The industry’s only Agentic Security Automation Platform - Blink enables you to automate all aspects of your security operations by combining AI security agents with deterministic workflows. Retain full control as you deploy your own custom army of virtual security employees - each tasked and responsible for managing specific jobs and capable of taking autonomous decisions. These AI agents leverage the deterministic security workflows assigned to them or by calling upon peer agents as required. Blink empowers security teams to rapidly operationalize response to zero-day and emerging threats by automating detection ingestion, cross-environment hunting, containment, and coordination with human stakeholders.

Join our fast growing team, and help put the power of automation in the hands of every security professional.

About The Role

Join BlinkOps as Platform Team Lead and take full ownership of the platform layer powering our AI-based, high-scale product. You’ll lead a team of talented engineers, own strategy and architecture, and stay hands-on with critical design and development. This is a key leadership role where you'll shape the infrastructure, services, and tooling that drive everything we build.

Your responsibilities:

• Define and evolve the long-term vision for Blink’s application platform, translating product ambitions into a clear technical roadmap
• Lead, mentor, and grow a high-performing engineering team that values craftsmanship, autonomy, and rapid delivery
• Own key infrastructure components, ensuring performance, scalability, and security
• Partner closely with DevOps, Product, and peer engineering teams to ensure the platform scales gracefully as usage and feature complexity surge
• Foster a culture of continuous improvement, ownership, and innovation across the broader R&D organization
  
  

Requirements:

• Excellent communication and leadership skills
• 4+ years of experience as a Software or Platform Engineer
• At least 2 years in a leadership role
• Deep understanding of modern cloud-native architecture (e.g., Kubernetes, Docker, microservices)
• Hands-on experience with backend development (Go preferred, Python, Java or C#)
• Expertise in operating high-scale SaaS systems on AWS, GCP or Azure, with solid grounding in infrastructure-as-code, observability, and secure software development
• Proven track record of building secure, reliable, and scalable systems
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog)
• Experience in a high-scale SaaS environment