a persona wrapped over a complex multi-agent system to undertake controlled, context-specific workflows with enterprise grade security and high ROI (vs simpler Blue-Zone agentic tools)
- We rely on a new collaborative approach to AI design, build and run with our customers: one that’s a true partnership, not SaaS, not black boxes, not systems integration or consulting
- We have proven experience driving fast ROI impact in large, complex organizations, and are agnostic to cloud infrastructure and LLMs with the ability to easily integrate third-party agents and systems
We focus on Red-Zone (i.e., higher complexity) use cases. Our AI Co-Workers are fast and responsive at scale, orchestrate large numbers of advanced agents, enable highly secure task and process execution and deliver observability that mission-critical enterprise workflows require. We sit below the expensive private data and ML Black-Zone players; and we sit well above the myriad Blue-Zone plug-and-play agentic players who often fail to deliver more complex, context-specific workflows.