R&D Team Lead at Torq

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

14 Mar, 26

Salary

0.0

Posted On

14 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership, Software Engineering, AI Development, Go, Python, Cloud Infrastructure, Distributed Systems, Scalable Architectures, CI/CD, Kubernetes, Docker, Monitoring Tools, Logging Tools, Mentoring, Communication, Problem Solving

Industry

Computer and Network Security

Description

Skeletons, lasers, monster trucks — the Torq brand grabs attention like nothing else in cybersecurity. And we’re growing like crazy, with $70M in Series C funding, 200% employee growth, and 300% revenue growth in 2024. Fueling Torq’s growth are our game changing agentic AI security solutions, backed by a team and culture that makes Torq one of Forbes’ Best Startup Employers in America, and a Business Insider ‘startup to bet your career on’. Life at Torq is all gas, no brakes. We’re a team of relentless, collaborative go-getters pushing the boundaries of what’s possible for security automation. Every role is an essential driver of Torq’s success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. Excited about our vision and ready to make an impact as we grow? We’d love to see what you can bring to the team. We are looking for an experienced and passionate R&D Team Lead to join our fast-growing company and lead a core engineering team responsible for building production-grade features and infrastructure that power our product. Our engineering work is central to our product strategy and growth. This team plays a pivotal role in delivering scalable, high-quality systems and enabling automation across the platform. This is a unique opportunity to help shape one of the company’s most strategic initiatives, combining leadership, architecture, and hands-on development in a dynamic environment. Our team moves fast, thinks creatively, and delivers high-quality, scalable systems using modern technologies, all while enjoying the ride! What Will You Do? Lead the architecture, design, development, and deployment of AI driven product in production. Manage and mentor a small, growing team of talented engineers, setting technical direction and driving excellence. You’ll be accountable for the performance, scalability, and adoption of AI-driven features across the product. Work hands-on in Go and Python, delivering high-quality, testable, and efficient code. Design and implement AI-based logic, automations, and data-driven capabilities deeply integrated into the product. Collaborate with other R&D teams to bring intelligent capabilities into the company’s core platform. Define and promote best practices for scalability, reliability, and observability. What Should You Bring to The Table? 5+ years of experience leading software engineering teams and delivering large-scale, production systems end-to-end. Proven experience leading the development and delivery of AI-powered products or features in production environments. Strong hands-on experience in Go and Python. Deep understanding of cloud infrastructure, distributed systems, and scalable architectures (GCP, AWS, or Azure). Experience with CI/CD, Kubernetes, Docker, and modern monitoring / logging tools. A passion for building and delivering AI-powered capabilities to production. Excellent leadership, communication, and mentoring abilities. A proactive “Can-Do” attitude and a drive to build something new. As an equal opportunity employer, we are committed to a team defined and empowered by diversity. We consider qualified applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. By submitting your application, you acknowledge that Torq will process your personal data in accordance with Torq’s Privacy Policy.

Responsibilities

Lead the architecture, design, development, and deployment of AI-driven products in production while managing and mentoring a growing team of engineers. Ensure the performance, scalability, and adoption of AI-driven features across the product.