Top Tech Jobs & Startup Jobs

Owns the end-to-end design, development, operation, and evolution of internal platforms supporting CTI products. Responsibilities include managing Kubernetes, cloud and on-prem environments, CI/CD, Terraform infrastructure, security controls, observability, and scalable infrastructure for AI/ML systems. The role requires strong Python and Bash skills, AWS and Kubernetes expertise, architectural judgment, and experience building high-scale production systems.

Lead Dream’s motion and video presence from concept through delivery, creating executive interviews, customer films, explainers, social content, and event visuals. Define the brand’s motion language, develop treatments and storyboards, direct production partners, and maintain creative quality. Support high-stakes presentations, briefing materials, web, social, and event assets while collaborating with marketing, product, communications, and brand design teams.

Own application security across the software development lifecycle, including threat modeling, secure design and code reviews, application and API testing, production hardening, vulnerability remediation, and CI/CD controls. Strengthen cloud and platform security through identity guardrails, infrastructure-as-code, Kubernetes controls, policy automation, and secure-by-default practices. Define security metrics, support security programs, train engineering teams, and communicate remediation guidance to technical and leadership stakeholders.

As a Research Infra Engineer, you will design and implement internal platforms for research workflows, build data pipelines, and collaborate with CyberAI researchers to improve efficiency and reliability.

The role involves designing, writing production-grade Python code for AI cybersecurity products, integrating with devices, and collaborating with customers to enhance data collection capabilities.

Design and develop core engines and intelligent agents that emulate adversarial behaviors while improving security resilience. Responsibilities include building AI-driven systems, conducting architecture decisions, and optimizing performance for distributed simulations.

The Applied AI Researcher will train models, maintain benchmarks, preprocess data, conduct experiments, and collaborate with engineering teams within various AI research tracks.

The role involves conducting independent research in AI and cybersecurity, collaborating across tracks, and mentoring junior researchers. Candidates should have a strong publication record and expertise in various AI methodologies.

Lead the design and development of automated tests for UI, API, and integration layers, ensuring fast and reliable software releases. Collaborate with developers to implement robust testing strategies and integrate with CI/CD pipelines.

Analyze and reverse engineer malware used by advanced threat actors, document technical capabilities, and support AI-driven cybersecurity research.